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Int. J. Mol. Sci., Volume 24, Issue 1 (January-1 2023) – 895 articles

Cover Story (view full-size image): In recent years, the genomic analysis of thermophiles has provided insights into the value of enzymes endowed with lignocellulolytic activity for their use under harsh industrial conditions. The genomic functional annotation of Alicyclobacillus mali FL18 has shown that it is an interesting reservoir of several CAZymes. Among them, AmCel9, which belongs to the poorly characterized family 9 of glycosyl hydrolases (GH9s), was identified and biochemically characterized. AmCel9 exhibits promising features for industrial purposes, such as high stability at different pH values and high activity at a wide range of temperatures. Furthermore, AmCel9 hydrolyses different soluble and insoluble cellulosic substrates, making it a suitable multi-functional candidate for the complete breakdown of cellulose. View this paper
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19 pages, 2777 KiB  
Article
Regulation of Transcriptional Activity of Merkel Cell Polyomavirus Large T-Antigen by PKA-Mediated Phosphorylation
by Mar Falquet, Carla Prezioso, Maria Ludvigsen, Jack-Ansgar Bruun, Sara Passerini, Baldur Sveinbjørnsson, Valeria Pietropaolo and Ugo Moens
Int. J. Mol. Sci. 2023, 24(1), 895; https://doi.org/10.3390/ijms24010895 - 3 Jan 2023
Cited by 1 | Viewed by 5070
Abstract
Merkel cell polyomavirus (MCPyV) is the major cause of Merkel cell carcinoma (MCC), an aggressive skin cancer. MCPyV large T-antigen (LTag) and small T-antigen (sTag) are the main oncoproteins involved in MCPyV-induced MCC. A hallmark of MCPyV-positive MCC cells is the expression of [...] Read more.
Merkel cell polyomavirus (MCPyV) is the major cause of Merkel cell carcinoma (MCC), an aggressive skin cancer. MCPyV large T-antigen (LTag) and small T-antigen (sTag) are the main oncoproteins involved in MCPyV-induced MCC. A hallmark of MCPyV-positive MCC cells is the expression of a C-terminal truncated LTag. Protein kinase A (PKA) plays a fundamental role in a variety of biological processes, including transcription by phosphorylating and thereby regulating the activity of transcription factors. As MCPyV LTag has been shown to be phosphorylated and acts as a transcription factor for the viral early and late promoter, we investigated whether LTag can be phosphorylayted by PKA, and whether this affects the transcript activity of LTag. Using a phosphorylation prediction algorithm, serine 191, 203, and 265 were identified as putative phosphorylation sites for PKA. Mass spectrometry of in vitro PKA-phosphorylated peptides confirmed phosphorylation of S203 and S265, but not S191. Full-length LTag inhibited early and late promoter activity of MCPyV, whereas the truncated MKL2 LTag variant stimulated both promoters. Single non-phosphorylable, as well as phosphomimicking mutations did not alter the inhibitory effect of full-length LTag. However, the non-phosphorylable mutations abrogated transactivation of the MCPyV promoters by MKL2 LTag, whereas phosphomimicking substitutions restored the ability of MKL2 LTag to activate the promoters. Triple LTag and MKL2 LTag mutants had the same effect as the single mutants. Activation of the PKA signaling pathway did not enhance MCPyV promoter activity, nor did it affect LTag expression levels in MCPyV-positive Merkel cell carcinoma (MCC) cells. Our results show that phosphorylation of truncated LTag stimulates viral promoter activity, which may contribute to higher levels of the viral oncoproteins LTag and sTag. Interfering with PKA-induced LTag phosphorylation/activity may be a therapeutic strategy to treat MCPyV-positive MCC patients. Full article
(This article belongs to the Special Issue Viruses and Cancers)
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Figure 1
<p>Amino acid sequence of MCPyV full-length large T-antigen (strainR17b; accession number NC_0102777). Putative phosphoacceptor serine (S), threonine (T), and tyrosine (Y) residues are highlighted in red, green, and blue, respectively. The sequence of the truncated large T-antigen variant MKL2 from a MCPyV-positive MCC tumor is identical except for S in position 20, phenylalanine (F) in position 263, alanine (A) in position 274, and stop (*) at residue 276. The PKA consensus motifs (RxxS) are highlighted in grey and the putative phosphoacceptor site is boxed. The functional CR1 domain (yellow), DnaJ domain (orange), hVam6p (red), pRb binding domain (blue), and NLS (purple) are boxed. The MCPyV large T-antigen unique regions MUR1 and MUR are underlined by a full line, and the origin binding domain is underlined by a dashed line. The C-terminal part of large T-antigen encompasses the ATPase/helicase activity.</p>
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<p>Coomassie staining of peptide 1, peptide 2, and the catalytic subunit of PKA. Five mg peptide was incubated with PKA for 30 min and thereafter run on an acryl amide gel. Proteins were stained with Coomassie blue. The molecule mass marker is shown (in kDa).</p>
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<p>The NCCR of MCPyV with the origin of replication (ORI). The sequence of the ORI is shown and the CC into AA mutation, to generate mutE and mutL, is depicted in red. The early and late orientation of the NCCR is indicated. The vertical lines represent LTAg binding motifs (GRGGC). Putative binding sites for the transcription factors Sp1 (yellow trapezium), NF1 (green diamond), and STAT (blue triangle) are shown. The red triangles represent TATA boxes. AT is an AT-rich sequence.</p>
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<p>Full-length LTag and single mutants in the PKA phosphoacceptor sites inhibit MCPyV early and late promoter activity. HaCaT cells were co-transfected with 1 μg luciferase reporter plasmid containing the replication deficient early (<b>A</b>,<b>B</b>), or late promoter (<b>C</b>,<b>D</b>) and 100 ng (<b>A</b>,<b>C</b>), or 400 ng (<b>B</b>,<b>D</b>), empty vector (EV), or expression plasmid for full-length LTag, or the single non-phosphorylable (S replaced by A) or phosphomimicking (S substituted by D) mutants in S191, S203, and S265, respectively. Each bar represents the average of three independent parallels with standard deviation. Statistically significant differences with empty expression vector are indicated (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; ns = not significant). Luciferase values were corrected for protein concentration of the sample and the corrected value for the empty vector was arbitrarily set as 100%.</p>
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<p>Full-length LTag and triple mutants inhibit MCPyV early and late promoter activity. HaCaT cells were co-transfected with 1 μg luciferase reporter plasmid containing the replication deficient early (<b>A</b>,<b>B</b>), or late promoter (<b>C</b>,<b>D</b>) and 100 ng (<b>A</b>,<b>C</b>), or 400 ng (<b>B</b>,<b>D</b>) empty vector (EV), or expression plasmid for full-length LTag, the tripe mutants 3A (LT-3A) or 3D (LT-3D). Each bar represents the average of three independent parallels with standard deviation. Statistically significant differences with empty expression vector are indicated (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; and *** <span class="html-italic">p</span> &lt; 0.001). Luciferase values were corrected for protein concentration of the sample and the corrected value for the empty vector was arbitrarily set as 100%.</p>
Full article ">Figure 6
<p>Single substitutions in PKA phosphoacceptor residues alter MKL2 LTag’s effect on MCPyV early and late promoter. Cells were co-transfected with luciferase reporter plasmid containing the replication deficient early (<b>A</b>,<b>B</b>) or late promoter (<b>C</b>,<b>D</b>), and 100 ng (<b>A</b>,<b>C</b>) or 400 ng (<b>B</b>,<b>D</b>) empty vector (EV), or expression plasmid for MKL2 LTag or single mutants in the residues S191, S203, and S265, respectively. Statistically significant differences with empty expression vector are indicated on top of the bar, whereas differences between MKL2 LTag and the mutants and between the A and D mutants are indicated on top of the horizontal lines (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; and *** <span class="html-italic">p</span> &lt; 0.001; ns = not significant). Luciferase values were corrected for protein concentration of the sample, and the corrected value for the empty vector was arbitrarily set as 100%.</p>
Full article ">Figure 6 Cont.
<p>Single substitutions in PKA phosphoacceptor residues alter MKL2 LTag’s effect on MCPyV early and late promoter. Cells were co-transfected with luciferase reporter plasmid containing the replication deficient early (<b>A</b>,<b>B</b>) or late promoter (<b>C</b>,<b>D</b>), and 100 ng (<b>A</b>,<b>C</b>) or 400 ng (<b>B</b>,<b>D</b>) empty vector (EV), or expression plasmid for MKL2 LTag or single mutants in the residues S191, S203, and S265, respectively. Statistically significant differences with empty expression vector are indicated on top of the bar, whereas differences between MKL2 LTag and the mutants and between the A and D mutants are indicated on top of the horizontal lines (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; and *** <span class="html-italic">p</span> &lt; 0.001; ns = not significant). Luciferase values were corrected for protein concentration of the sample, and the corrected value for the empty vector was arbitrarily set as 100%.</p>
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<p>Alanine substitutions abrogate whereas aspartic acid replacements of the PKA phosphoacceptor residues restore MKL2 LTag’s ability to induce the MCPyV early and late promoter. HaCaT cells were co-transfected with a luciferase plasmid containing the non-replicative early promoter (mutE) and 100 ng (<b>A</b>) or 400 ng (<b>B</b>) expression plasmids. (<b>C</b>) and (<b>D</b>) as (<b>A</b>) and (<b>B</b>), respectively, but cells were transfected with a luciferase plasmid containing the MCPyV late promoter (mutL). Each bar represents the average of three independent parallels with standard deviation. Statistically significant differences with empty expression vector are indicated on top of the bar, whereas differences between MKL2 LTag and the mutants and between the 3A and 3D mutant are indicated on top of the horizontal lines (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; and *** <span class="html-italic">p</span> &lt; 0.001. Luciferase values were corrected for the protein concentration of the sample, and the corrected value for the empty vector was arbitrarily set as 100%.</p>
Full article ">Figure 8
<p>Mutations in the PKA phosphoaccpetor sites of MKL2 LTag affect transactivation of the CCL17 and IL33 promoters. Cells were co-transfected with a luciferase reporter plasmid containing the sequences −2535/+40 of the CCL17 promoter or −1050/+45 of the IL33 promoter, and empty expression vector (EV) or expression vector for MKL2, MKL2-3A, or MKL2-3D LTag. The bars represent the average of three independent parallels ± SD. The statistically significant difference between promoter activity in the presence of EV and MKL2 (respectively MKL2-3A and MKL2-3D) is shown on top of the bars, whereas differences between MKL2 and the mutants and between MKL2-3A and MKL2-3D are given on top of the lines. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001, ns = not significant.</p>
Full article ">Figure 9
<p>Activation of the PKA pathway does not induce the MCPyV early and late promoter. HaCaT cells were transfected with a luciferase reporter plasmid containing either the MCPyV early or late promoter, or a minimal promoter with four copies of the cAMP response element consensus sequence (CRE). Cells were serum-starved for 24 h and then treated with 10 μM forskolin (FSK) for 1 h. Luciferase activity was corrected for protein concentration in each sample, and promoter activity in the absence of forskloin was set as 100%. Each bar is the average of three independent parallels ± SD. The statistical significance between non-treated and forskolin treated cells is shown with ns = not significant and *** <span class="html-italic">p</span> &lt; 0.001. The results of a representative experiment are shown.</p>
Full article ">Figure 10
<p>Activation of the PKA pathway does not affect LTag expression levels in the MCC cell line WaGa. Cells were serum-starved for 18 h and then exposed to 10 mM forskolin for the time points shown. WaGa cells express a truncated LTag of approximately 45 kDa. ERK2 was used as a loading control. The molecular marker is shown in the lane on the left.</p>
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10 pages, 1233 KiB  
Article
Myelin Basic Protein in Oligodendrocyte-Derived Extracellular Vesicles as a Diagnostic and Prognostic Biomarker in Multiple Sclerosis: A Pilot Study
by Cristina Agliardi, Franca Rosa Guerini, Milena Zanzottera, Elisabetta Bolognesi, Silvia Picciolini, Domenico Caputo, Marco Rovaris, Maria Barbara Pasanisi and Mario Clerici
Int. J. Mol. Sci. 2023, 24(1), 894; https://doi.org/10.3390/ijms24010894 - 3 Jan 2023
Cited by 15 | Viewed by 4498
Abstract
Approximately 15% of multiple sclerosis (MS) patients develop a progressive form of disease from onset; this condition (primary progressive-PP) MS is difficult to diagnose and treat, and is associated with a poor prognosis. Extracellular vesicles (EVs) of brain origin isolated from blood and [...] Read more.
Approximately 15% of multiple sclerosis (MS) patients develop a progressive form of disease from onset; this condition (primary progressive-PP) MS is difficult to diagnose and treat, and is associated with a poor prognosis. Extracellular vesicles (EVs) of brain origin isolated from blood and their protein cargoes could function as a biomarker of pathological conditions. We verified whether MBP and MOG content in oligodendrocytes-derived EVs (ODEVs) could be biomarkers of MS and could help in the differential diagnosis of clinical MS phenotypes. A total of 136 individuals (7 clinically isolated syndrome (CIS), 18 PPMS, 49 relapsing remitting (RRMS)) and 70 matched healthy controls (HC) were enrolled. ODEVs were enriched from serum by immune-capture with anti-MOG antibody; MBP and MOG protein cargoes were measured by ELISA. MBP concentration in ODEVs was significantly increased in CIS (p < 0.001), RRMS (p < 0.001) and PPMS (p < 0.001) compared to HC and was correlated with disease severity measured by EDSS and MSSS. Notably, MBP concentration in ODEVs was also significantly augmented in PPMS compared to RRMS (p = 0.004) and CIS (p = 0.03). Logistic regression and ROC analyses confirmed these results. A minimally invasive blood test measuring the concentration of MBP in ODEVs is a promising tool that could facilitate MS diagnosis. Full article
(This article belongs to the Special Issue Molecular Biomarkers in Neurological Diseases)
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<p><b>ODEVs characterization.</b> (<b>A</b>): Exo-Check™ Exosome Antibody Array on an exemplificative ODEVs lysate. In the image are visible exosomal associated markers: FLOT1 (flotillin-1), ICAM1 (intercellular adhesion molecule 1), ALIX (programmed cell death 6 interacting protein), CD81 and CD63 (tetraspanins), EpCAM (epithelial cell adhesion molecule), ANXA5 (annexin A5), TSG101 (tumor susceptibility gene 101) and controls (2 positive assay control, negative control: blank and GM130: cis-golgi matrix protein: control for cellular contamination). (<b>B</b>): Immuno-gold (OMGp antigen detected) TEM micrograph of an exemplificative ODEVs preparation. Scale bar: 100 nm. (<b>C</b>): Representative size distribution graph of nanoparticle tracking analysis (NTA) that shows size and concentration of enriched ODEVs in a sample from an RRMS patient; a frame of the video is also shown. Mean ODEVs concentration (particles/mL) ± SD and mean ODEVs diameter (nm) ± SD obtained by NTA analysis from five ODEVs samples from the three conditions (HC, PPMS, and RRMS). ANOVA tests <span class="html-italic">p</span> values are reported.</p>
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<p><b>MBP in enriched ODEVs in HC, CIS, RR-MS, and PP-MS.</b> (<b>A</b>): Multiple comparison graphs of MBP concentration in enriched ODEVs, respectively in HC, CIS, RRMS, and PPMS subjects; all data are plotted, and median and interquartile range (IQR) are reported. The reported global <span class="html-italic">p</span> values of the differences between the groups of subjects was calculated by Kruskal–Wallis test for non-parametric distributions. <span class="html-italic">p</span> values of post hoc Dwass–Steel–Critchlow–Fligner for pairwise comparisons are also reported. (<b>B</b>): Multiple comparison graphs of MBP concentration in enriched ODEVs, respectively in HC, (CIS + RRMS) and PP-MS subjects; all data are plotted; median and interquartile range (IQR) are reported. The reported global <span class="html-italic">p</span> values of the differences between the groups of subjects was calculated by Kruskal–Wallis test for non-parametric distributions. <span class="html-italic">p</span> values of post hoc Dwass–Steel–Critchlow–Fligner for pairwise comparisons are also reported.</p>
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<p><b>ROC curve analysis.</b> (<b>A</b>): ROC curves of MBP in enriched ODEVs: HC vs. MS (CIS + RRMS + PPMS). AUC and <span class="html-italic">p</span> value are reported. (<b>B</b>): ROC curves of MBP in enriched ODEVs: PPMS vs. (CIS + RRMS). AUC and <span class="html-italic">p</span> value are reported.</p>
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<p>(<b>A</b>): <b>Correlation between MBP in ODEVs and clinical scales</b>. Bivariate Pearson’s correlation between MBP concentration in enriched ODEVs and EDSS. (<b>B</b>): Bivariate Pearson’s correlation between MBP concentration in enriched ODEVs and MSSS.</p>
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15 pages, 3447 KiB  
Article
Development of a Duplex LAMP Assay with Probe-Based Readout for Simultaneous Real-Time Detection of Schistosoma mansoni and Strongyloides spp. -A Laboratory Approach to Point-Of-Care
by Beatriz Crego-Vicente, Pedro Fernández-Soto, Juan García-Bernalt Diego, Begoña Febrer-Sendra and Antonio Muro
Int. J. Mol. Sci. 2023, 24(1), 893; https://doi.org/10.3390/ijms24010893 - 3 Jan 2023
Cited by 5 | Viewed by 4102
Abstract
Loop-mediated isothermal amplification (LAMP) is the most popular technology for point-of-care testing applications due its rapid, sensitive and specific detection with simple instrumentation compared to PCR-based methods. Many systems for reading the results of LAMP amplifications exist, including real-time fluorescence detection using fluorophore-labelled [...] Read more.
Loop-mediated isothermal amplification (LAMP) is the most popular technology for point-of-care testing applications due its rapid, sensitive and specific detection with simple instrumentation compared to PCR-based methods. Many systems for reading the results of LAMP amplifications exist, including real-time fluorescence detection using fluorophore-labelled probes attached to oligonucleotide sequences complementary to the target nucleic acid. This methodology allows the simultaneous detection of multiple targets (multiplexing) in one LAMP assay. A method for multiplexing LAMP is the amplification by release of quenching (DARQ) technique by using a 5′-quencher modified LAMP primer annealed to 3′-fluorophore-labelled acting as detection oligonucleotide. The main application of multiplex LAMP is the rapid and accurate diagnosis of infectious diseases, allowing differentiation of co-infecting pathogens in a single reaction. Schistosomiasis, caused among other species by Schistosoma mansoni and strongyloidiasis, caused by Strongyloides stercoralis, are the most common helminth-parasite infections worldwide with overlapping distribution areas and high possibility of coinfections in the human population. It would be of great interest to develop a duplex LAMP to detect both pathogens in the same reaction. In this study, we investigate the use of our two previously developed and well-stablished LAMP assays for S. mansoni and Strongyloides spp. DNA detection in a new duplex real-time eight-primer system based on a modified DARQ probe method that can be performed in a portable isothermal fluorimeter with minimal laboratory resources. We also applied a strategy to stabilize the duplexed DARQ-LAMP mixtures at room temperature for use as ready-to-use formats facilitating analysis in field settings as point-of-care diagnostics for schistosomiasis and strongyloidiasis. Full article
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Figure 1
<p>Setting up simplex DARQ-LAMP assays. (<b>A</b>) <span class="html-italic">Schistosoma mansoni</span> DARQ-LAMP. (<b>B</b>) <span class="html-italic">Strongyloides venezuelensis</span> DARQ-LAMP. Evaluation of 15% and 10% percentages of quencher probe duplex (QPD) in relation to the total amount of unlabeled FIP and different supplementary MgSO4 concentrations (4, 6 and 8 mM) to obtain final MgSO4 concentrations of 6, 8 and 10 mM are indicated. NTC, non-template control (ultrapure water instead gDNA); RFU, relative fluorescence units.</p>
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<p>Sensitivity assessment of simplex DARQ-LAMP assays using the Genie III handheld device. (<b>A</b>) Analytical sensitivity for <span class="html-italic">Schistosoma mansoni</span> DARQ-LAMP reaction. (<b>B</b>) Analytical sensitivity for <span class="html-italic">Strongyloides venezuelensis</span> DARQ-LAMP reaction. The 10-fold serial dilutions (5 ng/µL to 5 fg/µL) of gDNA from parasites are represented by different shades of green (for <span class="html-italic">Sm</span>) and blue (for <span class="html-italic">Sv</span>). NTC, non-template control (ultrapure water instead gDNA) is represented by grey lines in both cases. RFU, relative fluorescence units.</p>
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<p>Duplex DARQ-LAMP for simultaneous amplification of gDNA from <span class="html-italic">Schistosoma mansoni</span> and <span class="html-italic">Strongyloides venezuelensis</span> using different combinations of gDNA concentrations as template in different volumes of master mixes. (<b>A</b>) Duplex DARQ-LAMP in 25 µL. (<b>B</b>) Duplex DARQ-LAMP in 20 µL. (<b>C</b>) Duplex DARQ-LAMP in 15 µL. Combinations of gDNA concentrations of the two parasites used as templates are indicated on the right panel. NTC, non-template control (ultrapure water instead gDNA). The reactions were carried out in a PCR max Eco 48 Real Time PCR System. Dotted lines indicate fluorescence reading in channel 1 for <span class="html-italic">Strongyloides venezuelensis</span> amplification (probe labelled with 6-FAM) and continuous lines indicate fluorescence reading in channel 4 for <span class="html-italic">Schistosoma mansoni</span> amplification (probe labelled with Cy5).</p>
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<p>Sensitivity assessment of duplex DARQ-LAMP assay using the Genie III handheld device. (<b>A</b>) Analytical sensitivity for simultaneous detection of <span class="html-italic">Schistosoma mansoni</span> gDNA and <span class="html-italic">Strongyloides venezuelensis</span> gDNA using 10-fold serial dilutions. (<b>B</b>) Analytical sensitivity for <span class="html-italic">S. venezuelensis</span> in duplex DARQ-LAMP reaction. Only the excitation (λex = 495) and emission (λem = 520) channel 1 for fluorescence measurement of 6-FAM is represented. (<b>C</b>) Analytical sensitivity for <span class="html-italic">S. mansoni</span> in duplex DARQ-LAMP reaction. Only the excitation (λex = 648) and emission (λem = 668) channel 2 for fluorescence measurement of Cy5 is represented. The 10-fold serial dilutions (5 ng/µL to 5 fg/µL) of gDNA from parasites are represented by different shades of blue (for <span class="html-italic">S. venezuelensis</span>) and green (for <span class="html-italic">S. mansoni</span>). NTC, non-template control (ultrapure water instead gDNA) is represented by grey lines in both cases. RFU, relative fluorescence units.</p>
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<p>Amplification time of duplex Dry-DARQ-LAMP assays as a function of storage time at ambient temperature. Amplification times of different concentrations of gDNA (10 ng/µL, 5 ng/µL and 2.5 ng/µL) from both <span class="html-italic">Schistosoma mansoni</span> (<span class="html-italic">Sm</span>) and <span class="html-italic">Strongyloides venezuelensis</span> (<span class="html-italic">Sv</span>) in duplex DARQ-LAMP assays performed with dry mixtures containing sets of primers and fluorescence labelled-probes tested at 0, 15, 30 and 60-days post-desiccation are represented. Al reactions were performed in a Genie III portable instrument.</p>
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<p>Schematic illustration of customized primers and the principle of the DARQ-LAMP technique. (<b>A</b>) Schematic illustration of a Quencher Probe Duplex (QPD), with a 5′-quencher FIP (Q-F1c + F2 sequence) annealed to a sequence complementary to F1c labeled at the 3′ end with fluorophore (Fd). In this study, from each set of primers used, both FIP primers (comprising F1c + F2 sequences) were labelled at 5′ end by adding a dark quencher (Q-FIP): Iowa Black RQ (IAbRQ) for <span class="html-italic">Schistosoma. mansoni</span>-FIP primer and Iowa Black FQ (IAbFQ) for <span class="html-italic">Strongyloides</span> spp.-FIP primer. F1c sequences complementary probes were designed and labelled with a fluorophore at 3′ end: Cyanine 5 (Cy5) and 6-Carboxyfluorescein (6-FAM) for amplification of <span class="html-italic">S. mansoni</span> and <span class="html-italic">Strongyloides</span> spp., respectively. (<b>B</b>) Schematic diagram of DARQ-LAMP operation, with LAMP inner primers FIP (F1c + F2) and BIP (B1c + B2) and outer primers F3 and B3 and the QPD (Q-FIP + Fd). (1) LAMP is initiated at the F2c sequence of the DNA target, with the Fd probe turned off by hybridization to Q-FIP. This new strand is displaced by upstream synthesis from the external primer F3. (2) The BIP primer (B1c + B2) is anchored to the B2c sequence on the newly synthesized strand. (3) Synthesis from the primer annealed to the B2c sequence displaces the Fd probe. This releases the quenching generating a fluorescent signal. The newly synthesized strand is displaced by the extension from the external primer B3. (4) The resulting structure undergoes exponential amplification in the LAMP reaction. Successive initiations at primer FIP result in additional release of Fd, resulting in exponential detection of the signal.</p>
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17 pages, 3626 KiB  
Article
Concentration-Dependent Efficacy of Recombinant Human Bone Morphogenetic Protein-2 Using a HA/β-TCP Hydrogel Carrier in a Mini-Pig Vertebral Oblique Lateral Interbody Fusion Model
by Hye-Yeong Lee, Ji-In Kang, Hye-Lan Lee, Gwang-Yong Hwang, Keung-Nyun Kim and Yoon Ha
Int. J. Mol. Sci. 2023, 24(1), 892; https://doi.org/10.3390/ijms24010892 - 3 Jan 2023
Cited by 2 | Viewed by 2605
Abstract
Bone morphogenetic protein-2 (BMP-2) is used in the treatment of degenerative spinal disease and vertebral fractures, spine fusion, dental surgery, and facial surgery. However, high doses are associated with side effects such as inflammation and osteophytes. In this study, we performed spinal fusion [...] Read more.
Bone morphogenetic protein-2 (BMP-2) is used in the treatment of degenerative spinal disease and vertebral fractures, spine fusion, dental surgery, and facial surgery. However, high doses are associated with side effects such as inflammation and osteophytes. In this study, we performed spinal fusion surgery on mini-pigs using BMP-2 and a HA/β-TCP hydrogel carrier, and evaluated the degree of fusion and osteophyte growth according to time and dosage. Increasing the dose of BMP-2 led to a significantly higher fusion rate than was observed in the control group, and there was no significant difference between the 8-week and 16-week samples. We also found that the HA + β-TCP hydrogel combination helped maintain the rate of BMP-2 release. In conclusion, the BMP-2-loaded HA/β-TCP hydrogel carrier used in this study overcame the drawback of potentially causing side effects when used at high concentrations by enabling the sustained release of BMP-2. This method is also highly efficient, since it provides mineral matter to accelerate the fusion rate of the spine and improve bone quality. Full article
(This article belongs to the Special Issue Regeneration for Spinal Diseases 3.0)
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Figure 1
<p>In vitro release kinetics according to the composition of the carrier and the concentration of rhBMP-2. (<b>A</b>) The release pattern of 2 μg and 10 μg rhBMP-2 from HA, TH, and HA + TH using ELISA. Mixing rhBMP-2 at a high concentration with HA + TH as a carrier delayed the release of rhBMP-2. (<b>B</b>) The amount of rhBMP-2 released at intervals of 0–1, 1–2, and 2–3 weeks. From 0 to 1 week, HA and TH released much more rhBMP-2 than HA + TH. (<b>C</b>) Concentration-dependent release patterns of rhBMP-2 from HA + TH. Although there was a difference in the amount of rhBMP-2 released depending on the rhBMP-2 concentration, the pattern was almost the same. Most of the rhBMP-2 was released in 0–1 weeks, and there was no significant change at 1–2 weeks. However, when 10 μg of rhBMP-2 was used, it was detected at 2–3 weeks in amounts greater than observed at 1–2 weeks, along with carrier degradation. * <span class="html-italic">p</span> &lt; 0.05 and *** <span class="html-italic">p</span> &lt; 0.001 indicate statistically significant differences.</p>
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<p>Fusion rate and osteophyte analysis of 2-dimensional sections. (<b>A</b>) A schematic image of the lumbar spine and cage implanted axial section. (<b>B</b>) Through micro-CT, the fusion rate was analyzed and scored from 0 to 20 points. (<b>C</b>,<b>D</b>) A significant difference in fusion was clearly observed between the control (Ctrl) and BMP groups. The BMP group had a higher fusion score. (<b>E</b>,<b>F</b>) A significant difference was also found in osteophyte formation, with lower BMP concentrations corresponding to lower scores. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001 indicate statistically significant differences.</p>
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<p>Trabecular bone analysis of 3-dimensional micro-CT images. (<b>A</b>) A 3D-reconstruction image of spine OLIF using micro-CT. (<b>B</b>) Trabecular bone analysis on a 3D-micro-CT image. The bone volume fraction, trabecular thickness, number, and separation were analyzed for total and new bone. In total and new bone, the bone volume fraction and trabecular number increased in proportion to the presence of rhBMP-2. However, fiber strain segregation showed an inverse pattern, decreasing with higher rhBMP-2 concentrations. However, significant differences were not found according to the concentration of rhBMP-2, and the low-rhBMP2-concentration group tended to show higher values for the bone volume fraction. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001 indicate statistically significant differences.</p>
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<p>H&amp;E staining to confirm the bone region and inflammatory reaction. (<b>A</b>) Overall and magnified pictures after hematoxylin and eosin (H&amp;E) staining inside the cage of the fusion area. (<b>B</b>,<b>C</b>) Graphs analyzing the bone area (stained purple and pink). The bone area increased in proportion to the concentration of rhBMP-2 in the 8-week spine samples, but the low-concentration group (500 μg of rhBMP-2) showed higher values in the 16-week spine sample. (<b>D</b>) Magnified image of the fusion region. The BGM carrier was used for the synthesis of the new bone area at 8 weeks. Bone remodeling by osteoclasts was accelerated at 16 w after new bone synthesis was completed and increased in proportion to the concentration of rhBMP-2. Furthermore, inflammatory cells were recruited in the fusion region in the high-concentration group (1000 μg of rhBMP-2). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001 indicate statistically significant differences.</p>
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<p>GT staining of organic and mineralized regions. (<b>A</b>) Overall and magnified pictures after GT staining inside the cage of the fusion area. (<b>B</b>,<b>C</b>) A graph analyzing the osteoid region (stained red and orange) and the mineralized region (stained sky blue). The low-concentration group (500 μg of rhBMP-2) had an overwhelmingly high value of the osteoid area at 8 weeks. It also showed high values of the mineralized region compared to the other group at 16 weeks. (<b>D</b>) Magnified images of the fusion region. In the control (Ctrl) group, the osteoid and mineralized areas formed in small proportions and were located between the BGM carrier. In the low-concentration group (500 μg of rhBMP-2), the osteoid and mineralized areas were mixed at 8 weeks, but the mineralized area increased overwhelmingly at 16 weeks. In the high-concentration group (1000 μg of rhBMP-2), only the mineralized area was observed at all periods. (<b>E</b>) Graphs analyzing the fusion rate and osteophytes. (<b>D</b>) Sagittal section of a lumbar spine from 16 weeks that was subjected to GT staining. Outside the PEEK cage, an increase in osteophytes was observed in proportion to the concentration of rhBMP-2. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001 indicate statistically significant differences.</p>
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<p>VK staining of calcium-positive mineralized regions. (<b>A</b>) Overall and magnified pictures after VK staining inside the cage of the fusion area. (<b>B</b>,<b>C</b>) A graph analyzing calcium-positive mineralized areas (stained dark brown). The calcium-positive area increased in proportion to the concentration of rhBMP-2 in the 8-week spine samples. However, the low-concentration group (500 μg of rhBMP-2) showed high values in the 16-week spine samples. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 indicate statistically significant differences.</p>
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<p>Establishment of the swine OLIF model. (<b>A</b>) Schematic and X-ray images of the swine oblique lateral interbody fusion (OLIF) in the lumbar spine. rhBMP-2 (0, 500 μg [1.9 mg/cc]), 1000 μg [3.8 mg/cc]) was mixed with 0.53 mL of the bone graft material (BGM). The BGM was used to fill the PEEK cage (14 × 13 × 7 mm) and implanted at the lumbar 2–3 and 4–5 levels. (<b>B</b>) Steps of OLIF surgery in the swine lumbar spine.</p>
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25 pages, 3787 KiB  
Review
Bioprinting Technologies and Bioinks for Vascular Model Establishment
by Zhiyuan Kong and Xiaohong Wang
Int. J. Mol. Sci. 2023, 24(1), 891; https://doi.org/10.3390/ijms24010891 - 3 Jan 2023
Cited by 14 | Viewed by 5564
Abstract
Clinically, large diameter artery defects (diameter larger than 6 mm) can be substituted by unbiodegradable polymers, such as polytetrafluoroethylene. There are many problems in the construction of small diameter blood vessels (diameter between 1 and 3 mm) and microvessels (diameter less than 1 [...] Read more.
Clinically, large diameter artery defects (diameter larger than 6 mm) can be substituted by unbiodegradable polymers, such as polytetrafluoroethylene. There are many problems in the construction of small diameter blood vessels (diameter between 1 and 3 mm) and microvessels (diameter less than 1 mm), especially in the establishment of complex vascular models with multi-scale branched networks. Throughout history, the vascularization strategies have been divided into three major groups, including self-generated capillaries from implantation, pre-constructed vascular channels, and three-dimensional (3D) printed cell-laden hydrogels. The first group is based on the spontaneous angiogenesis behaviour of cells in the host tissues, which also lays the foundation of capillary angiogenesis in tissue engineering scaffolds. The second group is to vascularize the polymeric vessels (or scaffolds) with endothelial cells. It is hoped that the pre-constructed vessels can be connected with the vascular networks of host tissues with rapid blood perfusion. With the development of bioprinting technologies, various fabrication methods have been achieved to build hierarchical vascular networks with high-precision 3D control. In this review, the latest advances in 3D bioprinting of vascularized tissues/organs are discussed, including new printing techniques and researches on bioinks for promoting angiogenesis, especially coaxial printing, freeform reversible embedded in suspended hydrogel printing, and acoustic assisted printing technologies, and freeform reversible embedded in suspended hydrogel (flash) technology. Full article
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<p>Hierarchical vascular tree and cross sections of different blood vessels, showing different blood vessel structures.</p>
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<p>(<b>a</b>) Traditional tissue engineering blood vessel construction method. (<b>i</b>) Tubular scaffolds were prepared before endothelial cells (ECs) were seeding on the inner surface of the scaffolds; (<b>ii</b>) Stimulating capillary angiogenesis directly within the tissue engineered scaffolds. (<b>b</b>) A general depiction of 3D bioprinting for vascularized tissue construction. Multi-scale branched blood vessels can be obtained by printing ECs in a scaffold, and an ideal organoid can be obtained after in vitro cultures.</p>
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<p>(<b>a</b>) Schematic diagrams of the thermal inkjet printing and EHD inkjet printing techniques. (<b>b</b>) Schematic of the manufacturing process using a sacrificial Pluronic F127 solution to form the microvasculature followed by casting a cell-containing methacrylated gelatin (GelMA) suspension and photopolymerization. Adapted from Ref. [<a href="#B21-ijms-24-00891" class="html-bibr">21</a>]. (<b>c</b>) Printed fibrin scaffold using modified thermal inkjet printer. Only minor deformations of the printed pattern were noticed at y-axis. (<b>d</b>) Perfusion of fluorescent dextran solution into a GFP-HDFs/RFP-HUVECs co-culture construct. Far-red dextran flow is marked as blue pseudocolour after image processing, reported by Zheng et al. (<b>c</b>,<b>d</b>) adapted from Ref. [<a href="#B26-ijms-24-00891" class="html-bibr">26</a>].</p>
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<p>(<b>a</b>) Laser-assisted bioprinting based on laser-induced forward transfer. Adapted from Ref. [<a href="#B33-ijms-24-00891" class="html-bibr">33</a>]. (<b>b</b>) Green fluorescent labeled endothelial cells printed in the patterns (<b>i</b>) of grids on Matrigel, (<b>ii</b>) the enlarged line of (i), (<b>iii</b>) cross-sections of the printed vascular structures. Adapted from Ref. [<a href="#B34-ijms-24-00891" class="html-bibr">34</a>].</p>
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<p>(<b>a</b>) Extrusion bioprinting nozzle (or syringe) systems (pneumatic, piston and screw). (<b>b</b>) A digital computer-aided design (CAD) model with an outlook and an internal branched network of the vascular networks. (<b>c</b>) A common layer interface (CLI) file. (<b>d</b>) Schematic illustration of the fabrication process of a layered vessel model using a dual-jet extrusion printer by Wang et al. (<b>e</b>) A 3D printed hybrid hierarchical polyurethane-cell/hydrogel structure. (<b>f</b>) The middle part of (<b>e</b>) with branched/grid internal cell/hydrogel channels. (<b>b</b>–<b>f</b>) are adapted with permission from Ref. [<a href="#B49-ijms-24-00891" class="html-bibr">49</a>]. Copyright © 2023 Elsevier B.V. All rights reserved.</p>
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<p>(<b>a</b>) Schematic illustration of a coaxial bioprinting technique. (<b>b</b>) A long vasculature conduit printed in a zigzag pattern with perfused cell culture media, and a branched vasculature, reported by Zhang et al. Reprinted from Ref. [<a href="#B67-ijms-24-00891" class="html-bibr">67</a>]. (<b>c</b>) A customized nozzle with a 5-point star geometry and the cross-section of the 5-point star tube produced using the nozzle, reported by Millik et al. Reprinted from Ref. [<a href="#B68-ijms-24-00891" class="html-bibr">68</a>]. (<b>d</b>) Schematic illustration of a multichannel coaxial extrusion system, reported by Pi et al. Two cellular bioinks are delivered respectively through the openings 1, 2 to form the second (i.e., middle) and third (i.e., outer) layers of the vessels, while a sacrificial material is delivered through the opening 3 to form the inner layer of the vessel. Reprinted from Ref. [<a href="#B70-ijms-24-00891" class="html-bibr">70</a>]. (<b>e</b>) A double-layered blood-vessel-like structure produced using a triple concentric nozzle, in which, human smooth muscle cells (hSMCs) in red and human umbilical vein endothelial cells (HUVECs) in green at day 5, reported by Bosch et al. Reprinted from Ref. [<a href="#B72-ijms-24-00891" class="html-bibr">72</a>].</p>
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<p>(<b>a</b>) A schematic of the FRESH process showing the hydrogel (<b>green</b>) being extruded and cross-linked within the gelatin slurry support bath (<b>yellow</b>). The 3D object is built layer-by-layer and, when completed, is released by heating to 37 °C and melting the gelatin, reported by Hinton et al. Reprinted from Ref. [<a href="#B75-ijms-24-00891" class="html-bibr">75</a>]. (<b>b</b>) A FRESH-printed collagen heart (<b>left</b>), and cross-sectional view of the collagen heart (<b>right</b>), showing the left and right ventricles and interior structures, reported by Lee et al. Reprinted with permission from Ref. [<a href="#B76-ijms-24-00891" class="html-bibr">76</a>]. Copyright © 2023, The American Association for the Advancement of Science. (<b>c</b>) Schematic description of the acoustic printing device, based on surface acoustic waves (SAW), reported by Naseer et al. Reprinted from Ref. [<a href="#B77-ijms-24-00891" class="html-bibr">77</a>]. (<b>d</b>) Sound-induced morphogenesis (SIM) based on Faraday waves, (<b>i</b>–<b>v</b>) are schematic diagrams of the formation of vascular network, reported by Petta et al. Reprinted from Ref. [<a href="#B78-ijms-24-00891" class="html-bibr">78</a>]. (<b>e</b>) Stereolithography bioprinting of branch blood vessels. (<b>f</b>) A vascularized alveolar model topology, reported by Grigoryan et al. Reprinted from Ref. [<a href="#B79-ijms-24-00891" class="html-bibr">79</a>]. (<b>g</b>) A liver model with smooth surface and monolithic, translucent hydrogel body, in which, a vascular channel network was filled, stained with rhodamine B and visualized under fluorescence, reported by Anandakrishnan et al. Adapted from Ref. [<a href="#B80-ijms-24-00891" class="html-bibr">80</a>].</p>
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<p>A combined four-nozzle 3D organ bioprinting technology created in Prof. Wang’s laboratory at Tsinghua University in 2013. Adapted from Ref. [<a href="#B49-ijms-24-00891" class="html-bibr">49</a>]: (<b>a</b>) equipment of the combined four-nozzle 3D organ bioprinter; (<b>b</b>) working state of the combined four-nozzle 3D organ printer; (<b>c</b>) a CAD model representing a large-scale vascularized and innervated hepatic tissue; (<b>d</b>) a semielliptical 3D construct containing a poly (lactic-co-glycolic acid) (PLGA) overcoat, a hepatic tissue made from hepatocytes in a gelatin/chitosan hydrogel, a branched vascular network with fully confluent endothelialized ASCs on the inner surface of the gelatin/alginate/fibrin hydrogel, and a hierarchical neural network made from Schwann cells in the gelatin/hyaluronate hydrogel; the maximal diameter of the semiellipse can be adjusted from 1 mm to 2 cm according to the CAD model; (<b>e</b>) a cross section of (<b>d</b>), showing the endothelialized ASCs and Schwann cells around a branched channel; (<b>f</b>) a large bundle of nerve fibers formed in (<b>d</b>); (<b>g</b>) hepatocytes underneath the PLGA overcoat; (<b>h</b>) an interface between the endothelialized ASCs and Schwann cells in (<b>d</b>); (<b>i</b>) some thin nerve fibers.</p>
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15 pages, 3688 KiB  
Article
Metabolic Signature of Energy Metabolism Alterations and Excess Nitric Oxide Production in Culture Media Correlate with Low Human Embryo Quality and Unsuccessful Pregnancy
by Romina Pallisco, Giacomo Lazzarino, Gabriele Bilotta, Francesca Marroni, Renata Mangione, Miriam Wissam Saab, Maria Violetta Brundo, Alessandra Pittalà, Giuseppe Caruso, Elena Capoccia, Giuseppe Lazzarino, Barbara Tavazzi, Pasquale Bilotta and Angela Maria Amorini
Int. J. Mol. Sci. 2023, 24(1), 890; https://doi.org/10.3390/ijms24010890 - 3 Jan 2023
Cited by 1 | Viewed by 2505
Abstract
Notwithstanding the great improvement of ART, the overall rate of successful pregnancies from implanted human embryos is definitely low. The current routine embryo quality assessment is performed only through morphological criteria, which has poor predictive capacity since only a minor percentage of those [...] Read more.
Notwithstanding the great improvement of ART, the overall rate of successful pregnancies from implanted human embryos is definitely low. The current routine embryo quality assessment is performed only through morphological criteria, which has poor predictive capacity since only a minor percentage of those in the highest class give rise to successful pregnancy. Previous studies highlighted the potentiality of the analysis of metabolites in human embryo culture media, useful for the selection of embryos for implantation. In the present study, we analyzed in blind 66 human embryo culture media at 5 days after in vitro fertilization with the aim of quantifying compounds released by cell metabolism that were not present as normal constituents of the human embryo growth media, including purines, pyrimidines, nitrite, and nitrate. Only some purines were detectable (hypoxanthine and uric acid) in the majority of samples, while nitrite and nitrate were always detectable. When matching biochemical results with morphological evaluation, it was found that low grade embryos (n = 12) had significantly higher levels of all the compounds of interest. Moreover, when matching biochemical results according to successful (n = 17) or unsuccessful (n = 25) pregnancy, it was found that human embryos from the latter group released higher concentrations of hypoxanthine, uric acid, nitrite, and nitrate in the culture media. Additionally, those embryos that developed into successful pregnancies were all associated with the birth of healthy newborns. These results, although carried out on a relatively low number of samples, indicate that the analysis of the aforementioned compounds in the culture media of human embryos is a potentially useful tool for the selection of embryos for implantation, possibly leading to an increase in the overall rate of ART. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Sperm Activation)
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<p>Concentrations of hypoxanthine (<b>A</b>), uric acid (<b>B</b>), and the sum of oxypurines (<b>C</b>) detected in culture media of human embryos at 5 days post-fertilization. The two groups of high-grade (n = 54, empty circles) and low-grade (n = 12, red filled circles) embryos were morphologically classified according to the Gardner scale. The mean values are represented by the horizontal bars. Sum oxypurines = hypoxanthine + uric acid. * Significantly different from high grade, q &lt; 0.0001 (<b>A</b>–<b>C</b>).</p>
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<p>Concentrations of nitrite (<b>A</b>), nitrate (<b>B</b>), and nitrite + nitrate (<b>C</b>), as stable end-products of nitric oxide metabolism, detected in culture media of human embryos at 5 days post-fertilization. The two groups of high-grade (n = 54, empty circles) and low-grade (n = 12, red filled circles) embryos were morphologically classified according to the Gardner scale. The mean values are represented by the horizontal bars. * Significantly different from high grade, q &lt; 0.001, (<b>A</b>–<b>C</b>).</p>
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<p>Concentrations of hypoxanthine (<b>A</b>), uric acid (<b>B</b>), and the sum of oxypurines (<b>C</b>) detected in culture media of human embryos at 5 days post-fertilization. Embryos were divided into those with successful (n = 17, empty circles) or unsuccessful pregnancy (n = 25, red filled circles), independently on the embryo grade. The mean values are represented by the horizontal bars. Sum oxypurines = hypoxanthine + uric acid. * Significantly different from high grade, q &lt; 0.02 (<b>A</b>), q &lt; 0.01 (<b>B</b>), and q &lt; 0.0005 (<b>C</b>).</p>
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<p>Concentrations of nitrite (<b>A</b>), nitrate (<b>B</b>), and nitrite + nitrate (<b>C</b>), as stable end-products of nitric oxide metabolism, detected in culture media of human embryos at 5 days post-fertilization. Embryos were divided into those with successful (n = 17, empty circles) or unsuccessful pregnancy (n = 25, red filled circles), independently on the embryo grade. The mean values are represented by the horizontal bars. * Significantly different from high grade, q &lt; 0.01 (<b>A</b>), q &lt; 0.05 (<b>B</b>), and q &lt; 0.003 (<b>C</b>).</p>
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<p>Receiver Operating Characteristic (ROC) curves of hypoxanthine (<b>A</b>), uric acid (<b>B</b>), and sum oxypurines (<b>C</b>) determined in the culture media of the two groups of human embryos categorized according to morphological quality using the Gardner scale system. The significance of the Area Under the Curve (AUC) is indicated in each panel. The sum of oxypurines = hypoxanthine + uric acid.</p>
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<p>Receiver Operating Characteristic (ROC) curves of nitrite (<b>A</b>), nitrate (<b>B</b>), and nitrite + nitrate (<b>C</b>) determined in the culture media of the two groups of human embryos categorized according to morphological quality using the Gardner scale system. The significance of the Area Under the Curve (AUC) is indicated in each panel.</p>
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<p>Receiver Operating Characteristic (ROC) curves of the sum of oxypurines (<b>A</b>) and nitrite + nitrate (<b>B</b>) determined in culture media of two groups of human embryos categorized according to morphological quality using the Gardner scale system. The significance of the Area Under the Curve (AUC) is indicated in each panel. The sum of oxypurines = hypoxanthine + uric acid.</p>
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15 pages, 2840 KiB  
Article
Genome Assembly of a Relict Arabian Species of Daphnia O. F. Müller (Crustacea: Cladocera) Adapted to the Desert Life
by Waleed Hamza, Khaled M. Hazzouri, Naganeeswaran Sudalaimuthuasari, Khaled M. A. Amiri, Anna N. Neretina, Shamma E. S. Al Neyadi and Alexey A. Kotov
Int. J. Mol. Sci. 2023, 24(1), 889; https://doi.org/10.3390/ijms24010889 - 3 Jan 2023
Cited by 3 | Viewed by 3218
Abstract
The water flea Daphnia O.F. Müller 1776 (Crustacea: Cladocera) is an important model of recent evolutionary biology. Here, we report a complete genome of Daphnia (Ctenodaphnia) arabica (Crustacea: Cladocera), recently described species endemic to deserts of the United Arab Emirates. In this study, [...] Read more.
The water flea Daphnia O.F. Müller 1776 (Crustacea: Cladocera) is an important model of recent evolutionary biology. Here, we report a complete genome of Daphnia (Ctenodaphnia) arabica (Crustacea: Cladocera), recently described species endemic to deserts of the United Arab Emirates. In this study, genome analysis of D. arabica was carried out to investigate its genomic differences, complexity as well as its historical origins within the subgenus Daphnia (Ctenodaphnia). Hybrid genome assembly of D. arabica resulted in ~116 Mb of the assembled genome, with an N50 of ~1.13 Mb (BUSCO score of 99.2%). From the assembled genome, in total protein coding, 5374 tRNA and 643 rRNA genes were annotated. We found that the D. arabica complete genome differed from those of other Daphnia species deposited in the NCBI database but was close to that of D. cf. similoides. However, its divergence time estimate sets D. arabica in the Mesozoic, and our demographic analysis showed a great reduction in its genetic diversity compared to other Daphnia species. Interestingly, the population expansion in its diversity occurred during the megadrought climate around 100 Ka ago, reflecting the adaptive feature of the species to arid and drought-affected environments. Moreover, the PFAM comparative analysis highlights the presence of the important domain SOSS complex subunit C in D. arabica, which is missing in all other studied species of Daphnia. This complex consists of a few subunits (A, B, C) working together to maintain the genome stability (i.e., promoting the reparation of DNA under stress). We propose that this domain could play a role in maintaining the fitness and survival of this species in the desert environment. The present study will pave the way for future research to identify the genes that were gained or lost in this species and identify which of these were key factors to its adaptation to the harsh desert environment. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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<p>(<b>A</b>) General views of <span class="html-italic">Daphnia arabica:</span> parthenogenetic female and ephippial female and male at copulation. (<b>B</b>) <span class="html-italic">D. arabica</span> whole genome assembly statistics and assembly quality in snail plot view. (<b>C</b>) <span class="html-italic">D. arabica</span> mitogenome map. (<b>D</b>) Mitogenome based phylogenetic tree of <span class="html-italic">D. arabica</span>.</p>
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<p>(<b>A</b>) Repeat landscape annotation in <span class="html-italic">D. arabica</span> genome. (<b>B</b>) <span class="html-italic">D. arabica</span> whole genome characterization with black color of the pie chart reflecting the total genome not occupied with repeats.</p>
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<p>(<b>A</b>) Whole genome shot-gun sequence-based divergence time estimation of <span class="html-italic">D. arabica.</span> (<b>B</b>) Pairwise genome comparison <span class="html-italic">D. arabica</span> vs. <span class="html-italic">D. pulex</span> (<b>left</b>) and <span class="html-italic">D. arabica</span> vs. <span class="html-italic">D. sinensis</span> (<b>right</b>).</p>
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<p>Comparative analysis based on the Daphnia gene families. (<b>A</b>) Venn diagram shows the distribution of PFam gene families between five Daphnia species (<span class="html-italic">D. arabica, D. pulicaria, D. pulex, D. magna and D. galeata).</span> (<b>B</b>) Comparison of SOSS-C in <span class="html-italic">D. arabica, D. pulicaria, D. pulex, D. magna,</span> and <span class="html-italic">D. galeata</span>.</p>
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<p><span class="html-italic">D. arabica</span> effective population size reduction estimation.</p>
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18 pages, 5279 KiB  
Article
Comprehensive Profiling of ceRNA (circRNA-miRNA-mRNA) Networks in Hypothalamic-Pituitary-Mammary Gland Axis of Dairy Cows under Heat Stress
by Hanfang Zeng, Haibin Xia, Xinling Wang, Yue Wang, Jian Fang, Shujie Li, Yunfei Zhai and Zhaoyu Han
Int. J. Mol. Sci. 2023, 24(1), 888; https://doi.org/10.3390/ijms24010888 - 3 Jan 2023
Cited by 10 | Viewed by 2715
Abstract
Heat stress (HS) is directly correlated with mammary gland dysfunction and the hypothalamic-pituitary-mammary gland (HPM) axis is involved in regulating stress responses and lactation in dairy cows. Circular RNAs (circRNAs) play major roles in regulating transcription and post-transcription but their expression in the [...] Read more.
Heat stress (HS) is directly correlated with mammary gland dysfunction and the hypothalamic-pituitary-mammary gland (HPM) axis is involved in regulating stress responses and lactation in dairy cows. Circular RNAs (circRNAs) play major roles in regulating transcription and post-transcription but their expression in the HPM axis of dairy cows under HS is still unclear. In the present study, we performed RNA sequencing to identify diferentially expressed (DE) circRNAs, DE microRNAs(miRNAs) and DEmRNAs, and performed bioinformatics analysis on those in HPM axis-related tissues of heat-stressed and normal cows. A total of 1680, 1112 and 521 DEcircRNAs, 120, 493 and 108 DEmiRNAs, 274, 6475 and 3134 DEmRNAs were identified in the hypothalamic, pituitary, and mammary gland tissues, respectively. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses indicated that the MAPK signaling pathway is potentially a key pathway. Competitive endogenous RNA (ceRNA) networks related to HS response and lactation regulation were established in three tissues. In conclusion, our results indicate that HS induces differential circRNA expression profiles in HPM axis-related tissues, and the predicted ceRNA network provides a molecular basis for regulating the stress response and lactation regulation in heat-stressed dairy cows. Full article
(This article belongs to the Special Issue Advances in circRNA Biology)
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<p>Differences in endocrine hormones, antioxidant enzymes and heat shock proteins between the NHS and HS groups. (<b>A</b>–<b>D</b>) serum endocrine hormones. (<b>E</b>) serum antioxidant enzymes. (<b>F</b>) serum heat shock protein. Data are presented as the mean ± SEM (<span class="html-italic">n</span> = 20 per group); * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Histomorphological observation of HPM-axis related tissues and neurotransmitters in hypothalamus between the NHS and HS groups. (<b>A</b>) Histomorphological observation of HPM-axis related tissues. HY: hypothalamus; PI: pituitary; MA: mammary gland. (<b>B</b>) The percentage of basophils in pituitary. (<b>C</b>–<b>G</b>) Neurotransmitters in hypothalamus. Data are presented as the mean ± SEM (<span class="html-italic">n</span> = 6 per group); *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Identification and characterization of circRNAs. (<b>A</b>) Reads align region statistics. (<b>B</b>) circRNAs length distribution. (<b>C</b>) Annotation type of circRNAs. (<b>D</b>) Sample violin diagram in HPMaxis-related tissues between the NHS and HS groups.</p>
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<p>(<b>A</b>) Volcano plot of DEcircRNAs in hypothalamus. (<b>B</b>) Volcano plot of DEcircRNAs pituitary. (<b>C</b>) Volcano plot of DEcircRNAs mammary gland. Red dots represent up-regulated circRNAs and blue dots represent down-regulated circRNAs. (<b>D</b>) Venn diagram of DEcircRNAs in the HPM axis-related tissues between NHS and HS groups. (<b>E</b>) Comparison of the circRNAs expression levels determined by RNA-seq and RT-qPCR.</p>
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<p>GO functional enrichment and KEGG pathway analysis on the source genes of DEcircRNAs in the hypothalamus (<b>A</b>,<b>B</b>), pituitary (<b>C</b>,<b>D</b>), and mammary gland (<b>E</b>,<b>F</b>) in dairy cows under heat stress.</p>
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<p>(<b>A</b>) Statistics of differential expression of miRNAs. (<b>B</b>) Comparison of the miRNAs expression levels determined by RNA-seq and RT-qPCR. (<b>C</b>–<b>F</b>) KEGG pathway analysis on the target genes of DE miRNAs in the hypothalamus, pituitary and mammary gland in dairy cows under heat stress.</p>
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<p>(<b>A</b>) Statistics of differential expression of mRNAs. (<b>B</b>) Comparison of the mRNAs expression levels determined by RNA-seq and RT-qPCR. (<b>C</b>–<b>F</b>) KEGG pathway analysis on the DE mRNAs in the hypothalamus, pituitary and mammary gland in dairy cows under heat stress.</p>
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<p>ceRNA regulatory networks in HPM axis of dairy cows under heat stress. (<b>A</b>,<b>B</b>) Subnetwork of <span class="html-italic">HSPH1</span> and <span class="html-italic">GHRHR</span> in hypothalamus. (<b>C</b>–<b>F</b>) Subnetwork of <span class="html-italic">IGF1</span>, <span class="html-italic">HSP90AA1</span>, <span class="html-italic">PRL</span>, and <span class="html-italic">GH1</span> in pituitary. (<b>G</b>,<b>H</b>) Subnetwork of <span class="html-italic">HSP90B1</span>, <span class="html-italic">HSPA1A</span>, <span class="html-italic">PRLR</span> and <span class="html-italic">IGF-1</span> in mammary gland.</p>
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15 pages, 1120 KiB  
Review
Oxidative Stress and Immune Response in Melanoma: Ion Channels as Targets of Therapy
by Alessia Remigante, Sara Spinelli, Angela Marino, Michael Pusch, Rossana Morabito and Silvia Dossena
Int. J. Mol. Sci. 2023, 24(1), 887; https://doi.org/10.3390/ijms24010887 - 3 Jan 2023
Cited by 16 | Viewed by 3557
Abstract
Oxidative stress and immune response play an important role in the development of several cancers, including melanoma. Ion channels are aberrantly expressed in tumour cells and regulate neoplastic transformation, malignant progression, and resistance to therapy. Ion channels are localized in the plasma membrane [...] Read more.
Oxidative stress and immune response play an important role in the development of several cancers, including melanoma. Ion channels are aberrantly expressed in tumour cells and regulate neoplastic transformation, malignant progression, and resistance to therapy. Ion channels are localized in the plasma membrane or other cellular membranes and are targets of oxidative stress, which is particularly elevated in melanoma. At the same time, ion channels are crucial for normal and cancer cell physiology and are subject to multiple layers of regulation, and therefore represent promising targets for therapeutic intervention. In this review, we analyzed the effects of oxidative stress on ion channels on a molecular and cellular level and in the context of melanoma progression and immune evasion. The possible role of ion channels as targets of alternative therapeutic strategies in melanoma was discussed. Full article
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<p>Major reactive species sources in melanocytes. The increase of reactive oxygen species (H<sub>2</sub>O<sub>2</sub>, O<sub>2</sub><sup>−•</sup>) and/or reactive nitrogenous species (NO and ONOO<sup>−</sup>) induces severe damages to major biomolecules, resulting in DNA and protein oxidation, as well as lipoperoxidation, that compromise cellular structure and function. Consequently, these alterations can induce inflammation and can initiate tumorigenesis processes (e.g., cell proliferation and adaptive immune resistance). To maintain acceptable levels of reactive species, melanocytes cells usually increase their antioxidant systems to protect cells from oxidative stress damage and restore physiological redox balance. The redox balance in the cell is normally regulated by a complex antioxidant system. Endogenous antioxidants include catalase (CAT), superoxide dismutase (SOD), glutathione peroxidases (GPXs) and glutathione (GSH). In particular, GSH metabolism protects melanocytes from the toxic effects of H<sub>2</sub>O<sub>2</sub> formed during melanin synthesis. GSH metabolism, therefore, appears to be critically important to the maintenance of melanocyte cell viability [<a href="#B62-ijms-24-00887" class="html-bibr">62</a>]. Instead, natural antioxidant compounds can be obtained from the diet, e.g., beta-carotene (vitamin A), alpha-ascorbic acid (vitamin C), tocopherol (vitamin E) [<a href="#B44-ijms-24-00887" class="html-bibr">44</a>]. The figure was created using BioRender.com.</p>
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<p>Major hypoxia and cellular oxidative stress-dependent mechanisms involving ion channels in melanoma. Events directly linked to oxidative stress are represented in red: (1) the ER-residing STIM2 protein gates ORAI Ca<sup>2+</sup> channels at the plasma membrane. This mechanism acts as a regulator in cancer-associated processes, such as cell migration. Oxidative stress-induced C313 sulfonylation hinders STIM2 oligomerization, thus causing inhibition of SOCE; (2) increased oxidative stress leads to up-regulation of TRP channels (e.g., TRPM2 and TRPA1) and induces an increase of intracellular Ca<sup>2+</sup> levels, thus promoting cancer progression; (3) oxidative stress-induced increase of intracellular Ca<sup>2+</sup>content is accompanied by K<sup>+</sup> efflux via BK channels, which preserves the ion balance and helps to maintain the Ca<sup>2+</sup> entry, thus promoting cancer cell migration. Moreover, this oxidation condition stimulates the activation of the medium-conductance voltage-independent KCa3.1, a target implicated in the promotion of cell migration; (4) during oxidative stress, TASK-3 channel down-regulation impedes the mitochondrial activity of cancer cells. In addition, TASK-3 knockdown in melanoma cells leads to reduced viability and increased apoptosis; and (5) hypoxic melanoma cells activate a mechanism of immune evasion through the miR-192-5p efflux by connexin 43 channel (Cx43). The figure was created using BioRender.com.</p>
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4 pages, 186 KiB  
Editorial
Research of Mitochondrial Function, Structure, Dynamics and Intracellular Organization
by Andrey V. Kuznetsov and Michael J. Ausserlechner
Int. J. Mol. Sci. 2023, 24(1), 886; https://doi.org/10.3390/ijms24010886 - 3 Jan 2023
Cited by 2 | Viewed by 2618
Abstract
Mitochondria have been recognized as the energy (in the form of ATP)-producing cell organelles, required for cell viability, survival and normal cell function [...] Full article
17 pages, 1022 KiB  
Review
Diagnostic and Prognostic Role of Extracellular Vesicles in Pancreatic Cancer: Current Evidence and Future Perspectives
by Alberto Nicoletti, Marcantonio Negri, Mattia Paratore, Federica Vitale, Maria Elena Ainora, Enrico Celestino Nista, Antonio Gasbarrini, Maria Assunta Zocco and Lorenzo Zileri Dal Verme
Int. J. Mol. Sci. 2023, 24(1), 885; https://doi.org/10.3390/ijms24010885 - 3 Jan 2023
Cited by 10 | Viewed by 4069
Abstract
Pancreatic cancer is one of the most aggressive tumors, with a dismal prognosis due to poor detection rates at early stages, rapid progression, post-surgical complications, and limited effectiveness of conventional oncologic therapies. There are no consistently reliable biomarkers or imaging modalities to accurately [...] Read more.
Pancreatic cancer is one of the most aggressive tumors, with a dismal prognosis due to poor detection rates at early stages, rapid progression, post-surgical complications, and limited effectiveness of conventional oncologic therapies. There are no consistently reliable biomarkers or imaging modalities to accurately diagnose, classify, and predict the biological behavior of this tumor. Therefore, it is imperative to develop new and improved strategies to detect pancreatic lesions in the early stages of cancerization with greater sensitivity and specificity. Extracellular vesicles, including exosome and microvesicles, are membrane-coated cellular products that are released in the outer environment. All cells produce extracellular vesicles; however, this process is enhanced by inflammation and tumorigenesis. Based on accumulating evidence, extracellular vesicles play a crucial role in pancreatic cancer progression and chemoresistance. Moreover, they may represent potential biomarkers and promising therapy targets. The aim of the present review is to review the current evidence on the role of extracellular vesicles in pancreatic cancer. Full article
(This article belongs to the Collection Feature Papers in Molecular Immunology)
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<p>Biogenesis, structure, and cell interaction of extracellular vesicles. Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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<p>Roles of cancer-derived extracellular vesicles in pancreatic carcinogenesis, progression, and chemoresistance. Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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14 pages, 444 KiB  
Review
Microglial Activation and Priming in Alzheimer’s Disease: State of the Art and Future Perspectives
by Giulia Bivona, Matilda Iemmolo, Luisa Agnello, Bruna Lo Sasso, Caterina Maria Gambino, Rosaria Vincenza Giglio, Concetta Scazzone, Giulio Ghersi and Marcello Ciaccio
Int. J. Mol. Sci. 2023, 24(1), 884; https://doi.org/10.3390/ijms24010884 - 3 Jan 2023
Cited by 23 | Viewed by 4769
Abstract
Alzheimer’s Disease (AD) is the most common cause of dementia, having a remarkable social and healthcare burden worldwide. Amyloid β (Aβ) and protein Tau aggregates are disease hallmarks and key players in AD pathogenesis. However, it has been hypothesized that microglia can contribute [...] Read more.
Alzheimer’s Disease (AD) is the most common cause of dementia, having a remarkable social and healthcare burden worldwide. Amyloid β (Aβ) and protein Tau aggregates are disease hallmarks and key players in AD pathogenesis. However, it has been hypothesized that microglia can contribute to AD pathophysiology, as well. Microglia are CNS-resident immune cells belonging to the myeloid lineage of the innate arm of immunity. Under physiological conditions, microglia are in constant motion in order to carry on their housekeeping function, and they maintain an anti-inflammatory, quiescent state, with low expression of cytokines and no phagocytic activity. Upon various stimuli (debris, ATP, misfolded proteins, aggregates and pathogens), microglia acquire a phagocytic function and overexpress cytokine gene modules. This process is generally regarded as microglia activation and implies that the production of pro-inflammatory cytokines is counterbalanced by the synthesis and the release of anti-inflammatory molecules. This mechanism avoids excessive inflammatory response and inappropriate microglial activation, which causes tissue damage and brain homeostasis impairment. Once the pathogenic stimulus has been cleared, activated microglia return to the naïve, anti-inflammatory state. Upon repeated stimuli (as in the case of Aβ deposition in the early stage of AD), activated microglia shift toward a less protective, neurotoxic phenotype, known as “primed” microglia. The main characteristic of primed microglia is their lower capability to turn back toward the naïve, anti-inflammatory state, which makes these cells prone to chronic activation and favours chronic inflammation in the brain. Primed microglia have impaired defence capacity against injury and detrimental effects on the brain microenvironment. Additionally, priming has been associated with AD onset and progression and can represent a promising target for AD treatment strategies. Many factors (genetics, environmental factors, baseline inflammatory status of microglia, ageing) generate an aberrantly activated phenotype that undergoes priming easier and earlier than normally activated microglia do. Novel, promising targets for therapeutic strategies for AD have been sought in the field of microglia activation and, importantly, among those factors influencing the baseline status of these cells. The CX3CL1 pathway could be a valuable target treatment approach in AD, although preliminary findings from the studies in this field are controversial. The current review aims to summarize state of the art on the role of microglia dysfunction in AD pathogenesis and proposes biochemical pathways with possible targets for AD treatment. Full article
(This article belongs to the Collection Feature Papers in Molecular Neurobiology)
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<p>Microglia response upon stimuli should be effective and transient in order to face injury and avoid tissue damage deriving from excessive response. Once a stimulus activates microglia, they develop a protective, balanced response against injury, and then come back to the naïve state after the stimulus is eliminated. Upon repeated stimuli, microglia are primed via a toll-like receptor 4 (TLR-4)-mediated mechanism to enhance reactivity toward hit and pathogens. Both the efficacy and persistency of reactive microglia are influenced by the naïve, or baseline, steady-state status of these cells, which, in turn, is determined by a complexity of factors including genetics, ageing and neuron-to-glia communication. The latter maintains microglia in a quiescent, steady-state status, characterized by anti-inflammatory and neuroprotective behaviour. CX3CL1 is a critical modulator of neuron-to-glia interplay. Dysfunctional CX3CL1 signalling turns microglia toward a pro-inflammatory phenotype, resulting in an altered naive microglial status that tends to shift toward primed phenotypes earlier and easier than normal. Primed microglia emerge upon repeated stimuli and consist in microglia shifting towards less protective and more aggressive phenotypes, lacing the capacity to resolve inflammation and carrying out exclusively pro-inflammatory, detrimental effects. Primed microglia expose AD onset and progression and represent a promising target for a novel therapeutic approach in this disease.</p>
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28 pages, 4383 KiB  
Article
The Prolonged Treatment of Salmonella enterica Strains with Human Serum Effects in Phenotype Related to Virulence
by Bożena Futoma-Kołoch, Michał Małaszczuk, Kamila Korzekwa, Małgorzata Steczkiewicz, Andrzej Gamian and Gabriela Bugla-Płoskońska
Int. J. Mol. Sci. 2023, 24(1), 883; https://doi.org/10.3390/ijms24010883 - 3 Jan 2023
Viewed by 5301
Abstract
Salmonella enterica as common pathogens of humans and animals are good model organisms to conduct research on bacterial biology. Because these bacteria can multiply in both the external environments and in the living hosts, they prove their wide adaptability. It has been previously [...] Read more.
Salmonella enterica as common pathogens of humans and animals are good model organisms to conduct research on bacterial biology. Because these bacteria can multiply in both the external environments and in the living hosts, they prove their wide adaptability. It has been previously demonstrated that prolonged exposition of Salmonella serotype O48 cells to normal human serum led to an increase in resistance to sera in connection with the synthesis of very long O-antigen. In this work, we have studied the phenotype connected to virulence of Salmonella enterica strains that were subjected to consecutive passages in 50% human serum from platelet-poor plasma (SPPP). We found that eight passages in SPPP may not be enough for the bacteria to become serum-resistant (S. Typhimurium ATCC 14028, S. Senftenberg). Moreover, C1q and C3c complement components bound to Salmonellae (S. Typhimurium ATCC 14028, S. Hammonia) membrane proteins, which composition has been changed after passaging in sera. Interestingly, passages in SPPP generated genetic changes within gene fljB, which translated to cells’ motility (S. Typhimurium ATCC 14028, S. Erlangen). One strain, S. Hammonia exposed to a serum developed a multi-drug resistance (MDR) phenotype and two S. Isaszeg and S. Erlangen tolerance to disinfectants containing quaternary ammonium salts (QAS). Furthermore, colonial morphotypes of the serum adaptants were similar to those produced by starter cultures. These observations suggest that overcoming stressful conditions is manifested on many levels. Despite great phenotypic diversity occurring after prolonged exposition to SPPP, morphotypes of colonies remained unchanged in basic media. This work is an example in which stable morphotypes distinguished by altered virulence can be confusing during laboratory work with life-threatening strains. Full article
(This article belongs to the Collection State-of-the-Art Molecular Microbiology in Poland)
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<p>Survival of <span class="html-italic">Salmonella enterica</span> strains during eight passages in 50% human serum from platelet-poor plasma (SPPP). Black/bottom line–survival of <span class="html-italic">Salmonella enterica</span> in 50% SPPP counted as log<sub>10</sub> of colony forming units per ml (CFU/mL<sup>−1</sup>) connected with dashed trendline formula; blue/upper line (control)–survival of bacteria in heat-inactivated (56 °C, 30 min) sera (HISPPP); SS–serum sensitive; SR–serum resistant; (<b>A</b>)—<span class="html-italic">S</span>. Isaszeg P8 (SR); (<b>B</b>)—<span class="html-italic">S</span>. Erlangen P8 (SR); (<b>C</b>)—<span class="html-italic">S</span>. Hammonia P8 (SR); (<b>D</b>)—<span class="html-italic">S</span>. Enteritidis ATCC 13076 P8 (SR); (<b>E</b>)—<span class="html-italic">S</span>. Typhimurium ATCC 14028 P8 (SS); (<b>F</b>)—<span class="html-italic">S</span>. Senftenberg P8 (SS).</p>
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<p>Analysis of complement C1q (<b>A</b>) and C3c (<b>B</b>) deposition on <span class="html-italic">S</span>. <span class="html-italic">enterica</span> cells. Cells of the WT serum-sensitive (SS) strains and the serum-resistant (SR, P8) were incubated in 50% SPPP for 12 min at 37 °C. C1q and C3c components deposited on cells were identified by indirect ELISA with appropriate antibodies as described in the methods. Data are presented as the means of standard deviations of triplicate determinations from three independent experiments, after subtraction of negative control (A<sub>490</sub> 0.125); * indicates a statistically significant difference in values (<span class="html-italic">p</span> &lt; 0.05) with respect to the data obtained for WT strains.</p>
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<p>SDS-PAGE analysis of the membrane protein (MP) profiles (12 μg/10 μL per well) of the studied <span class="html-italic">Salmonella enterica</span> isolates. Definitions of abbreviations: M—protein marker (AppliChem, Darmstadt, Germany), Line 1—<span class="html-italic">S</span>. Isaszeg, Line 2—<span class="html-italic">S</span>. Erlangen, Line 3—<span class="html-italic">S</span>. Hammonia, Line 4—<span class="html-italic">S</span>. Typhimurium ATCC 14028, Line 5—<span class="html-italic">S</span>. Enteritidis ATCC 13076, Line 6—<span class="html-italic">S</span>. Senftenberg; (<b>A</b>) WT (serum sensitive, SS) <span class="html-italic">Salmonella</span> strains, (<b>B</b>) <span class="html-italic">Salmonella</span> strains passaged eight times in 50% SPPP (P8); SR—serum resistant. The bottom half of <a href="#ijms-24-00883-f003" class="html-fig">Figure 3</a> represents densitograms obtained with Image Lab. V. 4.1 (Bio-Rad, Hercules, CA, USA).</p>
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<p>Dot blot C1q and C3c-binding assays performed for membrane proteins (MPs) isolated from serum-resistant (SR) and serum-sensitive (SS) strains. 1—MPs of SS <span class="html-italic">S</span>. Hammonia, 2—MPs of SR <span class="html-italic">S</span>. Hammonia P8, 3—MPs of SS <span class="html-italic">S</span>. Typhimurium ATCC 14028, 4—MPs of SS <span class="html-italic">S</span>. Typhimurium ATCC 14028 P8. MPs in concentrations of (<b>A</b>) (25 × diluted in H<sub>2</sub>O<sub>miliQ</sub>, 0.24 mg/mL<sup>−1</sup>) and (<b>B</b>) (50 × diluted in H<sub>2</sub>O<sub>miliQ,</sub> 0.12 mg/mL<sup>−1</sup>) were loaded onto nitrocellulose membrane. K1—positive control 1; K2—positive control 2; K3—negative control 1, instead of MPs PBS was used; K4, negative control 2—instead of SPPP PBS was used.</p>
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<p><span class="html-italic">FljB</span> profiles for <span class="html-italic">Salmonella enterica</span>. Definitions of abbreviations: WT—wild-type serum-sensitive (SS) strain, P8—strain passaged in 50% SPPP.</p>
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<p>Morphology of bacterial colonies produced by serum-sensitive (SS) and serum-resistant (SR) strains. (<b>A</b>) <span class="html-italic">Salmonella</span> strains not passaged in SPPP, (<b>B</b>) <span class="html-italic">Salmonella</span> strains passaged eight times in 50% SPPP; 1—<span class="html-italic">S</span>. Erlangen, <span class="html-italic">2</span>—<span class="html-italic">S</span>. Hammonia, <span class="html-italic">3</span>—<span class="html-italic">S</span>. Typhimurium ATCC 14028.</p>
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<p>Swarming motility assay. Definitions of abbreviations: (<b>A</b>)—<span class="html-italic">Salmonella</span> strains not passaged in SPPP, (<b>B</b>)—<span class="html-italic">Salmonella</span> strains passaged eight times in 50% SPPP; 1—<span class="html-italic">S</span>. Erlangen, 2—<span class="html-italic">S</span>. Hammonia, 3—<span class="html-italic">S</span>. Isaszeg, 4—<span class="html-italic">S</span>. Senftenberg, 5—<span class="html-italic">S</span>. Enteritidis ATCC 13076, 6—<span class="html-italic">S</span>. Typhimurium ATCC 14028.</p>
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<p>Swimming motility assay. Definitions of abbreviations: (<b>A</b>)—the average (n = 3) diameter of bacterial cultures (WT and P8) grown on 0.3% soft agar supplemented with TTC at 28 °C and 37 °C. (<b>B</b>)—differences between inoculum growth of pairs <span class="html-italic">S</span>. Erlangen (SS)/<span class="html-italic">S</span>. Erlangen P8 (SR) and <span class="html-italic">S</span>. Typhimurium ATCC 14028 (SS)/<span class="html-italic">S</span>. Typhimurium ATCC 14028 P8 (SS); WT—wild-type strain (SS), P8—strain passaged eight times in 50% SPPP; * indicates a statistically significant difference in values (<span class="html-italic">p</span> &lt; 0.05) with respect to the WT strains, SS—serum sensitive, SR—serum resistant.</p>
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<p>Chronological system of own research conducted on <span class="html-italic">Salmonella</span> strains involving steps taken in this work.</p>
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15 pages, 3161 KiB  
Article
PLA2G7/PAF-AH as Potential Negative Regulator of the Wnt Signaling Pathway Mediates Protective Effects in BRCA1 Mutant Breast Cancer
by Yue Liao, Susann Badmann, Fabian Kraus, Nicole Elisabeth Topalov, Doris Mayr, Thomas Kolben, Anna Hester, Susanne Beyer, Sven Mahner, Udo Jeschke, Fabian Trillsch, Bastian Czogalla and Alexander Burges
Int. J. Mol. Sci. 2023, 24(1), 882; https://doi.org/10.3390/ijms24010882 - 3 Jan 2023
Cited by 3 | Viewed by 2871
Abstract
Past studies have confirmed that aberrant activation of the Wnt/β-catenin signaling is associated with tumorigenesis and metastasis in breast cancer, while the role of platelet-activating factor acetylhydrolase (PLA2G7/PAF-AH) in this signaling pathway remains unclear. In this study, we analyze the functional impact of [...] Read more.
Past studies have confirmed that aberrant activation of the Wnt/β-catenin signaling is associated with tumorigenesis and metastasis in breast cancer, while the role of platelet-activating factor acetylhydrolase (PLA2G7/PAF-AH) in this signaling pathway remains unclear. In this study, we analyze the functional impact of PAF-AH on BRCA1 mutant breast cancer and explore its relationship to the Wnt signaling pathway. By performing immunohistochemistry, PAF-AH expression and β-catenin expression were examined in both BRCA1 WT and BRCA1 mutant breast cancer specimens. The BRCA1 mutant breast cancer cell line HCC1937 was used for in vitro experiments to assess the impact of PAF-AH on cellular functions. The intracellular distribution of β-catenin depending on PLA2G7/PAF-AH expression was investigated by immunocytochemistry. Significantly higher nuclear expression levels of PAF-AH were found in BRCA1 mutant tissue specimens than in BRCA1 WT samples. Cell viability, proliferation, and the motility rate of HCC1937 were significantly enhanced after PLA2G7 silencing, which indicated a protective role of PAF-AH in breast cancer. Nuclear PAF-AH expressed correlatedly with membranous β-catenin. PLA2G7 silencing provoked the β-catenin translocation from the membrane to the nucleus and activated Wnt signaling downstream genes. Our data showed a protective effect of high PAF-AH expression in BRCA1 mutant breast cancer. PAF-AH may achieve its protective effect by negatively regulating the Wnt pathway. In conclusion, our research sheds new light on the regulatory pathways in BRCA1 mutant breast cancer. Full article
(This article belongs to the Special Issue Breast Cancer Mechanistic Insights and Targeted Therapies)
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<p>BRCA1 mutation carriers show stronger nuclear PAF-AH and membranous β-catenin staining intensity. Compared to BRCA1 WT, cases with BRCA1 mutation (n = 22; median IRScore = 3) expressed significantly more nuclear PAF-AH, the outliers in BRCA1-WT were indicated with small circle and asterisk (<span class="html-italic">p</span> &lt; 0.001) (<b>A</b>). Among all cases with membranous β-catenin expression, BRCA1 mutation carriers (n = 14; median IRScore = 12) showed higher membranous expression than those without BRCA1 mutation (n = 19; median IRScore = 4) (<span class="html-italic">p</span> &lt; 0.001) (<b>B</b>).</p>
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<p>Only the BRCA1 negative BC cell line HCC1937 shows a relevant expression of PLA2G7/PAF-AH. Basal mRNA (qPCR; (<b>A</b>)) and protein (Western blot analysis; (<b>B</b>)) expression of PLA2G7/PAF-AH in five BC cell lines were compared to the expression in the benign breast cell line MCF10A. Significant results are indicated by asterisks (*: <span class="html-italic">p</span> ≤ 0.05, **: <span class="html-italic">p</span> ≤ 0.01), and non-significant results by diamonds (#: <span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Successful downregulation of PLA2G7/PAF-AH by siRNA knockdown. The efficiency of siRNA knockdown was investigated by qPCR (<b>A</b>) and western blot analysis (<b>B</b>). The best knockdown of PLA2G7 was achieved after an incubation time of 60 h (<span class="html-italic">p</span> &lt; 0.01; <b>A</b>). Concordant to the result on RNA level, western blot analysis showed a decrease in protein expression (<span class="html-italic">p</span> &lt; 0.05), confirming a successful downregulation (<b>B</b>).</p>
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<p>PLA2G7/PAF-AH downregulation causes cancer progression by an activation of cell viability, proliferation, and migration. In MTT assays, the viability of PLA2G7 silenced HCC1937 significantly increased (<span class="html-italic">p</span> &lt; 0.01) (<b>A</b>). BrdU results (<b>B</b>) showed an increased proliferation capacity (<span class="html-italic">p</span> &lt; 0.01), and wound healing assays indicated an augmented migration ability of PLA2G7 downregulated HCC1937 cells (<span class="html-italic">p</span> &lt; 0.05) (<b>C</b>,<b>D</b>). All assays were conducted 60 h after transfection with siRNA-PLA2G7 and scaled to a control treated with scrambled siRNA. Significant results are indicated by asterisks (*: <span class="html-italic">p</span> ≤ 0.05) and double asterisks (**: <span class="html-italic">p</span> ≤ 0.001).</p>
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<p>Activation of the Wnt signaling pathway by PLA2G7 silencing. After 60 h transfection with siRNA-PLA2G7, the expression of PAF-AH was significantly suppressed (<b>A</b>), while the expression of β-catenin shifted from the membrane to the nucleus, activating Wnt downstream genes (<b>B</b>). In addition, HCC1937 cells show a higher mitotic activity after gene knockdown.</p>
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<p>PAF-PAFR affects the Wnt/β-catenin signaling pathway by phosphorylation. The active state of Wnt/β-catenin signaling is shown on the left. The inactive state of Wnt/β-catenin signaling and degradation of β-catenin is shown on the right. PAF–PAFR signaling and cell functions changed after activation by phosphorylation (middle).</p>
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19 pages, 4398 KiB  
Article
iPSC-Derived MSCs Are a Distinct Entity of MSCs with Higher Therapeutic Potential than Their Donor-Matched Parental MSCs
by Hae-Ri Lee, Soo Kim, Sungho Shin, Seon-Yeong Jeong, Dae-Won Lee, Sun-Ung Lim, Ji Yeon Kang, Mi-Young Son, Cheolju Lee, Kyung-Rok Yu, Myungshin Kim and Il-Hoan Oh
Int. J. Mol. Sci. 2023, 24(1), 881; https://doi.org/10.3390/ijms24010881 - 3 Jan 2023
Cited by 9 | Viewed by 4152
Abstract
Mesenchymal stromal cells derived from induced pluripotent stem cells (iMSCs) have been proposed as alternative sources of primary MSCs with various advantages for cell therapeutic trials. However, precise evaluation of the differences between iMSCs and primary MSCs is lacking due to individual variations [...] Read more.
Mesenchymal stromal cells derived from induced pluripotent stem cells (iMSCs) have been proposed as alternative sources of primary MSCs with various advantages for cell therapeutic trials. However, precise evaluation of the differences between iMSCs and primary MSCs is lacking due to individual variations in the donor cells, which obscure direct comparisons between the two. In this study, we generated donor-matched iMSCs from individual bone marrow-derived MSCs and directly compared their cell-autonomous and paracrine therapeutic effects. We found that the transition from primary MSCs to iMSCs is accompanied by a functional shift towards higher proliferative activity, with variations in differentiation potential in a donor cell-dependent manner. The transition from MSCs to iMSCs was associated with common changes in transcriptomic and proteomic profiles beyond the variations of their individual donors, revealing expression patterns unique for the iMSCs. These iMSC-specific patterns were characterized by a shift in cell fate towards a pericyte-like state and enhanced secretion of paracrine cytokine/growth factors. Accordingly, iMSCs exhibited higher support for the self-renewing expansion of primitive hematopoietic progenitors and more potent immune suppression of allogenic immune responses than MSCs. Our study suggests that iMSCs represent a separate entity of MSCs with unique therapeutic potential distinct from their parental MSCs, but points to the need for iMSC characterization in the individual basis. Full article
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<p>Reprogramming of bone marrow MSCs into induced pluripotent stem cells (iPSCs) and generation of iMSCs from same donor-origin iPSCs. (<b>A</b>) Characterization of iPSCs established from primary MSCs. Microscopic examination for morphology in bright field (BF) and expression of indicated pluripotency markers by immunofluorescence analysis. Representative images are shown. (<b>B</b>) Immunofluorescence analysis of tri-lineage differentiation potential of iPSCs using endodermal markers (SOX17, FOXA2), mesodermal markers (α-SMA and DESMIN) and ectodermal markers (NESTIN, TUJ1). Nuclei were stained with DAPI. (<b>C</b>) Karyotyping of established iPSCs by G-banding analysis confirming normal human karyotypes. (<b>D</b>) Schematic diagram of the process for induction of MSCs from iPSC. (<b>E</b>) Flow cytometry analysis of MSC markers CD34<sup>−</sup>/CD45<sup>−</sup>, CD73<sup>+</sup>, CD90<sup>+</sup>, CD105<sup>+</sup> in MSCs and donor-matched iMSCs. The number represents each individual donor.</p>
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<p>Comparison of proliferation potential between iMSCs and donor-matched primary MSCs. (<b>A</b>) Cumulative cell number assay of 3 lines of iMSC and donor-matched primary MSCs. Numbers represent individual donor cell origin. p = passage number. (<b>B</b>) Relative telomere length of individual iMSCs in comparison to donor-matched MSCs expressed as a T/S ratio (telomere/single copy) measured by real time PCR.</p>
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<p>Colonogenic and differentiation potential of iMSCs in comparison with donor-matched MSCs. (<b>A</b>) Each individual iMSC line and their parental donor-matched MSCs were subjected to colony formation (CFU-F) assays and stained with crystal violet. Representative images for CFU-F assays (left panel) and their quantification (right) are shown (n = 3, mean ± SEM, *; <span class="html-italic">p</span> &lt; 0.05). (<b>B</b>) Osteogenic differentiation of MSCs and iMSCs analyzed by Alizarin Red S staining for calcium deposition. Representative images for osteogenic differentiation (left) and quantification as determined by the absorbance at 405nm (right) are shown (n = 3, mean ± SEM, *; <span class="html-italic">p</span> &lt; 0.05). (<b>C</b>) Adipogenic differentiation of MSCs and iMSCs analyzed by Oil- Red O staining for lipid droplets. Representative images for adipogenic differentiation (left) and the quantification by absorbance at 520nm (right) (n = 3, mean ± SEM, *; <span class="html-italic">p</span> &lt; 0.05) are shown.</p>
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<p>Transcriptomic changes in the transition from primary MSCs to donor-matched iMSCs. (<b>A</b>) PCA plot of gene expression data obtained from RNA-seq data for iMSCs (blue dots) and primary MSCs (red dots). (<b>B</b>) Heat map of RNA-seq transcriptome analysis for the top 300 most variable genes from iMSCs and donor-matched primary MSCs. (<b>C</b>) Volcano plot displaying the log<sub>2</sub> fold changes (x axis) against the t test-derived −log<sub>10</sub> FDR (false discovery rate) (y axis) for whole transcriptome differentially expressed between iMSCs and primary MSCs. (<b>D</b>) Gene ontology (GO) analysis for differentially expressed genes between iMSCs and MSCs. The top 10 most significant list is shown.</p>
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<p>Molecular characterization of iMSCs in comparison with primary MSCs. (<b>A</b>) iMSCs and donor-matched primary MSCs were compared for expression of genes involved in the cell fate control of MSCs including genes for EMT, pluripotency and pericyte markers. Shown are normalized expression levels of transcripts in each iMSCs relative to the levels in their donor-matched primary MSCs, analyzed by quantitative RT-PCR (n = 3, mean ± SEM, *; <span class="html-italic">p</span> &lt; 0.05). (<b>B</b>) Expression levels of human CD146 in iMSCs and their donor-matched primary MSCs. Shown are the representative flow cytometry profiles (left) and quantification of expression levels by mean fluorescent intensity (MFI) (right) (n = 3 for each group, mean ± SEM, *; <span class="html-italic">p</span> &lt; 0.05). (<b>C</b>) Comparisons for expression levels of human NESTIN between individual iMSCs and their donor-matched parental iMSCs. The expression levels were measured by Western blot. Representative profile (upper) and quantification by image analysis (Image J) (lower) are shown.</p>
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<p>Comparison of secretomes between iMSCs and donor-matched MSCs. (<b>A</b>) Cytokine/growth factors in secretomes analyzed by cytokine array. The serum-free supernatant from individual iMSCs and their donor-matched MSCs were harvested and subjected to analysis of cytokine/growth factors using cytokine array blots. Shown are the relative levels of each indicated cytokine/growth factor in the supernatants from iMSCs relative to the levels from their parental MSCs. (<b>B</b>) The secretome from each group of MSCs were analyzed by LC-MS/MS. From each secretome, proteins found in at least two independent iMSC or MSC lines were selected and the top 100 secreted proteins of these secretome were identified and compared between the iMSCs and MSCs. (<b>C</b>) Gene ontology of secreted proteins up-regulated in iMSCs in comparison to donor-matched MSCs. Shown are the gene clusters of up-regulated proteins in supernatants of iMSCs compared to primary MSCs (<span class="html-italic">p</span>-value &lt; 0.05).</p>
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<p>Comparison of HSC supporting activity between iMSCs and donor-matched primary MSCs. (<b>A</b>) Schematic illustration of experimental scheme. MSCs from each group were co-cultured with CD34<sup>+</sup> cells for 4 days and expansion of each indicated subsets of hematopoietic progenitors were analyzed by colony assays or flow cytometry. (<b>B</b>) % of CD34<sup>+</sup> cells in each co-culture condition. (<b>C</b>) % of CD34<sup>+</sup>90<sup>+</sup> cells and (<b>D</b>) number of CD34<sup>+</sup>90<sup>+</sup> cells after co-culture with the iMSCs and donor-matched primary MSCs (n = 6/group, mean ± SEM, *; <span class="html-italic">p</span> &lt; 0.05). (<b>E</b>) Effect of co-culture on colony forming cells (CFC). Shown are the mean numbers ± SEM of CFCs and their lineages from 300 input CD34<sup>+</sup> cells after 4 days co-culture with each MSC group (n = 6/group, mean ± SEM, *; <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Suppression of the allogenic immune reaction by iMSCs in comparison to donor-matched primary MSCs. (<b>A</b>) Representative flow cytometry profiles for analysis of allogenic immune responses by T-cells. Mononuclear cells (MNCs) from umbilical cord blood were stained with CFSE and stimulated with anti-CD3/CD28 microbeads and IL-2 for 6 days in the presence or absence of MSCs or iMSCs. Shown are representative flow cytometry profiles for gating T-cells and their changes in CFSE intensity. (<b>B</b>) Quantitative measurement of immune suppressive function of MSCs and iMSCs. The suppression of T-cell proliferation by each type of MSCs was analyzed by the decrease in mean CFSE fluorescence intensity in CD3<sup>+</sup> or CD3<sup>+</sup>CD4<sup>+</sup> and CD3<sup>+</sup>CD8<sup>+</sup> cells. Shown are the mean fluorescence intensity of CFSE in T-cells of each group relative to the intensity in the unstimulated group (one-way ANOVA followed by Tukey’s test, *; <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">n</span> = 3).</p>
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20 pages, 5725 KiB  
Article
Alginate Beads Containing Cerium-Doped Mesoporous Glass and Curcumin: Delivery and Stabilization of Therapeutics
by Debora Carrozza, Gianluca Malavasi, Erika Ferrari and Maria Cristina Menziani
Int. J. Mol. Sci. 2023, 24(1), 880; https://doi.org/10.3390/ijms24010880 - 3 Jan 2023
Cited by 2 | Viewed by 1940
Abstract
Cancer is a leading cause of death worldwide, its genesis and progression are caused by homeostatic errors, and reactive oxygen species play a major role in promoting aberrant cancer homeostasis. In this scenario, curcumin could be an interesting candidate due to its versatile [...] Read more.
Cancer is a leading cause of death worldwide, its genesis and progression are caused by homeostatic errors, and reactive oxygen species play a major role in promoting aberrant cancer homeostasis. In this scenario, curcumin could be an interesting candidate due to its versatile antioxidant, anti-inflammatory, anti-tumor, anti-HIV, and anti-infection properties. Nonetheless, the major problem related to its use is its poor oral bioavailability, which can be overcome by encapsulating it into small particles, such as hydrogel beads containing mesoporous silica. In this work, various systems have been synthesized: starting from mesoporous silica glasses (MGs), cerium-containing MGs have been produced; then, these systems have been loaded with 4 to 6% of curcumin. Finally, various MGs at different compositions have been included in alginate beads. In vitro studies showed that these hybrid materials enable the stabilization and effective delivery of curcumin and that a synergic effect can be achieved if Ce3+/Ce4+ and curcumin are both part of the beads. From swelling tests, it is possible to confirm a controlled curcumin release compartmentalized into the gastrointestinal tract. For all beads obtained, a curcumin release sufficient to achieve the antioxidant threshold has been reached, and a synergic effect of cerium and curcumin is observed. Moreover, from catalase mimetic activity tests, we confirm the well-known catalytic activity of the couple Ce3+/Ce4+. In addition, an extremely good radical scavenging effect of curcumin has been demonstrated. In conclusion, these systems, able to promote an enzymatic-like activity, can be used as drug delivery systems for curcumin-targeted dosing. Full article
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<p>Bead images obtained with scanning electron microscope (SEM). In order: (<b>a</b>) B-MG; (<b>b</b>) B-MG_5.0Ce; (<b>c</b>) B-MG_curc5; and (<b>d</b>) B-MG_5.0Ce_curc5.</p>
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<p>Beads images obtained with optic microscope. In order: (<b>a</b>) B; (<b>b</b>) B-MG; (<b>c</b>) B-MG_5.0Ce; (<b>d</b>) B-MG_curc5; and (<b>e</b>) B-MG_5.0Ce_curc5. The numbers identify different beads of the same sample.</p>
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<p>FTIR−ATR spectra of beads, pure alginate, and curcumin. Characteristic peaks of alginate and curcumin are highlighted by dashed lines and asterisks, respectively.</p>
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<p>Rate of rehydration (%W) as a function of time in different media.</p>
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<p>Curcumin release kinetics from P-MGs; (<b>a</b>) graph of the curcumin fraction released in the first 24 h compared with the amount contained in 50 mg; (<b>b</b>) linearization according to Peppas’ model (n = 1); and (<b>c</b>) linearization according to Higuchi’s model.</p>
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<p>Curcumin release kinetics from B-MGs in SBF; (<b>a</b>) curcumin fraction released in the first 24 h for the two samples B-MG_curc5 and B-MG_5.0Ce_curc5; (<b>b</b>) linearization according to Peppas’ model (n = 1); and (<b>c</b>) linearization according to Higuchi’s model (n = 0.5).</p>
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<p>Curcumin release kinetics from B-MGs in SGF; (<b>a</b>) curcumin fraction released in the first 24 h for the samples B-MG_curc5 and B-MG_5.0Ce_curc5, and B-curc; (<b>b</b>) linearization according to Peppas’ model (n = 1); and (<b>c</b>) linearization according to Higuchi’s model.</p>
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<p>Representations of the kinetics release of the beads in SIF. (<b>a</b>,<b>a′</b>) Percentage fraction of time-released curcumin; (<b>b</b>,<b>b′</b>) linearization according to Peppas’ model; and (<b>c</b>,<b>c′</b>) linearization according to Higuchi’s model.</p>
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<p>SEM images in order: (<b>a</b>) B-MG_curc5 after 4 h soaking in SGF; (<b>b</b>) B-MG_5.0_curc5 after 4 h soaking in SGF; (<b>c</b>) B-MG_curc5 after 4 h soaking in SIF; and (<b>d</b>) B-MG_5.0Ce_curc5 after 4 h soaking in SIF.</p>
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<p>Variation of H<sub>2</sub>O<sub>2</sub> concentration mediated by samples (black) and variation of pH (red) during the assay time.</p>
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<p>Variation of H<sub>2</sub>O<sub>2</sub> concentration mediated by samples (black) and variation of pH (red) during the assay time.</p>
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<p>UV-Vis absorption spectra after 2 h contact with DPPH.</p>
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<p>UV-Vis absorption spectra of samples kept in contact for 2 h with DPPH.</p>
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<p>Graphic representation of the percentage of DPPH remaining over time for samples (<b>a</b>) and for curcumin effect (<b>b</b>).</p>
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18 pages, 4175 KiB  
Article
Double Stimuli-Responsive di- and Triblock Copolymers of Poly(N-isopropylacrylamide) and Poly(1-vinylimidazole): Synthesis and Self-Assembly
by Elena Yu. Kozhunova, Anna V. Plutalova, Andrey V. Sybachin, Alexander V. Chertovich and Elena V. Chernikova
Int. J. Mol. Sci. 2023, 24(1), 879; https://doi.org/10.3390/ijms24010879 - 3 Jan 2023
Viewed by 2377
Abstract
For the first time, double stimuli-responsive properties of poly(N-isopropylacrylamide) (PNIPA) and poly(1-vinylimidazole) (PVIM) block copolymers in aqueous solutions were studied. The synthesis of PNIPA60-b-PVIM90 and PNIPA28-b-PVIM62-b-PNIPA29 was performed using [...] Read more.
For the first time, double stimuli-responsive properties of poly(N-isopropylacrylamide) (PNIPA) and poly(1-vinylimidazole) (PVIM) block copolymers in aqueous solutions were studied. The synthesis of PNIPA60-b-PVIM90 and PNIPA28-b-PVIM62-b-PNIPA29 was performed using reversible addition–fragmentation chain transfer (RAFT) polymerization. The polymers were characterized by size exclusion chromatography and 1H NMR spectroscopy. The conformational behavior of the polymers was studied using dynamic light scattering (DLS) and fluorescence spectroscopy (FS). It was found that PNIPA and block copolymers conformation and ability for self-assembly in aqueous medium below and above cloud point temperature depend on the locus of hydrophobic groups derived from the RAFT agent within the chain. Additionally, the length of PVIM block, its locus in the chain and charge perform an important role in the stabilization of macromolecular micelles and aggregates below and above cloud point temperature. At 25 °C the average hydrodynamic radius (Rh) of the block copolymer particles at pH 3 is lower than at pH 9 implying the self-assembling of macromolecules in the latter case. Cloud points of PNIPA60-b-PVIM90 are ~43 °C and ~37 °C at a pH of 3 and 9 and of PNIPA28-b-PVIM62-b-PNIPA29 they are ~35 °C and 31 °C at a pH of 3 and 9. Around cloud point independently of pH, the Rh value for triblock copolymer rises sharply, achieves the maximum value, then falls and reaches the constant value, while for diblock copolymer, it steadily grows after reaching cloud point. The information about polarity of microenvironment around polymer obtained by FS accords with DLS data. Full article
(This article belongs to the Special Issue Synthesis of Advanced Polymer Materials)
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<p>SEC traces of PNIPA (1), and block-copolymers (2), synthesized with BTC (<b>a</b>), and CPDTC (<b>b</b>).</p>
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<p><sup>1</sup>H NMR spectra of PNIPA-1 (<b>a</b>) and PNIPA-2 (<b>b</b>) in DMSO-d<sub>6</sub>.</p>
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<p>SEC traces of PNIPA before (1) and after (2) heating at 70 °C in glacial acetic acid.</p>
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<p><sup>1</sup>H NMR spectra of block copolymers synthesized using PNIPA-1 (<b>a</b>) and PNIPA-2 (<b>b</b>) in DMSO-d<sub>6</sub>.</p>
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<p>The dependence of normalized scattered light intensity on temperature of PNIPA-1 (1) and PNIPA-2 (2) aqueous solutions measured at the angle of 90° pH = 7.0.</p>
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<p>The proposed micelle structures of PNIPA-2 (<b>a</b>) and PNIPA-1 (<b>b</b>) in aqueous solutions before cloud point temperature.</p>
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<p>The dependence of normalized scattered light intensity on temperature of PNIPA<sub>28</sub>-<span class="html-italic">b</span>-PVIM<sub>62</sub>-<span class="html-italic">b</span>-PNIPA<sub>29</sub> (1) and PNIPA<sub>60</sub>-<span class="html-italic">b</span>-PVIM<sub>90</sub> (2) aqueous solutions measured at the angle of 90°. The pH = 3.0 (<b>a</b>) and 9.0 (<b>b</b>), respectively.</p>
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<p>The temperature dependencies of hydrodynamic radius R<sub>h</sub> at pH 3 (<b>a</b>) and pH 9 (<b>b</b>) for aqueous solutions of PNIPA<sub>28</sub>-<span class="html-italic">b</span>-PVIM<sub>62</sub>-<span class="html-italic">b</span>-PNIPA<sub>29</sub> (1) and PNIPA<sub>60</sub>-<span class="html-italic">b</span>-PVIM<sub>90</sub> (2); the measurements were taken under the scattering angle of 90°. * The sample precipitates with time when heated a few degrees above the Tcp.</p>
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<p>The dependence of peaks intensity ratio I<sub>1</sub>/I<sub>3</sub> of the pyrene probe on the polymer concentration in acetate buffer at pH 4.5 at 25 °C for PNIPA-1 (1) and PNIPA-2 (2). Here and below, pyrene probe concentration 5 × 10<sup>−7</sup> mol/L.</p>
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<p>The dependence of peaks intensity ratio I<sub>1</sub>/I<sub>3</sub> of the pyrene probe on the polymer concentration in acetate buffer at pH 4.5 (<b>a</b>) and pH 9 (<b>b</b>) at 25 °C (1, 2) and 55 °C (3, 4) for PNIPA<sub>28</sub>-<span class="html-italic">b</span>-PVIM<sub>62</sub>-<span class="html-italic">b</span>-PNIPA<sub>29</sub> (1, 3) and PNIPA<sub>60</sub>-<span class="html-italic">b</span>-PVIM<sub>90</sub> (2, 4). <span class="html-italic">Note</span>: no correct data was obtained for the samples PNIPA<sub>60</sub>-<span class="html-italic">b</span>-PVIM<sub>90</sub> at concentrations above 0.5 mg/mL at 55 °C due to significant phase separation.</p>
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<p>The general scenario of the RAFT mechanism.</p>
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<p>The general scenario of the formation of block copolymer.</p>
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<p>Formation of a triblock copolymer ABA.</p>
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<p>Formation of a diblock copolymer AB using monofunctional RAFT agent.</p>
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17 pages, 1445 KiB  
Review
Choroid Plexus Aquaporins in CSF Homeostasis and the Glymphatic System: Their Relevance for Alzheimer’s Disease
by Cristina Municio, Laura Carrero, Desireé Antequera and Eva Carro
Int. J. Mol. Sci. 2023, 24(1), 878; https://doi.org/10.3390/ijms24010878 - 3 Jan 2023
Cited by 17 | Viewed by 6169
Abstract
The glymphatic system, a fluid-clearance pathway involved in brain waste clearance, is known to be impaired in neurological disorders, including Alzheimer’s disease (AD). For this reason, it is important to understand the specific mechanisms and factors controlling glymphatic function. This pathway enables the [...] Read more.
The glymphatic system, a fluid-clearance pathway involved in brain waste clearance, is known to be impaired in neurological disorders, including Alzheimer’s disease (AD). For this reason, it is important to understand the specific mechanisms and factors controlling glymphatic function. This pathway enables the flow of cerebrospinal fluid (CSF) into the brain and subsequently the brain interstitium, supported by aquaporins (AQPs). Continuous CSF transport through the brain parenchyma is critical for the effective transport and drainage of waste solutes, such as toxic proteins, through the glymphatic system. However, a balance between CSF production and secretion from the choroid plexus, through AQP regulation, is also needed. Thus, any condition that affects CSF homeostasis will also interfere with effective waste removal through the clearance glymphatic pathway and the subsequent processes of neurodegeneration. In this review, we highlight the role of AQPs in the choroid plexus in the modulation of CSF homeostasis and, consequently, the glymphatic clearance pathway, with a special focus on AD. Full article
(This article belongs to the Special Issue The Molecular and Cellular Mechanisms of Neurodegenerative Diseases)
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<p>Illustration of choroid plexus epithelial cells (<b>left</b>) and tight junctions at the luminal membrane (<b>right</b>). CP: choroid plexus; CSF: cerebrospinal fluid; JAMs: junctional adhesion molecules; ZO: zonula occludens.</p>
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<p>Brain lymphatic drainage system. (<b>A</b>) Glymphatic system clears solutes and waste of the brain parenchyma due to the influx of CSF from the periarterial space. Once the CSF is mixed with the ISF, they drain into the perivenous space. Part (<b>B</b>) shows a summary of the other brain drainage systems that transport the CSF through the meningeal lymphatic vessels and/or perineural pathways, such as olfactory nerve, to the cervical lymph nodes AQP: aquaporin; CNS: central nervous system; CSF: cerebrospinal fluid; ISF: interstitial fluid.</p>
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<p>Relationship between choroid plexus and glymphatic system. In healthy conditions (<b>above</b>), the choroid plexus forms the BCSFB and produces CSF. CSF flows from the periarterial space to the brain parenchyma via AQP4, located in the end-feet of astrocytes. This movement is favored positive pressure of CSF production from the choroid plexus and the arterial pulse. The CSF/ISF mixture and waste products are cleared by passing into the perivenous space to be taken to the lymphatic tissues. In AD (<b>below</b>) the expression of AQPs decreases in choroid plexus epithelial cells causing a reduction in CSF production. The decrease in pressure exerted by the CSF together with the diminution and depolarization of AQP4 in the astrocyte end-feet, reduces the glymphatic function, preventing a correct clearance of the ISF and waste products. AQP: aquaporin; BCSFB: brain CSF barrier; CSF: cerebrospinal fluid; CP: choroid plexus; ISF: interstitial fluid.</p>
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11 pages, 5531 KiB  
Communication
Dihydroceramides Derived from Bacteroidetes Species Sensitize TRPV1 Channels
by Nora Ludwig, Isaac S. Demaree, Chiaki Yamada, Amilia Nusbaum, Frank C. Nichols, Fletcher A. White, Alexandru Movila and Alexander G. Obukhov
Int. J. Mol. Sci. 2023, 24(1), 877; https://doi.org/10.3390/ijms24010877 - 3 Jan 2023
Cited by 1 | Viewed by 2016
Abstract
Bacterial colonization of open wounds is common, and patients with infected wounds often report significantly elevated pain sensitivity at the wound site. Transient Receptor Potential Vanilloid Type 1 (TRPV1) channels are known to play an important role in pain signaling and may be [...] Read more.
Bacterial colonization of open wounds is common, and patients with infected wounds often report significantly elevated pain sensitivity at the wound site. Transient Receptor Potential Vanilloid Type 1 (TRPV1) channels are known to play an important role in pain signaling and may be sensitized under pro-inflammatory conditions. Bacterial membrane components, such as phosphoethanolamine dihydroceramide (PEDHC), phosphoglycerol dihydroceramide (PGDHC), and lipopolysaccharide (LPS), are released in the environment from the Gram-negative bacteria of the Bacteroidetes species colonizing the infected wounds. Here, we used intracellular calcium imaging and patch-clamp electrophysiology approaches to determine whether bacterially derived PEDHC, PGDHC, or LPS can modulate the activity of the TRPV1 channels heterologously expressed in HEK cells. We found that PEDHC and PGDHC can sensitize TRPV1 in a concentration-dependent manner, whereas LPS treatment does not significantly affect TRPV1 activity in HEK cells. We propose that sensitization of TRPV1 channels by Bacteroidetes-derived dihydroceramides may at least in part underlie the increased pain sensitivity associated with wound infections. Full article
(This article belongs to the Special Issue Targeting TRP Channels for Pain, Itch and Inflammation Relief)
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<p><span class="html-italic">Bacteroidetes spp.</span> release several membrane components into the environment, such as phosphoethanolamine dihydroceramide (PEDHC), phosphoglycerol dihydroceramide (PGDHC), and lipopolysaccharides (LPS). The upper panel of the figure shows molecular structures of the named components (LPS from <span class="html-italic">Porphyromonas gingivalis,</span> LPS-PG, is shown; [<a href="#B18-ijms-24-00877" class="html-bibr">18</a>]). The lower panel depicts a drawing of bacterially infected wound.</p>
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<p>The effect of high concentration of dihydroceramides (10 μg/mL) on capsaicin-induced intracellular Ca<sup>2+</sup> increases measured using Fura-2 fluorescence imaging. (<b>A</b>) F<sub>340</sub>/F<sub>380</sub> ratio increases were greater in cells pretreated with PEDHC (10 μg/mL) compared to cells pretreated with PBS or PGDHC (PBS, <span class="html-italic">n</span> = 68; PEDHC, <span class="html-italic">n</span> = 24; PGDHC, <span class="html-italic">n</span> = 52). The gray area indicates ± SEM. The solid lines are the means of F<sub>340</sub>/F<sub>380</sub> ratio changes over time recorded in each individual cell. The horizontal bars denote the times when the indicated compounds were present in the bath. (<b>B</b>) Summary of the data presented in (<b>A</b>). The differences between the peak values of capsaicin-induced Fura-2 F<sub>340</sub>/F<sub>380</sub> ratio increases and the F<sub>340</sub>/F<sub>380</sub> ratio at the baseline were determined in each tested TRPV1-HEK cell. The filled red circles represent the mean difference values for each experimental group, and the vertical red lines are the error bars (SEM). The Kruskal–Wallis one-way analysis of variance (ANOVA) on ranks test, followed by the Dunn’s post hoc multiple comparisons versus control group test, was used to determine whether there is a significant difference between the tested groups. A statistically significant difference was observed only between the PEDHC and PBS groups at this concentration (<span class="html-italic">p</span> = 0.018).</p>
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<p>The effect of intermediate concentration of dihydroceramides (1 μg/mL) on capsaicin-induced intracellular Ca<sup>2+</sup> increases measured using Fura-2 fluorescence imaging. (<b>A</b>) F<sub>340</sub>/F<sub>380</sub> ratio increases were greater in cells pretreated with PGDHC (1 μg/mL) compared to cells pretreated with PBS or PEDHC (1 μg/mL) (PBS, <span class="html-italic">n</span> = 76; PEDHC, <span class="html-italic">n</span> = 83; PGDHC, <span class="html-italic">n</span> = 70). The gray area indicates ± SEM. The solid lines are the means of F<sub>340</sub>/F<sub>380</sub> ratio changes over time recorded in each individual cell. The horizontal bars denote the times when the indicated compounds were present in the bath. (<b>B</b>) Summary of the data presented in (<b>A</b>). The differences between the peak values of capsaicin-induced F<sub>340</sub>/F<sub>380</sub> ratio increases and the F<sub>340</sub>/F<sub>380</sub> ratio at the baseline were determined in each tested TRPV1-HEK cell. The filled red circles represent the mean difference values for each experimental group, and the vertical red lines are the error bars (SEM). The Kruskal–Wallis one-way ANOVA on ranks test, followed by the Dunn’s post hoc multiple comparisons versus control group test, was used to determine whether there is a significant difference between the tested groups. A statistically significant difference was observed only between the PGDHC and PBS groups at this concentration (<span class="html-italic">p</span> = 0.001).</p>
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<p>Low concentration of neither PGDHC (0.1 μg/mL) nor PEDHC (0.1 μg/mL) altered capsaicin-induced intracellular Ca<sup>2+</sup> increases measured using Fura-2 fluorescence imaging. (<b>A</b>) F<sub>340</sub>/F<sub>380</sub> ratio increases were not different in cells pretreated with PGDHC (0.1 μg/mL) or PEDHC (0.1 μg/mL) compared to cells pretreated with PBS (PBS, <span class="html-italic">n</span> = 60; PEDHC, <span class="html-italic">n</span> = 116; PGDHC, <span class="html-italic">n</span> = 94). The gray area indicates ± SEM. The solid lines are the means of F<sub>340</sub>/F<sub>380</sub> ratio changes over time recorded in each individual cell. The horizontal bars denote the times when the indicated compounds were present in the bath. (<b>B</b>) Summary of the data presented in (<b>A</b>). The differences between the peak values of capsaicin-induced F<sub>340</sub>/F<sub>380</sub> ratio increases and the F<sub>340</sub>/F<sub>380</sub> ratio at the baseline were determined in each tested TRPV1-HEK cell. The filled red circles represent the mean difference values for each experimental group, and the vertical red lines are the error bars (SEM). The Kruskal–Wallis one-way ANOVA on ranks test was used to determine whether there is a significant difference between the tested groups. No statistically significant difference was observed between the tested groups at this concentration (<span class="html-italic">p</span> = 0.072).</p>
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<p>LPS-PG (1 μg/mL and 10 μg/mL) pretreatment did not affect capsaicin-induced intracellular Ca<sup>2+</sup> increases measured using Fura-2 fluorescence imaging in TRPV1-HEK cells. (<b>A</b>) F<sub>340</sub>/F<sub>380</sub> ratio increases were not significantly different in cells pretreated with LPS-PG (1 μg/mL) or LPS-PG (10 μg/mL) compared to cells pretreated with vehicle control (PBS, <span class="html-italic">n</span> = 65; LPS-PG 10 μg/mL, <span class="html-italic">n</span> = 58; LPS-PG 1 μg/mL, <span class="html-italic">n</span> = 36). The gray area indicates ± SEM. The solid lines are the means of F<sub>340</sub>/F<sub>380</sub> ratio changes over time recorded in each individual cell. The horizontal bars denote the times when the indicated compounds were present in the bath. (<b>B</b>) Summary of the data presented in (<b>A</b>). The differences between the peak values of capsaicin-induced F<sub>340</sub>/F<sub>380</sub> ratio increases and the F<sub>340</sub>/F<sub>380</sub> ratio at the baseline were determined in each tested TRPV1-HEK cell. The filled red circles represent the mean difference values for each experimental group, and the vertical red lines are the error bars (SEM). No statistically significant difference was observed between each LPS-PG group and the PBS group (Kruskal–Wallis one-way ANOVA on ranks test, <span class="html-italic">p</span> = 0.111).</p>
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<p>Effect of dihydroceramides on capsaicin-activated currents in TRPV1-HEK cells. The recordings were obtained using the whole-cell voltage-clamp approach. (<b>A</b>–<b>C</b>) Sample traces of capsaicin (50 nM)-activated current time courses in TRPV1-HEK cells pretreated with either PBS, PEDHC (1 μg/mL, <span class="html-italic">n</span> = 10), or PGDHC (1 μg/mL, <span class="html-italic">n</span> = 10). The holding potential was −60 mV. The horizontal bars denote the times when the indicated compounds were present in the bath. The kinetics of capsaicin-induced current decays were variable and did not significantly differ between the tested groups. Neither PEDHC (1 μg/mL) nor PGDHC (1 μg/mL) induced any currents in TRPV1-HEK cells when each dihydroceramide was applied alone in the absence of capsaicin. (<b>D</b>,<b>E</b>) Comparison of the differences between the amplitudes of peak capsaicin (50 nM)-induced currents recorded in the presence of either PBS, PEDHC (1 μg/mL), or PGDHC (1 μg/mL) indicated with (2) in panels A–C and the currents recorded in the presence of only PBS, PEDHC (1 μg/mL), or PGDHC (1 μg/mL) at the time point indicated with (1) in panels A–C. The data were collected at a holding potential of −60 mV. Each filled black circle indicates the value for each tested cell. The filled red circles represent the mean difference values for each experimental group, and the vertical red lines are the error bars (SEM). The t-test was used to compare the data sets. Statistically significant differences were observed between the experimental groups. (<b>F</b>) Current–voltage relationships for capsaicin (50 nM)-induced currents in the presence of either PBS or PEDHC (1 μg/mL). The gray area indicates ± SEM. The solid lines are the means of current–voltage relationships (PBS, <span class="html-italic">n</span> = 8; PEDHC, <span class="html-italic">n</span> = 10). (<b>G</b>) Current–voltage relationships for capsaicin (50 nM)-induced currents in the presence of either PBS or PGDHC (1 μg/mL). The gray area indicates ± SEM. The solid lines are the means of current–voltage relationships (PBS, <span class="html-italic">n</span> = 10; PGDHC, <span class="html-italic">n</span> = 10). (<b>H</b>) The voltage waveform protocol used during the whole-cell voltage-clamp experiments.</p>
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<p>Effect of LPS-PG on capsaicin-activated currents in TRPV1-HEK cells. (<b>A</b>,<b>B</b>) Sample traces of capsaicin (50 nM)-activated current time courses in TRPV1-HEK cells pretreated with either PBS (<span class="html-italic">n</span> = 7) or LPS-PG (1 μg/mL, <span class="html-italic">n</span> = 5). Whole-cell voltage-clamp recordings are shown. The holding potential was −60 mV. The horizontal bars denote the times when the indicated compounds were present in the bath. LPS-PG (1 μg/mL) did not induce any currents in TRPV1-HEK cells when it was added to the recording chamber alone. (<b>C</b>) Comparison of the differences between peak capsaicin (50 nM)-induced current amplitudes recorded in the presence of either PBS or LPS-PG (1 μg/mL) indicated with (2) in panels A–B and the currents recorded in the presence of PBS or LPS-PG (1 μg/mL) alone at a time point indicated with (1) in panels A–B. The data were collected at a holding potential of −60 mV. Each filled black circle indicates the difference value for each tested cell. The filled red circle represents the mean value for each experimental group, and the vertical red lines are the error bars (SEM). The t-test was used to compare the data sets. There was no statistically significant difference between the two experimental groups. (<b>D</b>) Current–voltage relationships for capsaicin (50 nM)-induced currents in the presence of either PBS or LPS-PG (1 μg/mL). The gray area indicates ± SEM. The solid lines are the means of current–voltage relationships (PBS, <span class="html-italic">n</span> = 7; LPS-PG, <span class="html-italic">n</span> = 5). (<b>E</b>) the voltage waveform protocol used during the whole-cell voltage-clamp experiments.</p>
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22 pages, 6592 KiB  
Article
Activated Leukocyte Cell Adhesion Molecule (ALCAM), a Potential ‘Seed’ and ‘Soil’ Receptor in the Peritoneal Metastasis of Gastrointestinal Cancers
by Yi Ming Yang, Lin Ye, Fiona Ruge, Ziqian Fang, Ke Ji, Andrew J. Sanders, Shuqin Jia, Chunyi Hao, Q. Ping Dou, Jiafu Ji and Wen G. Jiang
Int. J. Mol. Sci. 2023, 24(1), 876; https://doi.org/10.3390/ijms24010876 - 3 Jan 2023
Cited by 3 | Viewed by 3421
Abstract
Activated Leukocyte Cell Adhesion Molecule (ALCAM/CD166) is a cell–cell adhesion protein conferring heterotypic and homotypic interactions between cells of the same type and different types. It is aberrantly expressed in various cancer types and has been shown to be a regulator of cancer [...] Read more.
Activated Leukocyte Cell Adhesion Molecule (ALCAM/CD166) is a cell–cell adhesion protein conferring heterotypic and homotypic interactions between cells of the same type and different types. It is aberrantly expressed in various cancer types and has been shown to be a regulator of cancer metastasis. In the present study, we investigated potential roles of ALCAM in the peritoneal transcoelomic metastasis in gastrointestinal cancers, a metastatic type commonly occurred in gastro-intestinal and gynaecological malignancies and resulting in poor clinical outcomes. Specifically, we studied whether ALCAM acts as both a ‘seed’ receptor in these tumour cells and a ‘soil’ receptor in peritoneal mesothelial cells during cancer metastasis. Gastric cancer and pancreatic cancer tissues with or without peritoneal metastasis were compared for their levels of ALCAM expression. The impact of ALCAM expression in these tumours was also correlated to the patients’ clinical outcomes, namely peritoneal metastasis-free survival. In addition, cancer cells of gastric and pancreatic origins were used to create cell models with decreased or increased levels of ALCAM expression by genetic knocking down or overexpression, respectively. Human peritoneal mesothelial cells were also genetically transfected to generate cell models with different profiles of ALCAM expression. These cell models were used in the tumour-mesothelial interaction assay to assess if and how the interaction was influenced by ALCAM. Both gastric and pancreatic tumour tissues from patients who developed peritoneal metastases had higher levels of ALCAM transcript than those without. Patients who had tumours with high levels of ALCAM had a much shorter peritoneal metastasis free survival compared with those who had low ALCAM expression (p = 0.006). ALCAM knockdown of the mesothelial cell line MET5A rendered the cells with reduced interaction with both gastric cancer cells and pancreatic cancer cells. Likewise, levels of ALCAM in both human gastric and pancreatic cancer cells were also a determining factor for their adhesiveness to mesothelial cells, a process that was likely to be triggered the phosphorylation of the SRC kinase. A soluble ALCAM (sALCAM) was found to be able to inhibit the adhesiveness between cancer cells and mesothelial cells, mechanistically behaving like a SRC kinase inhibitor. ALCAM is an indicator of peritoneal metastasis in both gastric and pancreatic cancer patients. It acts as not only a potential peritoneal ‘soil’ receptor of tumour seeding but also a ‘soil’ receptor in peritoneal mesothelial cells during cancer metastasis. These findings have an important therapeutic implication for treating peritoneal transcoelomic metastases. Full article
(This article belongs to the Special Issue State-of-the-Art Molecular Oncology in UK)
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Figure 1

Figure 1
<p>ALCAM transcript expression in tumours (<b>A</b>,<b>B</b>) and in relationship with peritoneal metastasis free survivals (<b>C</b>,<b>D</b>). (<b>A</b>,<b>B</b>): The ALCAM levels were compared between tumours from patients who remained disease-free and those who developed peritoneal metastases (<span class="html-italic">n</span> = 18 with peritoneal metastasis and <span class="html-italic">n</span> = 112 who were disease free for the gastric cancer group and <span class="html-italic">n</span> = 6 and <span class="html-italic">n</span> = 35 for the pancreatic cancer group). * <span class="html-italic">p</span> = 0.037, ** <span class="html-italic">p</span> = 0.01. (<b>C</b>,<b>D</b>): Gastric cancer patients with high levels of ALCAM had a significantly shorter survival than those with low levels (<span class="html-italic">p</span> = 0.006). A similar shorter survival with seen with pancreatic cancer patients although this is yet to reach statistical significance (<span class="html-italic">p</span> = 0.208).</p>
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<p>Creation of cell models with differential expression of ALCAM as confirmed by PCR (<b>left panel</b>) and quantitative PCR (<b>right panel</b>). (<b>A</b>): The ALCAM transcript expression in MET5A control (MET5A<sup>Control</sup>) and ALCAM knockdown cells (MET5A<sup>ALCAM-KD</sup>). (<b>B</b>): The ALCAM transcript expression levels in HGC-27 control (HGC27<sup>Control</sup>) and ALCAM knockdown cells (HGC27<sup>ALCAM-KD</sup>) (<b>left</b>), as well as AGS control (AGS <sup>Control</sup>) and ALCAM knockdown cells (AGS<sup>ALCAM-KD</sup>) (<b>right</b>). (<b>C</b>): The ALCAM transcript expression levels in PANC-1 Control (PANC1<sup>Control</sup>) and ALCAM knockdown cells (PANC1<sup>ALCAM-KD</sup>) (<b>left</b>), as well as MIA PaCa-2 Control (MIA<sup>Control</sup>) and ALCAM overexpression cells (MIA<sup>ALCAM-OE</sup>) (<b>right</b>). *: ALCAM-modified cell lines which showed significant changes compared with their respective control cells (<span class="html-italic">p</span> &lt; 0.05). (<b>D</b>): Knockdown of ALCAM protein in the respective cell lines as shown by protein blotting.</p>
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<p>ECIS based evaluation of gastric adhesion to mesothelial cells. (<b>A</b>–<b>D</b>): Adhesion of HGC27 cells to MET5A mesothelial cells; (<b>E</b>–<b>H</b>): Adhesion of AGS cells to MET5A cells; Shown are monitoring at 4000 Hz. MET5A<sup>Control</sup>, AGS<sup>Control</sup>, HGC27<sup>Control</sup>: control transfected cells; MET5A<sup>ALCAM-KD</sup>, AGS<sup>ALCAM-KD</sup>, HGC27<sup>ALCAM-KD</sup>: cells with ALCAM knockdown by way of cell transfection. Replicate <span class="html-italic">n</span> = 4.</p>
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<p>Interaction between HGC-27 (<b>left</b>) or AGS (<b>right</b>) gastric cancer cells and MET5A mesothelial cells. Both gastric cancer cell lines after knocking down ALCAM showed reduced adhesion to MET5A mesothelial cells. * Groups of cells with ALCAM knockdown compared with the groups of control MET5A cells plus control cancer cells (<span class="html-italic">p</span> &lt; 0.05, replicate <span class="html-italic">n</span> = 4).</p>
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<p>ECIS based evaluation of pancreatic adhesion to mesothelial cells. (<b>A</b>–<b>D</b>): Adhesion of PANC1 cells to MET5A mesothelial cells; (<b>E</b>–<b>H</b>): Adhesion of MIA PaCa-2 cells to MET5A cells. Shown are monitoring at 4000Hz. MET5A<sup>Control</sup>, PANC1<sup>Control</sup>, MIAPaCa2<sup>Control</sup>: control transfected cells; MET5A<sup>ALCAM-KD</sup>, PANC1<sup>ALCAM-KD</sup>: cells with ALCAM knockdown by way of cell transfection; MIAPaCa2<sup>ALCAM-OE</sup>: cells with ALCAM overexpression by way of cell transfection. Replicate <span class="html-italic">n</span> = 4.</p>
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<p>Interaction between PANC-1 (<b>left</b>) and MIA PaCa-2 (<b>right</b>) pancreatic cancer cells and MET5A mesothelial cells. Left: PANC-1 cells after knocking down ALCAM by way of knocking down showed reduced adhesion to MET5A mesothelial cells. Right: Overexpression of ALCAM in MIA PaCa-2 cells had augmented the interaction with mesothelial cells. * Groups of cells with ALCAM modification compared with groups of control MET5A cells plus control cancer cells (<span class="html-italic">p</span> &lt; 0.05, replicate <span class="html-italic">n</span> = 4).</p>
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<p>Interaction between pancreatic cancer cell line PANC-1 and mesothelial cell line MET5A as determined by the DiI based assays. (<b>Top</b>): Representative images (×10 magnification) of pancreatic cancer cells (PANC-1 Control and ALCAM knockdown cells) adherence to mesothelial cells (MET5A Control and ALCAM knockdown cells). (<b>A</b>–<b>D</b>) represent wells without any treatment and E-H represent wells treated with 2 µg/mL sALCAM. (<b>A</b>,<b>E</b>): MET5A Control + PANC-1 Control; (<b>B</b>,<b>F</b>): MET5A Control + PANC-1 ALCAM knockdown; (<b>C</b>,<b>G</b>): MET5A ALCAM knockdown + PANC-1 Control; (<b>D</b>,<b>H</b>): MET5A ALCAM knockdown + PANC-1 ALCAM knockdown. (<b>Bottom</b>): Graphical representation of pancreatic cancer cells (PANC-1 Control and ALCAM knockdown cells) adherence to mesothelial cells (MET5A Control and ALCAM knockdown cells). * Groups which showed significantly differences compared with “MET5A Control + PANC-1 Control” group (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Interaction between pancreatic cancer cell line MIA PaCa-2 and mesothelial cell line MET5A as determined by the DiI based assays. (<b>Top</b>): Representative images (×10 magnification) of pancreatic cancer cells (MIA PaCa-2 Control and ALCAM overexpression cells) adherence to mesothelial cells (MET5A Control and ALCAM knockdown cells). (<b>A</b>–<b>D</b>) represent wells without any treatment and E-H represent wells treated with 2 µg/mL sALCAM. (<b>A</b>,<b>E</b>): MET5A control + MIA PaCa-2 control; (<b>B</b>,<b>F</b>): MET5A control + MIA PaCa-2 overexpression; (<b>C</b>,<b>G</b>): MET5A knockdown + MIA PaCa-2 control; (<b>D</b>,<b>H</b>): MET5A knockdown + MIA PaCa-2 overexpression. (<b>Bottom</b>): Graphical representation of pancreatic cancer cells (MIA Control and ALCAM overexpression cells) adherence to mesothelial cells (MET5A Control and ALCAM knockdown cells). *: Groups which showed significantly differences compared with “MET5A Control + MIA Control” group (<span class="html-italic">p</span> &lt; 0.05); #: Groups which showed significantly differences compared with “MET5A ALCAM-KD + MIA Control” group (<span class="html-italic">p</span> &lt; 0.05); &amp;: Groups which showed significantly differences compared with” MET5A Control+ MIA Control + sALCAM” group (<span class="html-italic">p</span> &lt; 0.05); @: Groups which showed significantly differences compared with “MET5A Control + MIA ALCAM-OE” group (<span class="html-italic">p</span> &lt; 0.05); <span>$</span>: Groups which showed significantly differences compared with “MET5A ALCAM-KD + MIA ALCAM-OE” (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Interaction between gastric cancer cell line HGC-27 and mesothelial cell line MET5A as determined by the DiI based assays. (<b>Top</b>): Representative images (×10 magnification) of gastric cancer cells (HGC-27 Control and ALCAM knockdown cells) adherence to mesothelial cells (MET5A Control and ALCAM knockdown cells). (<b>A</b>–<b>D</b>) represent wells without any treatment and E-H represent wells treated with 2 µg/mL sALCAM. (<b>A</b>,<b>E</b>): MET5A Control + HGC27 Control; (<b>B</b>,<b>F</b>): MET5A Control + HGC27 ALCAM knockdown; (<b>C</b>,<b>G</b>): MET5A ALCAM knockdown + HGC27 Control; (<b>D</b>,<b>H</b>): MET5A ALCAM knockdown + HGC27 ALCAM knockdown. (<b>Bottom</b>): Graphical representation of gastric cancer cells (HGC-27 Control and ALCAM knockdown cells) adherence to mesothelial cells (MET5A Control and ALCAM knockdown cells). *: Groups which showed significantly differences compared with “MET5A Control + HGC27 Control” group (<span class="html-italic">p</span> &lt; 0.05). #: Groups which showed significantly differences compared with “MET5A Control + HGC27 Control + sALCAM” group (<span class="html-italic">p</span> &lt; 0.05); &amp;: Groups which showed significantly differences compared with” MET5A Control+ HGC27 ALCAM-KD” group (<span class="html-italic">p</span> &lt; 0.05); <span>$</span>: Groups which showed significantly differences compared with “MET5A ALCAM-KD + HGC27 ALCAM-KD” group (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Interaction between gastric cancer cell line AGS and mesothelial cell line MET5A as determined by the DiI based assays. (<b>Top</b>): Representative images (×10 magnification) of gastric cancer cells (AGS Control and ALCAM knockdown cells) adherence to mesothelial cells (MET5A Control and ALCAM knockdown cells). (<b>A</b>–<b>D</b>) represent wells without any treatment and E-H represent wells treated with 2 µg/mL sALCAM. (<b>A</b>,<b>E</b>): MET5A control + AGS control; (<b>B</b>,<b>F</b>): MET5A control + AGS ALCAM knockdown; (<b>C</b>,<b>G</b>): MET5A ALCAM knockdown + AGS Control; (<b>D</b>,<b>H</b>): MET5A ALCAM knockdown + AGS ALCAM knockdown. (<b>Bottom</b>): Graphical representation of pancreatic cancer cells (AGS Control and ALCAM knockdown cells) adherence to mesothelial cells (MET5A Control and ALCAM knockdown cells). *: Groups which showed significantly differences compared with “MET5A Control + AGS Control” group (<span class="html-italic">p</span> &lt; 0.05). #: Groups which showed significantly differences compared with “MET5A Control + AGS ALCAM-KD” group (<span class="html-italic">p</span> &lt; 0.05); &amp;: Groups which showed significantly differences compared with” MET5A Control + AGS Control + sALCAM” group (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Tumour-mesothelial interaction and the role of SRC kinase. (<b>A</b>). The effects of SRC inhibitor (SRCi), AZM475271 on the interaction between pancreatic cancer cell MIA PaCa-2 and mesothelial cells by DiI assay. The SRC inhibitor suppressed the adhesion between 80 nM to 10 μM, to a degree similar to that of soluble ALCAM (* <span class="html-italic">p</span> &lt; 0.05 versus control). (<b>B</b>). Representative images of tumour-mesothelial interaction. (<b>C</b>). Expression of potential ALCAM interacting partners in gastric and pancreatic cancer and mesothelial cells. All cells were negative for CD6 and L1CAM except that AGS was weakly positive for L1CAM (CD171). Cells were otherwise positive for SRC, and the ERM family ezrin and moesin. (<b>D</b>). SRC kinase expression and phosphorylation. MET5A cells were treated with soluble ALCAM (sALCAM) at 2.5 μg/mL or the SRC inhibitor (SRCi) AZM475271 at 400 nM for 40 min. Total SRC and phosphorylated-SRC (pSRC) was detected by protein blotting. Both sALCAM and SRCi inhibited the phosphorylation of SRC as shown in the bar graph. Insert: band density of respective SRC and p-SRC.</p>
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<p>The proposed mechanism of ALCAM mediated tumour-endothelial interactions. Following shedding of cancer cells from the primary site, stomach or pancreas (<b>A</b>), the metastatic cancer cells (seeds) in the abdominal cavity come to contact the peritoneal mesothelial cells (‘soil’) (<b>B</b>), all expressed high levels of ALCAM but neither expressed CD6 or L1CAM (<b>C</b>), which initiates the ALACAM-ALCAM homotypic interaction. Supported by the machinery including the subcoat protein ERM and signalling kinase SRC, ALCAM mediates the tumour-mesothelial interaction. Soluble ALCAM as an extracellular antagonist or small compound inhibitory molecule to SRC kinase as intracellular inhibitor, can disrupt this ALCAM-ALCAM mediated tumour-endothelial interaction (<b>D</b>) and offer a potential therapeutic opportunity.</p>
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20 pages, 4778 KiB  
Article
The Antimicrobial Peptide Cathelicidin Exerts Immunomodulatory Effects via Scavenger Receptors
by Ryo Amagai, Toshiya Takahashi, Hitoshi Terui, Taku Fujimura, Kenshi Yamasaki, Setsuya Aiba and Yoshihide Asano
Int. J. Mol. Sci. 2023, 24(1), 875; https://doi.org/10.3390/ijms24010875 - 3 Jan 2023
Cited by 7 | Viewed by 3070
Abstract
An active form of cathelicidin antimicrobial peptide, LL-37, has immunomodulatory and stimulatory effects, though the specific pathways are not clear. The purpose of this study was to identify the cellular pathways by which LL-37 amplifies the inflammation induced by damage-associated molecular patterns (DAMPs). [...] Read more.
An active form of cathelicidin antimicrobial peptide, LL-37, has immunomodulatory and stimulatory effects, though the specific pathways are not clear. The purpose of this study was to identify the cellular pathways by which LL-37 amplifies the inflammation induced by damage-associated molecular patterns (DAMPs). We performed DNA microarray, reverse transcription polymerase chain reaction, immunoblotting, and proximity ligation assays using cultured keratinocytes treated with LL-37 and/or the DAMP poly(I:C), a synthetic double-stranded RNA. In contrast to the combination of LL-37 and poly(I:C), LL-37 alone induced genes related to biological metabolic processes such as VEGFA and PTGS2 (COX-2). Inhibition of FPR2, a known receptor for cathelicidin, partially suppressed the induction of VEGFA and PTGS2. Importantly, VEGFA and PTGS2 induced by LL-37 alone were diminished by the knockdown of scavenger receptors including SCARB1 (SR-B1), OLR1 (SR-E1), and AGER (SR-J1). Moreover, LL-37 alone, as well as the combination of LL-37 and poly(I:C), showed proximity to the scavenger receptors, indicating that LL-37 acts via scavenger receptors and intermediates between them and poly(I:C). These results showed that the broad function of cathelicidin is generally dependent on scavenger receptors. Therefore, inhibitors of scavenger receptors or non-functional mock cathelicidin peptides may serve as new anti-inflammatory and immunosuppressive agents. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Skin Autoimmunity and Hypersensitivity)
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Graphical abstract

Graphical abstract
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<p>DNA microarray revealed that LL-37 alone induced biological and metabolic processes, while the combination of LL-37 and poly(I:C) induced immune responses in keratinocytes. (<b>a</b>) Poly(I:C) (0.3 μg/mL), CpG ODN (14.1 μg/mL) or (<b>b</b>) poly(dA:dT) (1 μg/mL) with LL-37 (2.5 μM) each alone or in combination were added to NHEK and cultured for 6 h. The induction of <span class="html-italic">IL6</span> mRNA was measured by RT-PCR. NHEKs were stimulated with LL-37 at different concentrations (0.313–5 μM) alone or in combination with poly(I:C). RT-PCR was performed to quantify the mRNA expressions of (<b>c</b>) <span class="html-italic">IL6</span>, (<b>d</b>) <span class="html-italic">IL36G</span>, and (<b>e</b>) <span class="html-italic">IFNB1</span>. NHEKs were stimulated with LL-37 and poly(I:C) alone or in combination and analyzed by DNA microarray. (<b>f</b>) A Venn diagram shows the number of genes upregulated by each stimulation. Blue: LL-37, green: poly(I:C), red: LL-37+poly(I:C). Gene ontology analyses of genes induced when stimulated with (<b>g</b>) LL-37 alone or (<b>h</b>) in combination with poly(I:C) are shown. (<b>i</b>) Summary of the genes shown in <a href="#ijms-24-00875-f001" class="html-fig">Figure 1</a>f that were increased by LL-37 stimulation but not by other stimuli (blue) and genes that were increased only by co-stimulation with LL-37 and poly(I:C) (red). Data are means ± SEM of three biological replicates. NS, <span class="html-italic">p</span> &gt; 0.05, * <span class="html-italic">p</span> ≤ 0.05, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001 by two-way ANOVA with Bonferroni’s post hoc test. See also <a href="#app1-ijms-24-00875" class="html-app">Figure S1</a>.</p>
Full article ">Figure 1 Cont.
<p>DNA microarray revealed that LL-37 alone induced biological and metabolic processes, while the combination of LL-37 and poly(I:C) induced immune responses in keratinocytes. (<b>a</b>) Poly(I:C) (0.3 μg/mL), CpG ODN (14.1 μg/mL) or (<b>b</b>) poly(dA:dT) (1 μg/mL) with LL-37 (2.5 μM) each alone or in combination were added to NHEK and cultured for 6 h. The induction of <span class="html-italic">IL6</span> mRNA was measured by RT-PCR. NHEKs were stimulated with LL-37 at different concentrations (0.313–5 μM) alone or in combination with poly(I:C). RT-PCR was performed to quantify the mRNA expressions of (<b>c</b>) <span class="html-italic">IL6</span>, (<b>d</b>) <span class="html-italic">IL36G</span>, and (<b>e</b>) <span class="html-italic">IFNB1</span>. NHEKs were stimulated with LL-37 and poly(I:C) alone or in combination and analyzed by DNA microarray. (<b>f</b>) A Venn diagram shows the number of genes upregulated by each stimulation. Blue: LL-37, green: poly(I:C), red: LL-37+poly(I:C). Gene ontology analyses of genes induced when stimulated with (<b>g</b>) LL-37 alone or (<b>h</b>) in combination with poly(I:C) are shown. (<b>i</b>) Summary of the genes shown in <a href="#ijms-24-00875-f001" class="html-fig">Figure 1</a>f that were increased by LL-37 stimulation but not by other stimuli (blue) and genes that were increased only by co-stimulation with LL-37 and poly(I:C) (red). Data are means ± SEM of three biological replicates. NS, <span class="html-italic">p</span> &gt; 0.05, * <span class="html-italic">p</span> ≤ 0.05, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001 by two-way ANOVA with Bonferroni’s post hoc test. See also <a href="#app1-ijms-24-00875" class="html-app">Figure S1</a>.</p>
Full article ">Figure 2
<p>The FPR2 inhibitor WRW4 inhibited the induction of <span class="html-italic">PTGS2</span>, <span class="html-italic">VEGFA</span>, and phosphorylated p38 induced by LL-37 stimulation in keratinocytes. NHEKs were stimulated with LL-37 and poly(I:C) alone or in combination in the presence or absence of WRW4 (a FPR2 inhibitor), and RT-PCR was performed. Fold changes in (<b>a</b>) <span class="html-italic">PTGS2</span>, (<b>b</b>) <span class="html-italic">VEGFA</span>, (<b>c</b>) <span class="html-italic">CXCL10</span>, and (<b>d</b>) <span class="html-italic">IFNB1</span> mRNA are shown. NHEKs were stimulated under the same conditions for 6 h, and culture supernatants were analyzed by ELISA. Protein concentrations of (<b>e</b>) VEGF-A and (<b>f</b>) CXCL-10 are indicated. RT-PCR was conducted by stimulating NHEKs with poly(I:C) and LL-37 alone or in combination in the presence or absence of Boc-MLF (a FPR1 inhibitor) or KN-62 (a P2X7R antagonist). Fold changes in (<b>g</b>) <span class="html-italic">PTGS2</span>, (<b>h</b>) <span class="html-italic">VEGFA</span>, (<b>i</b>) <span class="html-italic">CXCL10</span>, and (<b>j</b>) <span class="html-italic">IFNB1</span> mRNA are shown. (<b>k</b>) NHEKs were pretreated with WRW4 for 1 h or Pitstop 2 for 30 min and stimulated with LL-37 and then poly(I:C) 10 min later. Cells were collected after 30 min, and protein expressions of p-p38 and p38 were assessed by immunoblots. β-actin was used as a loading control. Data are means ± SEM of three biological replicates. NS, <span class="html-italic">p</span> &gt; 0.05, * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001 by two-way ANOVA with Bonferroni’s post hoc test. See also <a href="#app1-ijms-24-00875" class="html-app">Figure S2</a>.</p>
Full article ">Figure 2 Cont.
<p>The FPR2 inhibitor WRW4 inhibited the induction of <span class="html-italic">PTGS2</span>, <span class="html-italic">VEGFA</span>, and phosphorylated p38 induced by LL-37 stimulation in keratinocytes. NHEKs were stimulated with LL-37 and poly(I:C) alone or in combination in the presence or absence of WRW4 (a FPR2 inhibitor), and RT-PCR was performed. Fold changes in (<b>a</b>) <span class="html-italic">PTGS2</span>, (<b>b</b>) <span class="html-italic">VEGFA</span>, (<b>c</b>) <span class="html-italic">CXCL10</span>, and (<b>d</b>) <span class="html-italic">IFNB1</span> mRNA are shown. NHEKs were stimulated under the same conditions for 6 h, and culture supernatants were analyzed by ELISA. Protein concentrations of (<b>e</b>) VEGF-A and (<b>f</b>) CXCL-10 are indicated. RT-PCR was conducted by stimulating NHEKs with poly(I:C) and LL-37 alone or in combination in the presence or absence of Boc-MLF (a FPR1 inhibitor) or KN-62 (a P2X7R antagonist). Fold changes in (<b>g</b>) <span class="html-italic">PTGS2</span>, (<b>h</b>) <span class="html-italic">VEGFA</span>, (<b>i</b>) <span class="html-italic">CXCL10</span>, and (<b>j</b>) <span class="html-italic">IFNB1</span> mRNA are shown. (<b>k</b>) NHEKs were pretreated with WRW4 for 1 h or Pitstop 2 for 30 min and stimulated with LL-37 and then poly(I:C) 10 min later. Cells were collected after 30 min, and protein expressions of p-p38 and p38 were assessed by immunoblots. β-actin was used as a loading control. Data are means ± SEM of three biological replicates. NS, <span class="html-italic">p</span> &gt; 0.05, * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001 by two-way ANOVA with Bonferroni’s post hoc test. See also <a href="#app1-ijms-24-00875" class="html-app">Figure S2</a>.</p>
Full article ">Figure 2 Cont.
<p>The FPR2 inhibitor WRW4 inhibited the induction of <span class="html-italic">PTGS2</span>, <span class="html-italic">VEGFA</span>, and phosphorylated p38 induced by LL-37 stimulation in keratinocytes. NHEKs were stimulated with LL-37 and poly(I:C) alone or in combination in the presence or absence of WRW4 (a FPR2 inhibitor), and RT-PCR was performed. Fold changes in (<b>a</b>) <span class="html-italic">PTGS2</span>, (<b>b</b>) <span class="html-italic">VEGFA</span>, (<b>c</b>) <span class="html-italic">CXCL10</span>, and (<b>d</b>) <span class="html-italic">IFNB1</span> mRNA are shown. NHEKs were stimulated under the same conditions for 6 h, and culture supernatants were analyzed by ELISA. Protein concentrations of (<b>e</b>) VEGF-A and (<b>f</b>) CXCL-10 are indicated. RT-PCR was conducted by stimulating NHEKs with poly(I:C) and LL-37 alone or in combination in the presence or absence of Boc-MLF (a FPR1 inhibitor) or KN-62 (a P2X7R antagonist). Fold changes in (<b>g</b>) <span class="html-italic">PTGS2</span>, (<b>h</b>) <span class="html-italic">VEGFA</span>, (<b>i</b>) <span class="html-italic">CXCL10</span>, and (<b>j</b>) <span class="html-italic">IFNB1</span> mRNA are shown. (<b>k</b>) NHEKs were pretreated with WRW4 for 1 h or Pitstop 2 for 30 min and stimulated with LL-37 and then poly(I:C) 10 min later. Cells were collected after 30 min, and protein expressions of p-p38 and p38 were assessed by immunoblots. β-actin was used as a loading control. Data are means ± SEM of three biological replicates. NS, <span class="html-italic">p</span> &gt; 0.05, * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001 by two-way ANOVA with Bonferroni’s post hoc test. See also <a href="#app1-ijms-24-00875" class="html-app">Figure S2</a>.</p>
Full article ">Figure 3
<p>Stimulation by LL-37 alone or in combination with poly(I:C) in NHEKs is mediated by scavenger receptors. SCARA3 (SR-A3), SCARB1 (SR-B1), CD68 (SR-D1), OLR1 (SR-E1), AGER (SR-J1), and non-targeting pool siRNAs were transfected into NHEKs, and the cells were stimulated with LL-37, poly(I:C) or LL-37+poly(I:C) 2 days later. After 6 h of incubation, mRNA induction was evaluated by RT-PCR. The inductions of (<b>a</b>) <span class="html-italic">PTGS2</span>, (<b>b</b>) <span class="html-italic">VEGFA</span>, (<b>c</b>) <span class="html-italic">CXCL10,</span> (<b>d</b>) <span class="html-italic">IFNB1,</span> and (<b>e</b>) <span class="html-italic">TNFA</span> are shown, respectively. (<b>f</b>) PLA was performed for various scavenger receptors and LL-37. LL-37 was added to NHEKs, 10 min later poly(I:C) was added, and the cells were incubated at 4 °C for 1 h. Using antibodies against various scavenger receptors and LL-37, the proximity of each scavenger receptor and LL-37 was detected by fluorescence-based PLA as green fluorescent spots. Nuclei (blue) were counterstained with DAPI. Data are means ± SEM of three biological replicates. ** <span class="html-italic">p</span> ≤ 0.01, **** <span class="html-italic">p</span> ≤ 0.0001 by two-way ANOVA with Bonferroni’s post hoc test. See also <a href="#app1-ijms-24-00875" class="html-app">Figures S3 and S4</a>.</p>
Full article ">Figure 3 Cont.
<p>Stimulation by LL-37 alone or in combination with poly(I:C) in NHEKs is mediated by scavenger receptors. SCARA3 (SR-A3), SCARB1 (SR-B1), CD68 (SR-D1), OLR1 (SR-E1), AGER (SR-J1), and non-targeting pool siRNAs were transfected into NHEKs, and the cells were stimulated with LL-37, poly(I:C) or LL-37+poly(I:C) 2 days later. After 6 h of incubation, mRNA induction was evaluated by RT-PCR. The inductions of (<b>a</b>) <span class="html-italic">PTGS2</span>, (<b>b</b>) <span class="html-italic">VEGFA</span>, (<b>c</b>) <span class="html-italic">CXCL10,</span> (<b>d</b>) <span class="html-italic">IFNB1,</span> and (<b>e</b>) <span class="html-italic">TNFA</span> are shown, respectively. (<b>f</b>) PLA was performed for various scavenger receptors and LL-37. LL-37 was added to NHEKs, 10 min later poly(I:C) was added, and the cells were incubated at 4 °C for 1 h. Using antibodies against various scavenger receptors and LL-37, the proximity of each scavenger receptor and LL-37 was detected by fluorescence-based PLA as green fluorescent spots. Nuclei (blue) were counterstained with DAPI. Data are means ± SEM of three biological replicates. ** <span class="html-italic">p</span> ≤ 0.01, **** <span class="html-italic">p</span> ≤ 0.0001 by two-way ANOVA with Bonferroni’s post hoc test. See also <a href="#app1-ijms-24-00875" class="html-app">Figures S3 and S4</a>.</p>
Full article ">Figure 4
<p>Co-stimulation of LL-37 and poly(I:C) in NHEKs induced various cytokines via clathrin-dependent endocytosis. NHEKs were pretreated with Baf-A1 (an inhibitor of endosomal receptors including TLR3) for 1 h or Pitstop 2 (a clathrin-dependent endocytosis inhibitor) for 30 min, then stimulated with LL-37 and poly(I:C) alone or in combination. Relative mRNA expressions of (<b>a</b>) <span class="html-italic">CXCL10</span>, (<b>b</b>) <span class="html-italic">IFNB1</span>, (<b>c</b>) <span class="html-italic">TNFA</span>, (<b>d</b>) <span class="html-italic">DDX58</span>, (<b>e</b>) <span class="html-italic">PTGS2</span>, and (<b>f</b>) <span class="html-italic">VEGFA</span> were quantified by RT-PCR. NHEKs were stimulated under the same conditions, and the protein levels of (<b>g</b>) CXCL-10 and (<b>h</b>) TNF-α in culture supernatants were analyzed by ELISA. NHEKs were transfected with siRNAs of TLR3, MAVS, or a combination of TLR3 and MAVS, and stimulated with LL-37 and poly(I:C) 2 days later. Relative mRNA expressions of (<b>i</b>) <span class="html-italic">CXCL10</span>, (<b>j</b>) <span class="html-italic">IFNB1,</span> and (<b>k</b>) <span class="html-italic">TNFA</span> were quantified by RT-PCR. (<b>l</b>) NHEKs were pretreated with Pitstop 2 or WRW4 (an FPR2 inhibitor) and stimulated with poly(I:C) and LL-37, and 2 h later the cells were collected. Protein levels of p-IRF3, IRF3, p-TBK1, and TBK1 were evaluated by immunoblotting. β-actin was used as a loading control. Data are means ± SEM of three biological replicates. NS, <span class="html-italic">p</span> &gt; 0.05, * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001 by two-way ANOVA with Bonferroni’s post hoc test. See also <a href="#app1-ijms-24-00875" class="html-app">Figures S5 and S6</a>.</p>
Full article ">Figure 4 Cont.
<p>Co-stimulation of LL-37 and poly(I:C) in NHEKs induced various cytokines via clathrin-dependent endocytosis. NHEKs were pretreated with Baf-A1 (an inhibitor of endosomal receptors including TLR3) for 1 h or Pitstop 2 (a clathrin-dependent endocytosis inhibitor) for 30 min, then stimulated with LL-37 and poly(I:C) alone or in combination. Relative mRNA expressions of (<b>a</b>) <span class="html-italic">CXCL10</span>, (<b>b</b>) <span class="html-italic">IFNB1</span>, (<b>c</b>) <span class="html-italic">TNFA</span>, (<b>d</b>) <span class="html-italic">DDX58</span>, (<b>e</b>) <span class="html-italic">PTGS2</span>, and (<b>f</b>) <span class="html-italic">VEGFA</span> were quantified by RT-PCR. NHEKs were stimulated under the same conditions, and the protein levels of (<b>g</b>) CXCL-10 and (<b>h</b>) TNF-α in culture supernatants were analyzed by ELISA. NHEKs were transfected with siRNAs of TLR3, MAVS, or a combination of TLR3 and MAVS, and stimulated with LL-37 and poly(I:C) 2 days later. Relative mRNA expressions of (<b>i</b>) <span class="html-italic">CXCL10</span>, (<b>j</b>) <span class="html-italic">IFNB1,</span> and (<b>k</b>) <span class="html-italic">TNFA</span> were quantified by RT-PCR. (<b>l</b>) NHEKs were pretreated with Pitstop 2 or WRW4 (an FPR2 inhibitor) and stimulated with poly(I:C) and LL-37, and 2 h later the cells were collected. Protein levels of p-IRF3, IRF3, p-TBK1, and TBK1 were evaluated by immunoblotting. β-actin was used as a loading control. Data are means ± SEM of three biological replicates. NS, <span class="html-italic">p</span> &gt; 0.05, * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001 by two-way ANOVA with Bonferroni’s post hoc test. See also <a href="#app1-ijms-24-00875" class="html-app">Figures S5 and S6</a>.</p>
Full article ">Figure 4 Cont.
<p>Co-stimulation of LL-37 and poly(I:C) in NHEKs induced various cytokines via clathrin-dependent endocytosis. NHEKs were pretreated with Baf-A1 (an inhibitor of endosomal receptors including TLR3) for 1 h or Pitstop 2 (a clathrin-dependent endocytosis inhibitor) for 30 min, then stimulated with LL-37 and poly(I:C) alone or in combination. Relative mRNA expressions of (<b>a</b>) <span class="html-italic">CXCL10</span>, (<b>b</b>) <span class="html-italic">IFNB1</span>, (<b>c</b>) <span class="html-italic">TNFA</span>, (<b>d</b>) <span class="html-italic">DDX58</span>, (<b>e</b>) <span class="html-italic">PTGS2</span>, and (<b>f</b>) <span class="html-italic">VEGFA</span> were quantified by RT-PCR. NHEKs were stimulated under the same conditions, and the protein levels of (<b>g</b>) CXCL-10 and (<b>h</b>) TNF-α in culture supernatants were analyzed by ELISA. NHEKs were transfected with siRNAs of TLR3, MAVS, or a combination of TLR3 and MAVS, and stimulated with LL-37 and poly(I:C) 2 days later. Relative mRNA expressions of (<b>i</b>) <span class="html-italic">CXCL10</span>, (<b>j</b>) <span class="html-italic">IFNB1,</span> and (<b>k</b>) <span class="html-italic">TNFA</span> were quantified by RT-PCR. (<b>l</b>) NHEKs were pretreated with Pitstop 2 or WRW4 (an FPR2 inhibitor) and stimulated with poly(I:C) and LL-37, and 2 h later the cells were collected. Protein levels of p-IRF3, IRF3, p-TBK1, and TBK1 were evaluated by immunoblotting. β-actin was used as a loading control. Data are means ± SEM of three biological replicates. NS, <span class="html-italic">p</span> &gt; 0.05, * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001 by two-way ANOVA with Bonferroni’s post hoc test. See also <a href="#app1-ijms-24-00875" class="html-app">Figures S5 and S6</a>.</p>
Full article ">
12 pages, 2391 KiB  
Article
Conjugated Linoleic Acids Have Anti-Inflammatory Effects in Cultured Endothelial Cells
by Carina A. Valenzuela, Ella J. Baker, Elizabeth A. Miles and Philip C. Calder
Int. J. Mol. Sci. 2023, 24(1), 874; https://doi.org/10.3390/ijms24010874 - 3 Jan 2023
Cited by 5 | Viewed by 2203
Abstract
Conjugated linoleic acid (CLA) isomers may have a role in preventing atherosclerosis through the modulation of inflammation, particularly of the endothelium. However, whether low concentrations of CLAs are able to affect basal unstimulated endothelial cell (EC) responses is not clear. The aim of [...] Read more.
Conjugated linoleic acid (CLA) isomers may have a role in preventing atherosclerosis through the modulation of inflammation, particularly of the endothelium. However, whether low concentrations of CLAs are able to affect basal unstimulated endothelial cell (EC) responses is not clear. The aim of this study was to evaluate the effects of two CLAs (cis-9, trans-11 (CLA9,11) and trans-10, cis-12 (CLA10,12)) on the basal inflammatory responses by ECs. EA.hy926 cells (HUVEC lineage) were cultured under standard conditions and exposed to individual CLAs for 48 h. Both CLAs were incorporated into ECs in a dose-dependent manner. CLA9,11 (1 μM) significantly decreased concentrations of MCP-1 (p < 0.05), IL-6 (p < 0.05), IL-8 (p < 0.01) and RANTES (p < 0.05) in the culture medium. CLA10,12 (10 μM) decreased the concentrations of MCP-1 (p < 0.05) and RANTES (p < 0.05) but increased the concentration of IL-6 (p < 0.001). At 10 μM both CLAs increased the relative expression of the NFκβ subunit 1 gene (p < 0.01 and p < 0.05, respectively), while decreasing the relative expression of PPARα (p < 0.0001), COX-2 (p < 0.0001) and IL-6 (p < 0.0001) genes. CLA10,12 increased the relative expression of the gene encoding IκK-β at 10 μM compared with CLA9,11 (p < 0.05) and increased the relative expression of the gene encoding IκBα at 1 and 10 μM compared with linoleic acid (both p < 0.05). Neither CLA affected the adhesion of monocytes to ECs. These results suggest that low concentrations of both CLA9,11 and CLA10,12 have modest anti-inflammatory effects in ECs. Thus, CLAs may influence endothelial function and the risk of vascular disease. Nevertheless, at these low CLA concentrations some pro-inflammatory genes are upregulated while others are downregulated, suggesting complex effects of CLAs on inflammatory pathways. Full article
Show Figures

Figure 1

Figure 1
<p>(<b>A</b>) Viability of EA.hy926 cells after preincubation for 48 h with medium a containing 0.1% of ethanol (Control) or different concentrations (1, 10 or 50 µM) of linoleic acid (LA), <span class="html-italic">cis</span>-9, <span class="html-italic">trans</span>-11 linoleic acid (CLA9,11) or <span class="html-italic">trans</span>-10, <span class="html-italic">cis</span>-12 linoleic acid (CLA10,12) followed by incubation with a medium without fatty acids for 24 h. Bars are mean ± SD of 9 samples from 3 experiments. Data were analysed using one-way ANOVA with Tukey’s post hoc test. **** <span class="html-italic">p</span> &lt; 0.0001 vs. Control. (<b>B</b>,<b>C</b>) Microscope images of EA.hy926 cells incubated with medium containing 0.1% ethanol (<b>B</b>) or containing <span class="html-italic">trans</span>-10, <span class="html-italic">cis</span>-12 linoleic acid at 50 µM (<b>C</b>).</p>
Full article ">Figure 2
<p>Concentrations (% of control) of MCP-1 (<b>A</b>), ICAM-1 (<b>B</b>), IL-6 (<b>C</b>), IL-8 (<b>D</b>) and RANTES (<b>E</b>) in the medium of EA.hy926 cells incubated for 48 h with medium containing 0.1% of ethanol (Control) or fatty acid at 1 or 10 µM, followed by incubation with a medium without fatty acids for 24 h. Bars are mean ± SD of 9 samples from 3 experiments. Data were analysed using the one-way ANOVA with Tukey’s post hoc test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001; where asterisks are shown immediately above a bar they refer to the difference from the control and where asterisks are shown above a horizontal line they refer to the differences between the two groups indicated by that line. LA, linoleic acid; CLA9,11, <span class="html-italic">cis</span>-9, <span class="html-italic">trans</span>-11 linoleic acid; CLA10,12, <span class="html-italic">trans</span>-10, <span class="html-italic">cis</span>-12 linoleic acid.</p>
Full article ">Figure 3
<p>Expression of <span class="html-italic">NFκB1</span> (<b>A</b>), <span class="html-italic">NFκBIA</span> (for IκBα, (<b>B</b>)), IκBKB (for IκK-β, (<b>C</b>)), <span class="html-italic">PPPAR-α</span> (<b>D</b>), <span class="html-italic">PTGS2</span> (for COX-2, (<b>E</b>)) and <span class="html-italic">IL-6</span> (<b>F</b>) genes in EA.hy926 cells preincubated for 48 h with 1 or 10 µM of fatty acid in a medium containing 0.1% of ethanol (Control) followed by incubation with a medium without fatty acids for 6 h. Cq values were normalized by the geometric mean of reference targets (YWHAZ and RPL13A genes). Bars are mean ± SD of 9 samples from 3 experiments. Data were analysed using the one-way ANOVA with Tukey’s post hoc test. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001; where asterisks are shown immediately above a bar they refer to the difference from the control and where asterisks are shown above a horizontal line they refer to the differences between the two groups indicated by that line. LA, linoleic acid; CLA9,11, <span class="html-italic">cis</span>-9, <span class="html-italic">trans</span>-11 linoleic acid; CLA10,12, <span class="html-italic">trans</span>-10, <span class="html-italic">cis</span>-12 linoleic acid.</p>
Full article ">Figure 4
<p>Adhesion of THP-1 cells (% of control) to EA.hy926 cells incubated for 48 h with a medium containing 0.1% of ethanol (Control) or different concentrations (1 µM (<b>A</b>), 10 µM (<b>B</b>)) of fatty acid, followed by incubation with a medium without fatty acids for 6 h and then 1 h co-incubation with THP-1 cells. Bars are mean ± SD of 9 samples from 3 experiments. Data were analysed using the one-way ANOVA with Tukey post hoc test. ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001; where asterisks are shown immediately above a bar they refer to the difference from the control and where asterisks are shown above a horizontal line they refer to the differences between the two groups indicated by that line. LA, linoleic acid; CLA9,11, <span class="html-italic">cis</span>-9, <span class="html-italic">trans</span>-11 linoleic acid; CLA10,12, <span class="html-italic">trans</span>-10, <span class="html-italic">cis</span>-12 linoleic acid.</p>
Full article ">Figure 5
<p>Images of THP-1 cell adhesion to EA.hy926 cells. Adhesion of THP-1 cells to EA.hy926 cells without pre-incubation with fatty acid (control (<b>A</b>)) or with 48 h prior exposure to 10 µM linoleic acid (<b>B</b>), <span class="html-italic">cis</span>-9, <span class="html-italic">trans</span>-11 linoleic acid (<b>C</b>), <span class="html-italic">trans</span>-10, <span class="html-italic">cis</span>-12 linoleic acid (<b>D</b>), followed by incubation with a medium without fatty acids for 6 h and then 1 h co-incubation with calcein-labelled THP-1 cells. Attached THP-1 cells were visualised by fluorescence microscopy (Nikon Elipse Ti) at a magnification of 100× under transmitted light.</p>
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16 pages, 3510 KiB  
Article
Genome-Wide Association Studies of Seven Root Traits in Soybean (Glycine max L.) Landraces
by Seong-Hoon Kim, Rupesh Tayade, Byeong-Hee Kang, Bum-Soo Hahn, Bo-Keun Ha and Yoon-Ha Kim
Int. J. Mol. Sci. 2023, 24(1), 873; https://doi.org/10.3390/ijms24010873 - 3 Jan 2023
Cited by 6 | Viewed by 3746
Abstract
Soybean [Glycine max (L.) Merr.], an important oilseed crop, is a low-cost source of protein and oil. In Southeast Asia and Africa, soybeans are widely cultivated for use as traditional food and feed and industrial purposes. Given the ongoing changes in global [...] Read more.
Soybean [Glycine max (L.) Merr.], an important oilseed crop, is a low-cost source of protein and oil. In Southeast Asia and Africa, soybeans are widely cultivated for use as traditional food and feed and industrial purposes. Given the ongoing changes in global climate, developing crops that are resistant to climatic extremes and produce viable yields under predicted climatic conditions will be essential in the coming decades. To develop such crops, it will be necessary to gain a thorough understanding of the genetic basis of agronomic and plant root traits. As plant roots generally lie beneath the soil surface, detailed observations and phenotyping throughout plant development present several challenges, and thus the associated traits have tended to be ignored in genomics studies. In this study, we phenotyped 357 soybean landraces at the early vegetative (V2) growth stages and used a 180 K single-nucleotide polymorphism (SNP) soybean array in a genome-wide association study (GWAS) conducted to determine the phenotypic relationships among root traits, elucidate the genetic bases, and identify significant SNPs associated with root trait-controlling genomic regions/loci. A total of 112 significant SNP loci/regions were detected for seven root traits, and we identified 55 putative candidate genes considered to be the most promising. Our findings in this study indicate that a combined approach based on SNP array and GWAS analyses can be applied to unravel the genetic basis of complex root traits in soybean, and may provide an alternative high-resolution marker strategy to traditional bi-parental mapping. In addition, the identified SNPs, candidate genes, and diverse variations in the root traits of soybean landraces will serve as a valuable basis for further application in genetic studies and the breeding of climate-resilient soybeans characterized by improved root traits. Full article
(This article belongs to the Special Issue Comparative Genomics and Functional Genomics Analysis in Plants)
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<p>Population structure of 357 soybean landraces. (<b>A</b>) A bar plot diagram showing the results of clustering analysis when the number of subgroups (K) = 3. The colors blue, green, and red represent separate groups with different levels of admixture. (<b>B</b>) A phylogenetic tree of 357 soybean landraces. (<b>C</b>) Principal component plot for the 357 soybean landraces. (<b>D</b>) Genome-wide linkage disequilibrium (LD) decay for all 357 soybean landraces. <span class="html-italic">R</span><sup>2</sup> indicates the squared allele frequency correlations between all pairs of SNP markers. The <span class="html-italic">X</span>-axis indicates the distance between marker pairs.</p>
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<p>Manhattan and quantile-quantile (QQ) plots of the 357 soybean landraces using the MLM model. (<b>A</b>) Root average diameter (DIAM) and (<b>B</b>) link average diameter (LAD). The <span class="html-italic">X</span>-axis represents the chromosome number, and the Y-axis represents the −<span class="html-italic">log<sub>10</sub>p</span>) value. The threshold of 4.0 (Bonferroni correction) was adopted with the blue line in the Manhattan plots. The Manhattan and QQ plots are based on analyses of the association between 84,210 chromosomal SNPs and DIAM and LAD traits.</p>
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<p>Manhattan and quantile-quantile (QQ) plots of the 357 soybean landraces using the MLM model. (<b>A</b>) Link average length (LAL) and (<b>B</b>) total root length (LENGTH). The X-axis represents the chromosome number and the Y-axis represents the <span class="html-italic">−log10</span>(<span class="html-italic">p</span>) value. The threshold of 4.0 (Bonferroni correction) was adopted with the blue line in the Manhattan plots. The Manhattan and QQ plots are based on analyses of the associations between 84,210 chromosomal SNPs and DIAM and LAD traits.</p>
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<p>Manhattan and quantile-quantile (QQ) plots of the 357 soybean landraces using the MLM model. (<b>A</b>) Number of root forks (NF), (<b>B</b>) number of root tips (NT), and (<b>C</b>) root surface area (SA). The X-axis represents the chromosome number and the Y-axis represents the <span class="html-italic">−log10</span>(<span class="html-italic">p</span>) value. The threshold of 4.0 (Bonferroni correction) was adopted with the blue line in the Manhattan plots. The Manhattan plot and QQ plot is based on the association of 84,210 chromosomal SNPs with DIAM and LAD traits.</p>
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19 pages, 4144 KiB  
Article
Topographically Distinguished Microbiome Taxonomy and Stress-Response Genes of Royal Belum Rainforest and Raja Muda Musa Peat Swamp Revealed through Metagenomic Inquisition
by Mohd Fadzli Ahmad, Hasdianty Abdullah, Muhammad Naim Hassan, Muhammad Imran Jamaludin, Ashvini Sivam, Kazuhiro Komatsu, Irni Suhayu Sapian, Halimah Alias, Mohd Noor Mat Isa, Victor S. Kuwahara and Nor Suhaila Yaacob
Int. J. Mol. Sci. 2023, 24(1), 872; https://doi.org/10.3390/ijms24010872 - 3 Jan 2023
Cited by 2 | Viewed by 2830
Abstract
Soil ecosystems are home to a diverse range of microorganisms, but they are only partially understood because no single-cell sequencing or whole-community sequencing provides a complete picture of these complex communities. Using one of such metagenomics approaches, we succeeded in monitoring the microbial [...] Read more.
Soil ecosystems are home to a diverse range of microorganisms, but they are only partially understood because no single-cell sequencing or whole-community sequencing provides a complete picture of these complex communities. Using one of such metagenomics approaches, we succeeded in monitoring the microbial diversity and stress-response gene in the soil samples. This study aims to test whether known differences in taxonomic diversity and composition are reflected in functional gene profiles by implementing whole gene sequencing (WGS) metagenomic analysis of geographically dispersed soils from two distinct pristine forests. The study was commenced by sequencing three rainforest soil samples and three peat swamp soil samples. Soil richness effects were assessed by exploring the changes in specific functional gene abundances to elucidate physiological constraints acting on different soil systems and identify variance in functional pathways relevant to soil biogeochemical cycling. Proteobacteria shows abundances of microbial diversity for 52.15% in Royal Belum Reserved Forest and 48.28% in Raja Musa; 177 out of 1,391,841 and 449 out of 3,586,577 protein coding represent acidic stress-response genes for Royal Belum and Raja Musa, respectively. Raja Musa indicates pH 2.5, which is extremely acidic. The analysis of the taxonomic community showed that Royal Belum soils are dominated by bacteria (98% in Sungai Kooi (SK), 98% in Sungai Papan (SP), and 98% in Sungai Ruok (SR), Archaea (0.9% in SK, 0.9% in SP, and 1% in SR), and the remaining were classed under Eukaryota and viruses. Likewise, the soils of Raja Muda Musa are also dominated by bacteria (95% in Raja Musa 1 (RM1), 98% in Raja Musa 2 (RM2), and 96% in Raja Musa 3 (RM3)), followed by Archaea (4% in RM1, 1% in RM2, and 3% in RM3), and the remaining were classed under Eukaryota and viruses. This study revealed that RBFR (Royal Belum Foresr Reserve) and RMFR (Raja Musa Forest Reserve) metagenomes contained abundant stress-related genes assigned to various stress-response pathways, many of which did not show any difference among samples from both sites. Our findings indicate that the structure and functional potential of the microbial community will be altered by future environmental potential as the first glimpse of both the taxonomic and functional composition of soil microbial communities. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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<p>Microbial community domain in Royal Belum and Raja Musa soils generated with MGRAST.</p>
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<p>(<b>A</b>) Metagenome profiling of total soil bacteriota isolated from RBFR (SK, SP, and SR) based on Krona RSF display. The frequencies of each phylum are presented and reveal the protebacteria as the dominating phylum in all studied sites. (<b>B</b>) Metagenome profiling of total soil bacteriota isolated from RMFR (RM1, RM2, and RM3) based on Krona RSF display. The frequencies of each phylum are presented and reveal the <span class="html-italic">protebacteria</span> as the dominating phylum in all studied sites.</p>
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<p>(<b>A</b>) Metagenome profiling of total soil bacteriota isolated from RBFR (SK, SP, and SR) based on Krona RSF display. The frequencies of each phylum are presented and reveal the protebacteria as the dominating phylum in all studied sites. (<b>B</b>) Metagenome profiling of total soil bacteriota isolated from RMFR (RM1, RM2, and RM3) based on Krona RSF display. The frequencies of each phylum are presented and reveal the <span class="html-italic">protebacteria</span> as the dominating phylum in all studied sites.</p>
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<p><span class="html-italic">Proteobacteria</span> class compositions (abundance matric) of the Royal Belum (SK, SP, and SR) and Raja Muda Musa (RM1, RM2, and RM3) metagenomes as determined by the WGS Shotgun. Taxonomic assignments were performed using MgRast.</p>
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<p>Comparison of pH among samples taken from Royal Belum Reserved Forest and Raja Muda Musa Peat Swamp Reserved Forest.</p>
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<p>Gene abundances involved in the microbial-degradation pathways of stress response by the WGS Shotgun. Taxonomic assignments for the Royal Belum (SK, SP, and SR) and Raja Muda Musa (RM1, RM2, and RM3) metagenomes were performed using MgRast.</p>
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<p>Gene abundances involved in the microbial-degradation pathways of acidic stress-response mechanisms by the WGS Shotgun. Taxonomic assignments for the Royal Belum (SK, SP, and SR) and Raja Muda Musa (RM1, RM2, and RM3) metagenomes were performed using MgRast.</p>
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<p>(<b>A</b>,<b>B</b>) Microbial community compositions of the Royal Belum and Raja Muda Musa soil metagenomes related to acid stress-response genes.</p>
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<p>(<b>A</b>,<b>B</b>) Microbial community compositions of the Royal Belum and Raja Muda Musa soil metagenomes related to acid stress-response genes.</p>
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<p>The coordinates and elevation for Royal Belum Reserved Forest sampling sites SK, SP, and SR, and Raja Muda Musa Peat Swamp Reserved Forest sampling sites RM 1, RM2, and RM 3.</p>
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13 pages, 62543 KiB  
Communication
Microglia in Cultured Porcine Retina: Qualitative Immunohistochemical Analyses of Reactive Microglia in the Outer Retina
by Kjell Johansson and Camilla Mohlin
Int. J. Mol. Sci. 2023, 24(1), 871; https://doi.org/10.3390/ijms24010871 - 3 Jan 2023
Viewed by 2123
Abstract
A late stage of several retinal disorders is retinal detachment, a complication that results in rapid photoreceptor degeneration and synaptic damages. Experimental retinal detachment in vivo is an invasive and complicated method performed on anesthetized animals. As retinal detachment may result in visual [...] Read more.
A late stage of several retinal disorders is retinal detachment, a complication that results in rapid photoreceptor degeneration and synaptic damages. Experimental retinal detachment in vivo is an invasive and complicated method performed on anesthetized animals. As retinal detachment may result in visual impairment and blindness, research is of fundamental importance for understanding degenerative processes. Both morphological and ethical issues make the porcine retina a favorable organotypic model for studies of the degenerative processes that follow retinal detachment. In the cultured retina, photoreceptor degeneration and synaptic injuries develop rapidly and correlate with resident microglial cells’ transition into a reactive phenotype. In this immunohistochemical study, we have begun to analyze the transition of subsets of reactive microglia which are known to localize close to the outer plexiform layer (OPL) in degenerating in vivo and in vitro retina. Biomarkers for reactive microglia included P2Ry12, CD63 and CD68 and the general microglial markers were CD11b, Iba1 and isolectin B4 (IB4). The reactive microglia markers labeled microglia subpopulations, suggesting that protective or harmful reactive microglia may be present simultaneously in the injured retina. Our findings support the usage of porcine retina cultures for studies of photoreceptor injuries related to retinal detachment. Full article
(This article belongs to the Special Issue Advanced Research in Retina)
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<p>Confocal stacks (<b>A</b>,<b>B</b>) and fluorescence micrographs (<b>C</b>) of normal and 5 DIV retinas. (<b>A</b>) In normal healthy retina, Iba1 immunoreactive microglia (green: large arrows) localize to the IPL and project long, thin processes that finally arborize along the inner aspect (small arrows) of the PSD immunoreactive photoreceptor terminals (red) in the OPL. At 5 DIV (<b>C</b>), retinas CD11b immunoreactive microglia (green) are evident at the IPL (large arrows), close to photoreceptor terminals in the OPL (small arrows). Thick CD11b immunoreactive processes localize close to or within the OPL (small arrows). (<b>C</b>) 5 DIV retina with IB<sub>4</sub> labeled microglial cell bodies (large arrows) localized in the outer retina. Note also labeled degenerating capillaries (small arrows). DAPI counterstaining in (<b>A</b>,<b>B</b>). Abbreviations. GCL ganglion cell layer; INL inner nuclear layer; IPL inner plexiform layer; ONL outer nuclear layer; OPL outer plexiform layer; OS outer segments. Scale (<b>A</b>–<b>C</b>) 10 µm.</p>
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<p>Confocal stacks (<b>F</b>,<b>G</b>) and fluorescence micrographs (<b>A</b>–<b>E</b>,<b>H</b>) showing P2Ry12 immunoreactivity (green) in normal and 5 DIV retina. Calbindin or PSD95 immunoreactivity (red) indicate the OPL. (<b>A</b>,<b>B</b>) P2Ry12 immunoreactivity is mainly evident in the inner parts of Müller cells. (<b>C</b>,<b>E</b>,<b>F</b>) Colabeling with calbindin shows that P2Ry12 immunoreactivity distributes close to horizontal cell processes at 5 DIV. (<b>E</b>) Structures resembling cone photoreceptor terminals occasionally expressed P2Ry12 immunoreactivity. (<b>D</b>,<b>G</b>) Juxtaposed P2Ry12 and PSD95 immunoreactivities in the OPL (yellowish hue in (<b>D</b>)). (<b>H</b>) P2Ry12 immunoreactive microglial cells (arrow) and processes in the PSD95 labeled OPL. Abbreviations as in <a href="#ijms-24-00871-f001" class="html-fig">Figure 1</a>. Scale (<b>A</b>–<b>H</b>) 10 μm.</p>
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<p>Confocal stacks (<b>C</b>) and fluorescence micrographs (<b>A</b>,<b>B</b>,<b>D</b>) showing CD63 immunoreactivity (green) in normal and 5 DIV retina. Calbindin immunoreactivity and IB<sub>4</sub> labeling (red) indicate horizontal and microglial cells, respectively. (<b>A</b>) Dotted CD63 immunoreactivity is evident in Müller cells in healthy retina. (<b>B</b>) IB<sub>4</sub>-labeled microglia close to the OPL with perinuclear CD63 immunoreactivity (large arrow). Note the presence of CD immunoreactive cell without IB<sub>4</sub> labeling (small arrow). (<b>C</b>,<b>D</b>) High magnification of the OPL showing perinuclear CD63 immunoreactivity (arrows in <b>C</b>) and in IB<sub>4</sub>-labeled microglia (<b>D</b>). Note also labeled capillary (asterisk in (<b>D</b>)). (<b>E</b>) CD63 vesicular immunoreactivity in presumptive microglia (arrows) in ONL. Abbreviations as in <a href="#ijms-24-00871-f001" class="html-fig">Figure 1</a>. Scale (<b>A</b>–<b>E</b>) 10 μm.</p>
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<p>Confocal stacks (<b>A</b>,<b>C</b>) and fluorescence micrographs (<b>B</b>,<b>D</b>) showing CD68 immunoreactivity (red) and CD11b immunoreactive microglia (green). Confocal stacks (<b>E</b>,<b>F</b>) showing CD68 immunoreactivity (red) in Iba1 immunoreactive microglia (green). (<b>A</b>,<b>C</b>) Vesicular CD 68 immunoreactivity in low and high magnification in the ONL of 5 DIV retina. (<b>B</b>,<b>D</b>) Perinuclear CD68 in a CD11b immunoreactive microglia close to the OPL. (<b>D</b>) CD68 immunoreactivity in microglial cell body (asterisk) and process (small arrows in <b>B</b>,<b>D</b>). (<b>E</b>,<b>F</b>) CD68 immunoreactivity in large strongly Iba1 immunoreactive microglial cell and processes (small arrows in (<b>E</b>,<b>F</b>)). Note also small microglia cell body (large arrows in <b>E</b>,<b>F</b>) displaying weak CD68 and Iba1 immunoreactivities. Abbreviations as in <a href="#ijms-24-00871-f001" class="html-fig">Figure 1</a>. Scale (<b>A</b>–<b>F</b>) 10 µm.</p>
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12 pages, 3642 KiB  
Article
Exploring the Potential Energy Surface of Pt6 Sub-Nano Clusters Deposited over Graphene
by Daniel Barrena-Espés, Sergio Boneta, Victor Polo and Julen Munárriz
Int. J. Mol. Sci. 2023, 24(1), 870; https://doi.org/10.3390/ijms24010870 - 3 Jan 2023
Cited by 1 | Viewed by 1827
Abstract
Catalytic systems based on sub-nanoclusters deposited over different supports are promising for very relevant chemical transformations such as many electrocatalytic processes as the ORR. These systems have been demonstrated to be very fluxional, as they are able to change shape and interconvert between [...] Read more.
Catalytic systems based on sub-nanoclusters deposited over different supports are promising for very relevant chemical transformations such as many electrocatalytic processes as the ORR. These systems have been demonstrated to be very fluxional, as they are able to change shape and interconvert between each other either alone or in the presence of adsorbates. In addition, an accurate representation of their catalytic activity requires the consideration of ensemble effects and not a single structure alone. In this sense, a reliable theoretical methodology should assure an accurate and extensive exploration of the potential energy surface to include all the relevant structures and with correct relative energies. In this context, we applied DFT in conjunction with global optimization techniques to obtain and analyze the characteristics of the many local minima of Pt6 sub-nanoclusters over a carbon-based support (graphene)—a system with electrocatalytic relevance. We also analyzed the magnetism and the charge transfer between the clusters and the support and paid special attention to the dependence of dispersion effects on the ensemble characteristics. We found that the ensembles computed with and without dispersion corrections are qualitatively similar, especially for the lowest-in-energy clusters, which we attribute to a (mainly) covalent binding to the surface. However, there are some significant variations in the relative stability of some clusters, which would significantly affect their population in the ensemble composition. Full article
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<p>Frontal and schematic top views for the fifteen lowest-in-energy local minimum for Pt<sub>6</sub>/graphene optimized with dispersion-corrected DFT. ΔE corresponds to the energy difference with respect to the GM; the total magnetic moment of the system (per unit cell) is provided in Bohr magnetons. The green dots correspond to the Pt atoms at the top, while the black crosses correspond to the atoms at the bottom.</p>
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<p>Spin density, total and individual atomic magnetic moments, and energy different for the two low-lying spin states of Pt<sub>6</sub>-I. Note that α spin density is shown in light blue and β spin density in light pink (isovalue = 0.03 au).</p>
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<p>Bader charges in (in au) for relevant atoms of the GM (Pt<sub>6</sub>-I). Positive charges are depicted in.</p>
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<p>Frontal view for the ten lowest-in-energy local minimum for Pt<sub>6</sub>/graphene optimized without dispersion corrections. ΔE corresponds to the energy difference with respect to the GM; the total magnetic moment of the system (per unit cell) is provided in Bohr magnetons.</p>
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22 pages, 5017 KiB  
Article
Fluoroplast Doped by Ag2O Nanoparticles as New Repairing Non-Cytotoxic Antibacterial Coating for Meat Industry
by Sergey V. Gudkov, Ruibin Li, Dmitriy A. Serov, Dmitriy E. Burmistrov, Ilya V. Baimler, Alexey S. Baryshev, Alexander V. Simakin, Oleg V. Uvarov, Maxim E. Astashev, Natalia B. Nefedova, Sergey Y. Smolentsev, Andrey V. Onegov, Mikhail A. Sevostyanov, Alexey G. Kolmakov, Mikhail A. Kaplan, Andrey Drozdov, Eteri R. Tolordava, Anastasia A. Semenova, Andrey B. Lisitsyn and Vasily N. Lednev
Int. J. Mol. Sci. 2023, 24(1), 869; https://doi.org/10.3390/ijms24010869 - 3 Jan 2023
Cited by 6 | Viewed by 3494
Abstract
Foodborne infections are an important global health problem due to their high prevalence and potential for severe complications. Bacterial contamination of meat during processing at the enterprise can be a source of foodborne infections. Polymeric coatings with antibacterial properties can be applied to [...] Read more.
Foodborne infections are an important global health problem due to their high prevalence and potential for severe complications. Bacterial contamination of meat during processing at the enterprise can be a source of foodborne infections. Polymeric coatings with antibacterial properties can be applied to prevent bacterial contamination. A composite coating based on fluoroplast and Ag2O NPs can serve as such a coating. In present study, we, for the first time, created a composite coating based on fluoroplast and Ag2O NPs. Using laser ablation in water, we obtained spherical Ag2O NPs with an average size of 45 nm and a ζ-potential of −32 mV. The resulting Ag2O NPs at concentrations of 0.001–0.1% were transferred into acetone and mixed with a fluoroplast-based varnish. The developed coating made it possible to completely eliminate damage to a Teflon cutting board. The fluoroplast/Ag2O NP coating was free of defects and inhomogeneities at the nano level. The fluoroplast/Ag2O NP composite increased the production of ROS (H2O2, OH radical), 8-oxogualnine in DNA in vitro, and long-lived active forms of proteins. The effect depended on the mass fraction of the added Ag2O NPs. The 0.01–0.1% fluoroplast/NP Ag2O coating exhibited excellent bacteriostatic and bactericidal properties against both Gram-positive and Gram-negative bacteria but did not affect the viability of eukaryotic cells. The developed PTFE/NP Ag2O 0.01–0.1% coating can be used to protect cutting boards from bacterial contamination in the meat processing industry. Full article
(This article belongs to the Special Issue Biopolymers as Nanoparticles Carriers)
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<p>Main characteristics of Ag<sub>2</sub>O NPs: (<b>a</b>) Size distribution of NPs obtained by DLS (blue line) and CPS (black line). (<b>b</b>) NP distribution over the ζ-potential obtained by the ELS method. (<b>c</b>) Absorption spectrum from the UV–vis region of the NP colloid. (<b>d</b>) TEM photograph of the obtained NPs. Scale bar: 100 nm.</p>
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<p>Photographs of a section of a Teflon (PTFE) cutting board with damage before coating (<b>a</b>) and after the application and drying of the PTFE/Ag<sub>2</sub>O-NPs 0.1% composite coating (<b>b</b>).</p>
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<p>Investigation of the microrelief of a composite material using the AFM method: 3D reconstruction of the surface of a PTFE coating without NPs (<b>a</b>) and with the addition of 0.1% Ag<sub>2</sub>O NPs (<b>c</b>); examples of the results of a quantitative assessment of the surface inhomogeneity of a PTFE coating without NPs (<b>b</b>) and with the addition of 0.1% Ag<sub>2</sub>O NPs (<b>d</b>).</p>
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<p>The results of the analysis of the fluoroplast/Ag<sub>2</sub>O NPs composite coating by MIM method: (<b>a</b>) PTFE without the addition of nanoparticles; (<b>b</b>) PTFE with the addition of 0.001% Fe<sub>2</sub>O<sub>3</sub> nanoparticles; (<b>c</b>) PTFE with the addition of 0.01% Fe<sub>2</sub>O<sub>3</sub> nanoparticles; (<b>d</b>) PTFE with the addition of 0.1% Fe<sub>2</sub>O<sub>3</sub> nanoparticles. The images are presented as 3D reconstructions, where the abscissa and ordinate axes correspond to the real distance in μm. The Oz axis displays the phase difference in nm (the larger the phase difference, the higher the value on the Oz axis). Coloring is a pseudo color. The initial data on the spatial distribution of the phase difference in the analyzed sample, used to construct 3D reconstructions, are shown in the lower left corners of each panel.</p>
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<p>ROS generation in the presence of fluoroplast/Ag<sub>2</sub>O NPs composite coating: (<b>a</b>) generation of hydrogen peroxide (2 h, 40 °C); (<b>b</b>) generation of hydroxyl radicals (2 h, 80 °C). Data are presented as Mean ± SE. * <span class="html-italic">p</span> &lt; 0.05, Mann–Whitney test (<span class="html-italic">n</span> = 3).</p>
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<p>Generation of DNA and protein oxidative damage markers in the presence of fluoroplast/Ag<sub>2</sub>O NPs composite coating: (<b>a</b>) generation of 8-oxoguanine in DNA in vitro (2 h, 45 °C); (<b>b</b>) LRPS generation (2 h, 40 °C). Data are presented as mean ± SE. * <span class="html-italic">p</span> &lt; 0.05, Mann–Whitney test (<span class="html-italic">n</span> = 3). 8-OG-8-oxoguanine.</p>
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<p>Evaluation of the bacteriostatic effect of a composite material based on fluoroplasts and Ag<sub>2</sub>O NPs against Gram-positive bacteria <span class="html-italic">Listeria monocytogenes</span> (<b>a</b>) and <span class="html-italic">Staphylococcus aureus</span> (<b>c</b>) and Gram-negative <span class="html-italic">Pseudomonas aeruginosa</span> (<b>b</b>) and <span class="html-italic">Salmonella typhimurium</span> (<b>d</b>) after 6 and 18 h of cultivation. Results are presented as mean ± SE (<span class="html-italic">n</span> = 3).</p>
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<p>Evaluation of the survival of <span class="html-italic">P. aeruginosa</span> on uncoated samples (<b>a</b>), on PTFE without NPs (<b>b</b>), and on the composite coating of fluoroplast/NP Ag<sub>2</sub>O 0.1% (<b>c</b>). Living cells are colored green, dead cells red. Magnification ×400.</p>
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<p>Influence of composite coating fluoroplast/Ag<sub>2</sub>O NPs on the growth of mouse fibroblasts in vitro after 72 h of cultivation. (<b>a</b>) An example of a photomicrograph of cells growing on the surface of a composite coating of fluoroplast/NP Ag<sub>2</sub>O 0.1% (merge: blue-Hoechst, red-PI, transmitted light-gray). (<b>b</b>) proportion of non-viable cells. (<b>c</b>) Density of cell cultures. (<b>d</b>) Mean nuclear area. *: statistically significant difference compared to the “Control” group (<span class="html-italic">p</span> &lt; 0.05). Data are presented as mean ± standard error of the mean.</p>
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15 pages, 3974 KiB  
Article
Integrative Proteome Analysis Revels 3-Hydroxybutyrate Exerts Neuroprotective Effect by Influencing Chromatin Bivalency
by Xin-Liang Zhu, Huan Du, Lei-Lei Wang, Er-Ling Hu, Ning Li, Hai-Xia Lu, Guo-Qiang Chen and Xiao-Yun Lu
Int. J. Mol. Sci. 2023, 24(1), 868; https://doi.org/10.3390/ijms24010868 - 3 Jan 2023
Cited by 1 | Viewed by 2473
Abstract
3-hydroxybutyrate (3OHB) has been proved to act as a neuroprotective molecule in multiple neurodegenerative diseases. Here, we employed a quantitative proteomics approach to assess the changes of the global protein expression pattern of neural cells upon 3OHB administration. In combination with a disease-related, [...] Read more.
3-hydroxybutyrate (3OHB) has been proved to act as a neuroprotective molecule in multiple neurodegenerative diseases. Here, we employed a quantitative proteomics approach to assess the changes of the global protein expression pattern of neural cells upon 3OHB administration. In combination with a disease-related, protein-protein interaction network we pinpointed a hub marker, histone lysine 27 trimethylation, which is one of the key epigenetic markers in multiple neurodegenerative diseases. Integrative analysis of transcriptomic and epigenomic datasets highlighted the involvement of bivalent transcription factors in 3OHB-mediated disease protection and its alteration of neuronal development processes. Transcriptomic profiling revealed that 3OHB impaired the fate decision process of neural precursor cells by repressing differentiation and promoting proliferation. Our study provides a new mechanism of 3OHB’s neuroprotective effect, in which chromatin bivalency is sensitive to 3OHB alteration and drives its neuroprotective function both in neurodegenerative diseases and in neural development processes. Full article
(This article belongs to the Section Molecular Neurobiology)
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<p><b>Proteomics Workflow and GSEA Analysis</b>. (<b>A</b>) HT22 cells were treated with 0.2 mM of β-hydroxybutyrate (3OHB) and a mock solution, respectively. Cells were then processed for MS-based dimethyl-labeling quantitative proteomics analysis. (<b>B</b>) GSEA was applied to extract an enriched gene ontology map from the proteomics data. As indicated by the pink tag, pathways related to protein acetylation, neurodegenerative disease, ALS and cognition were especially highlighted, which was in good agreement with previous studies. At the same time, biological processes related to protein methylation also showed sensitive responses to 3OHB administration in normal neurons. Red dot represents up-regulated processes and pathways, blue dot represents down-regulated processes and pathways, the green line indicates shared proteins between connected processes and pathways, where thickness is proportional to the number of shared proteins.</p>
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<p><b>Integrative analysis of the proteomics dataset pinpointed H3K27me3 and H3K4me3 as hubs.</b> (<b>A</b>) Proteomics data from our study and transcriptomic data from references overlapped. Left, genes that showed a consistent increase or decrease in both RNA and protein levels are highlighted by red and blue columns, respectively; right, the network that was generated using the STRING database by loading consistently changed genes as seeds which constitute nodes of a protein interaction network. Among them, yellow nodes represent genes related to neurodegenerative disease like AD, PD and HD. (<b>B</b>) Up, the protein-protein interaction model used to identify hub proteins. Down, the protein-protein interaction network, was seeded with AD, PD, HD, Epilepsy, ASD, and ALS candidate proteins identified in our dataset (<a href="#app1-ijms-24-00868" class="html-app">Supplementary Table S2</a>); highlighted by red nodes. Blue nodes indicate intermediate protein-protein interactions between seed genes. Green nodes represent proteins connected to the top hub protein of high degree and/or betweenness centrality. (<b>C</b>) Western blot analysis (<span class="html-italic">n</span> = 3), left, revealed that 3OHB induced a significant reduction of H3K27me3 levels in the HT22 cells upon long-term treatment (at 12 h (<span class="html-italic">p</span> &lt; 0.01) and 24 h (<span class="html-italic">p</span> &lt; 0.001)); right, the levels of H3K4me3 in the HT22 cells were increased after 12 h of treatment (<span class="html-italic">p</span> &lt; 0.01). (<b>D</b>) Western blot analysis (<span class="html-italic">n</span> = 6), left, revealed that fasting induced a similar pattern of H3K27me3 level reduction in the brains of C67 mice at 24 h (<span class="html-italic">p</span> &lt; 0.001) comparable to that of HT22 cells; right, H3K4me3 levels showed an earlier response at 6 h of fasting (<span class="html-italic">p</span> &lt; 0.01) than what was observed upon 3OHB treatment in HT22 cells. Data are mean ± SEM <span class="html-italic">n</span> = 3 (<b>C</b>); Data are mean ± SEM <span class="html-italic">n</span> = 6 mice per group (<b>D</b>), one-way ANOVA, Tukey’s test, ** means <span class="html-italic">p</span> &lt; 0.01 while *** means <span class="html-italic">p</span> &lt; 0.001 (<b>C</b>,<b>D</b>).</p>
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<p><b>The correlation between chromatin bivalency and 3OHB-perturbed gene expression patterns highlighted that the 3OHB-sensitive transcriptional regulatory network is a promoter of the interaction between disease-related genes and 3OHB.</b> (<b>A</b>) Biological processes associated with H3K27me3-H3K4me3 chromatin bivalency and processes perturbed by ketone bodies (1 mM 3OHB and 1 mM acetoacetate, 1 h) in neurons were extracted and overplayed to reveal possible correlations between chromatin bivalency and 3OHB. (<b>B</b>) Up, the overlapping genes were further subjected to gene ontology analysis; down, the protein-protein interaction network was seeded with the overlapping genes. Red nodes indicate seed genes and blue nodes represent intermediate protein-protein interactions between seed genes. (<b>C</b>) A network was generated using the STRING database by loading the overlapping genes as seeds which constitute nodes of a protein interaction network. Among them, yellow nodes represent genes related to neurodegenerative disease like AD, PD and HD. Autoregulatory transcription factors were highlighted with purple circles.</p>
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<p><b>BHB perturbed chromatin bivalency and resulted in the alteration of neural differentiation processes.</b> (<b>A</b>) Workflow of neural precursor cell isolation and 3OHB treatment for transcriptome analysis. (<b>B</b>) Up, immunocytochemical staining used to validate the alteration of the differentiation status of NSCs in the presence of 0.02, 0.2 and 2 mM 3OHB; down, volcano plot of the transcriptomic dataset showing changes of gene expression upon BHB administration ((5 days; <span class="html-italic">n</span> = 3 biological replicates) (<span class="html-italic">p</span> &lt; 0.05; log2(fold change) &gt; 0.25 or &lt; −0.25. (<b>C</b>) GSEA extraction-enriched gene ontology map derived from the transcriptomic data. Red nodes indicate signaling pathways upregulated by 3OHB while blue nodes represent signaling pathways downregulated by it in NSCs. The cellular metabolic processes indicated by circles were increased by 3OHB treatment; biological processes related to neural differentiation were significantly inhibited (<span class="html-italic">p</span> &lt; 0.001) while processes related to the cell cycle were significantly promoted by 3OHB (<span class="html-italic">p</span> &lt; 0.001).</p>
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<p><b>Identification and validation of abundant histone lysine hydroxybutyrylation (Kbhb) sites.</b> (<b>A</b>) Western blot analysis (<span class="html-italic">n</span> = 3), left, revealed that 3OHB induced a significant increase of H2AK118bhb levels in the HT22 cells (at 6 h (<span class="html-italic">p</span> &lt; 0.001), 12 h (<span class="html-italic">p</span> &lt; 0.01) and 24 h (<span class="html-italic">p</span> &lt; 0.01); right, H2AK119ub levels in the HT22 cells were significantly reduced after 3OHB treatment (<span class="html-italic">p</span> &lt; 0.001). (<b>B</b>)Western blot analysis (<span class="html-italic">n</span> = 6), left, showing that fasting induced a significant increase of H2AK118bhb levels in C67 mice at 6 h of fasting (<span class="html-italic">p</span> &lt; 0.01); right, H2AK119ub levels showed a similar pattern of significant reduction as observed in the HT22 cells (<span class="html-italic">p</span> &lt; 0.001). Data are mean ± SEM <span class="html-italic">n</span> = 3 (<b>A</b>), Data are mean ± SEM <span class="html-italic">n</span> = 6 mice per group (<b>B</b>), one-way ANOVA, Tukey’s test, * means <span class="html-italic">p</span> &lt; 0.05, ** means <span class="html-italic">p</span> &lt; 0.01 while *** means <span class="html-italic">p</span> &lt; 0.001 (<b>A</b>,<b>B</b>).</p>
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19 pages, 2637 KiB  
Article
Protein-Coding Region Derived Small RNA in Exosomes from Influenza A Virus–Infected Cells
by Malgorzata Kwasnik, Wojciech Socha, Bartosz Czech, Magdalena Wasiak, Jerzy Rola and Wojciech Rozek
Int. J. Mol. Sci. 2023, 24(1), 867; https://doi.org/10.3390/ijms24010867 - 3 Jan 2023
Cited by 2 | Viewed by 2480
Abstract
Exosomes may function as multifactorial mediators of cell-to-cell communication, playing crucial roles in both physiological and pathological processes. Exosomes released from virus-infected cells may contain RNA and proteins facilitating infection spread. The purpose of our study was to analyze how the small RNA [...] Read more.
Exosomes may function as multifactorial mediators of cell-to-cell communication, playing crucial roles in both physiological and pathological processes. Exosomes released from virus-infected cells may contain RNA and proteins facilitating infection spread. The purpose of our study was to analyze how the small RNA content of exosomes is affected by infection with the influenza A virus (IAV). Exosomes were isolated by ultracentrifugation after hemadsorption of virions and their small RNA content was identified using high-throughput sequencing. As compared to mock-infected controls, 856 RNA transcripts were significantly differentially expressed in exosomes from IAV-infected cells, including fragments of 458 protein-coding (pcRNA), 336 small, 28 long intergenic non-coding RNA transcripts, and 33 pseudogene transcripts. Upregulated pcRNA species corresponded mainly to proteins associated with translation and antiviral response, and the most upregulated among them were RSAD2, CCDC141 and IFIT2. Downregulated pcRNA species corresponded to proteins associated with the cell cycle and DNA packaging. Analysis of differentially expressed pseudogenes showed that in most cases, an increase in the transcription level of pseudogenes was correlated with an increase in their parental genes. Although the role of exosome RNA in IAV infection remains undefined, the biological processes identified based on the corresponding proteins may indicate the roles of some of its parts in IAV replication. Full article
(This article belongs to the Special Issue Exosomes and Extracellular Vesicles in Health and Diseases)
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<p>Immunoperoxidase staining of Madin–Darby canine kidney (MDCK) cells infected with equine influenza virus (MOI of 10), (<b>a</b>) Mock-infected MDCK cells; (<b>b</b>) MDCK infected with A/equi/Kentucky 81 cells.</p>
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<p>Identification and characterization of exosomes. (<b>a</b>) Scanning microscope photograph of purified exosomes. (<b>b</b>) Nanoparticle tracking analysis size distribution of exosomes isolated from mock-infected and influenza A virus (IAV)–infected MDCK cells. Red error bars indicate +/− 1 standard error of the mean. (<b>c</b>) Immunoblotting of exosomal marker (CD9) and IAV matrix protein (M1). Exosomes secreted by mock–infected (mock 1, 2) and IAV infected (flu 1, 2) cells; IAV–influenza virions; MDCK–mock–infected (−) and IAV infected cells (+).</p>
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<p>Differentially expressed RNAs identified in exosomes from influenza-infected cells, (<b>a</b>) Percentage of RNA biotypes; (<b>b</b>) Over- and underexpressed RNA biotypes, “other”—transcripts that could not be unambiguously assigned to any biotype.</p>
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<p>Protein−coding RNAs that exhibited the highest over− and underexpression in exosomes released from influenza−infected MDCK cells.</p>
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<p>The interaction network of proteins encoded by transcripts overexpressed in exosomes isolated from IAV-infected MDCK cells, STRING pathway analysis. Colors indicate GO annotations: red—GO:0006412 “Biological process—Translation”; blue—GO:0009615 “Biological process—Response to virus”; green—GO:0006880 “Biological process—Intracellular sequestering of iron ion”; white—not assigned to a specific process.</p>
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24 pages, 1312 KiB  
Review
Inflammation in Urological Malignancies: The Silent Killer
by Martina Catalano, Giandomenico Roviello, Raffaella Santi, Donata Villari, Pietro Spatafora, Ilaria Camilla Galli, Francesco Sessa, Francesco Lupo Conte, Enrico Mini, Tommaso Cai and Gabriella Nesi
Int. J. Mol. Sci. 2023, 24(1), 866; https://doi.org/10.3390/ijms24010866 - 3 Jan 2023
Cited by 7 | Viewed by 2589
Abstract
Several studies have investigated the role of inflammation in promoting tumorigenesis and cancer progression. Neoplastic as well as surrounding stromal and inflammatory cells engage in well-orchestrated reciprocal interactions to establish an inflammatory tumor microenvironment. The tumor-associated inflammatory tissue is highly plastic, capable of [...] Read more.
Several studies have investigated the role of inflammation in promoting tumorigenesis and cancer progression. Neoplastic as well as surrounding stromal and inflammatory cells engage in well-orchestrated reciprocal interactions to establish an inflammatory tumor microenvironment. The tumor-associated inflammatory tissue is highly plastic, capable of continuously modifying its phenotypic and functional characteristics. Accumulating evidence suggests that chronic inflammation plays a critical role in the development of urological cancers. Here, we review the origins of inflammation in urothelial, prostatic, renal, testicular, and penile cancers, focusing on the mechanisms that drive tumor initiation, growth, progression, and metastasis. We also discuss how tumor-associated inflammatory tissue may be a diagnostic marker of clinically significant tumor progression risk and the target for future anti-cancer therapies. Full article
(This article belongs to the Special Issue Inflammation and Cancer 2021)
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<p>Correlations between inflammation and cancer. <span class="html-italic">HIF</span>, hypoxia inducible factor; <span class="html-italic">NF</span>, nuclear factor; <span class="html-italic">STAT</span>, signal transducer and activator of transcription. Image created with <a href="http://BioRender.com" target="_blank">BioRender.com</a> (accessed on 1 December 2022).</p>
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<p>Role of tumor-infiltrating immune cells in genitourinary cancers. ADT, androgen deprivation therapy; BC, bladder cancer; BCG, Bacillus Calmette-Guérin; DFS, disease-free survival; LNM, lymph node metastasis; MDSCs, myeloid-derived suppressor cells; G-MDSCs, granulocytic myeloid-derived suppressor cells; M-MDSCs, monocytic myeloid-derived suppressor cells; MIBC, muscle-invasive bladder cancer; OS, overall survival; PD-L1, programmed death-ligand 1; PSA, prostate-specific antigen; RC, radical cystectomy; RFS, relapse-free survival; RP, radical prostatectomy; SCC, squamous cell cancer; TAMs, tumor-associated macrophages; TILs, tumor-infiltrating lymphocytes; TIM-3, T cell immunoglobulin and mucin-domain containing-3; TUR, transurethral resection; UC, urothelial cancer. Image created with <a href="http://BioRender.com" target="_blank">BioRender.com</a> (accessed on 1 December 2022).</p>
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