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Search Results (21,035)

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14 pages, 2341 KiB  
Article
Tissue-Specific Toxicity in Common Carp (Cyprinus carpio) Caused by Combined Exposure to Triphenyltin and Norfloxacin
by Yiwei Liu, Luoxin Li, Siqi Zhang, Minghao Yin, Tengzhou Li, Bianhao Zeng, Ling Liu, Ping Li and Zhihua Li
Fishes 2024, 9(10), 415; https://doi.org/10.3390/fishes9100415 (registering DOI) - 17 Oct 2024
Abstract
Triphenyltin (TPT) is a commonly encountered organotin compound known for its endocrine-disrupting properties; it frequently interacts with antibiotics in aquatic environments. In this study, common carp (Cyprinus carpio) (17.43 ± 4.34 g, 11.84 ± 0.88 cm) were chosen as the experimental organisms. According [...] Read more.
Triphenyltin (TPT) is a commonly encountered organotin compound known for its endocrine-disrupting properties; it frequently interacts with antibiotics in aquatic environments. In this study, common carp (Cyprinus carpio) (17.43 ± 4.34 g, 11.84 ± 0.88 cm) were chosen as the experimental organisms. According to the environmental concentration in the heavily polluted area, the control group and the experimental groups were exposed for 21 days to the following treatments: 1 μg/L TPT, 1 mg/L NOR, and a combination of 1 μg/L TPT plus 1 mg/L NOR. The investigation examined the individual and combined toxicities of TPT and norfloxacin (NOR) on the gill, liver, and gut tissues of common carp in highly polluted areas. The findings revealed tissue-specific variations in 1L-1β enzyme activity; specifically, 1L-1β enzyme activity exhibited a significant reduction in liver tissue under both NOR exposure and combined exposure, indicating that high concentrations of NOR had the most pronounced impact on the immune system of liver tissue. Furthermore, the gene expression levels of IL-1β, Lysozyme-C, NKA, and CPT1 in the liver, intestinal, and gill tissues showed differences after exposure. In addition, TPT exerted the most significant effect on intestinal tissue, followed by the liver and gill tissues. Interestingly, when TPT and NOR were exposed together, the toxic effects on all tissues were reduced, suggesting the existence of antagonistic effects. Full article
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Figure 1

Figure 1
<p>The activity of ACP enzyme in the lower intestine, liver and gill tissues was demonstrated after single or combined exposure to TPT and NOR. Vertical bars represent the mean ± SE (n = 18). Letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 2
<p>The 1L-1β enzyme activity is shown in three different tissues of the lower intestine, liver and gills exposed to TPT and NOR alone, or in combination. Vertical bars represent the mean ± SE (n = 18). Letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 3
<p>The activity of NKA and CMA enzymes in three different tissues of the lower intestine, liver and gills exposed to TPT and NOR alone, or in combination: (<b>A</b>) NKA enzyme activity; and (<b>B</b>) CMA enzyme activity. Vertical bars represent the mean ± SE (n = 18). Letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 4
<p>The expression levels of <span class="html-italic">IL-1β</span>, <span class="html-italic">Lysozyme-C</span>, <span class="html-italic">CPT1</span> and <span class="html-italic">NKA</span> in three different tissues of the lower intestine, liver and gill after single or combined exposure of TPT and NOR: (<b>A</b>) IL-1β level; (<b>B</b>) <span class="html-italic">Lysozyme-C</span> level; (<b>C</b>) <span class="html-italic">CPT1</span> level; and (<b>D</b>) <span class="html-italic">NKA</span> level. Vertical bars represent the mean ± SE (n = 18). Letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 5
<p>Heat map of correlations between the various parameters studied. Vibrant red denotes a positive correlation and brilliant blue denotes a negative correlation on the color scale, which shows the correlation value between −1 and 1. “*” represents a significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 6
<p>Radar plots of biomarker data in different groups and integrated biomarker response (IBR) index values for each group.</p>
Full article ">Figure 6 Cont.
<p>Radar plots of biomarker data in different groups and integrated biomarker response (IBR) index values for each group.</p>
Full article ">
17 pages, 290 KiB  
Article
Developing a More Sustainable Protein and Amino Acid Supply of Laying Hens in a Split Feeding System
by Boglárka Horváth, Patrik Strifler, Nikoletta Such, László Wágner, Károly Dublecz, Henrik Baranyay, László Bustyaházai and László Pál
Animals 2024, 14(20), 3006; https://doi.org/10.3390/ani14203006 (registering DOI) - 17 Oct 2024
Abstract
Two model experiments were conducted to investigate the different protein and amino acid supply of laying hens fed split feeding (SF) diets. In Experiment 1, one conventional (C) and one SF dietary treatment were established, and the diets were implemented for 12 weeks. [...] Read more.
Two model experiments were conducted to investigate the different protein and amino acid supply of laying hens fed split feeding (SF) diets. In Experiment 1, one conventional (C) and one SF dietary treatment were established, and the diets were implemented for 12 weeks. The concentrations of crude protein, SID Lys, Met, Met + Cys Arg, Val, Thr, Leu, Ile, and Trp of the SF morning diet were the same as in the C diet. The crude protein content of the SF afternoon diet was lower (92%), while the SID values of Lys, Met, Met + Cys were identical compared to the C diet (100%). The SF treatment resulted in a reduced protein/N intake, better feed conversion ratio, higher eggshell thickness and apparent ileal digestibility of Asp, Leu, Lys, Gly, and Ser, and lower concentration of N forms (total, fecal, NH4+, uric acid, urinary) in the excreta compared to the C treatment. In Experiment 2, a control and a low protein (−2% crude protein but the same SID values of Lys, Met, Met + Cys, Thr, Val) SF treatment were compared for 6 weeks. The low protein SF treatment led to a decreased protein/N intake, higher laying rate, lower egg weight, higher ileal digestibility of Ala, Asp, Leu, and Ile, and similar N emission compared to the control SF treatment. Full article
11 pages, 1009 KiB  
Article
Altered Expressions of IL-15, IFNG, and HPRT1 Genes in the Thin Endometria of Patients with Reproductive Disorders: A Prospective Comparative Study
by Almagul Kurmanova, Yeldar Ashirbekov, Gaukhar Kurmanova, Nagima Mamedaliyeva, Gaini Anartayeva, Gaukhar Moshkalova, Damilya Salimbayeva, Aidana Tulesheva and Zhamilya Zhankina
J. Clin. Med. 2024, 13(20), 6184; https://doi.org/10.3390/jcm13206184 (registering DOI) - 17 Oct 2024
Abstract
Reproductive disorders are common events in modern reproductive medicine, occurring both in spontaneous and assisted pregnancies. Studies on the molecular mechanisms of implantation disorders in thin endometria, including the study of gene transcriptional activities, have shed light on the identification of the potential [...] Read more.
Reproductive disorders are common events in modern reproductive medicine, occurring both in spontaneous and assisted pregnancies. Studies on the molecular mechanisms of implantation disorders in thin endometria, including the study of gene transcriptional activities, have shed light on the identification of the potential biological markers of endometrial receptivity. Background/Objectives: The goal of this study was to reveal the significantly dysregulated selected gene expressions between RIF and RPL patients with thin endometria. Methods: Endometrial samples were collected from RIF patients (n = 20) and RPL patients (n = 19) during the implantation window days (LH + 7—LH + 10) of their natural menstrual cycles. Ten genes were chosen as the target genes regarding their possible relations with the implantation process. The total RNA was purified and reverse-transcribed, and gene expressions were quantified by RT-PCR. Results: The expressions of the IL-15, INFG, and HPRT1 genes were significantly decreased in the RIF patients with thin endometria compared to the RPL patients (log2 fold change = 0.92, p = 0.023 for IL-15; log2 fold change = 1.24, p = 0.046 for INFG; and log2 fold change = 0.579, p = 0.046 for HPRT1). There were no significant differences in the expressions of the CXCL8, CXCL1, MMP10, C4BPA, TNC, VEGFB, and HAND2 genes between the groups. Conclusions: Decreased expressions of the IL-15, INFG, and HPRT1 genes were found in patients with RIF with thin endometria compared to the endometria of women with RPL. This has practical significance for clinicians for the differentiated prescription of immunomodulatory therapy in patients undergoing ART programs. Full article
(This article belongs to the Special Issue Assisted Reproductive Technology: Clinical Advances and Challenges)
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Figure 1

Figure 1
<p>Differences in gene expression levels (ΔCt values) in endometrial tissues between RIF and RPL patients: (<b>a</b>) <span class="html-italic">IL15</span> gene; (<b>b</b>) <span class="html-italic">IFNG</span> gene; (<b>c</b>) <span class="html-italic">HPRT1</span> gene.</p>
Full article ">Figure 2
<p>ROC curves for potential markers and combinations of markers in the discrimination of RIF and RPL in women. The ROC curves (red lines) allow for the evaluation of the quality of the binary classifications by displaying the relationship between sensitivity and specificity as the decision threshold is varied: (<b>a</b>) <span class="html-italic">IL15</span>; (<b>b</b>) <span class="html-italic">IFNG</span>; (<b>c</b>) <span class="html-italic">HPRT1</span>; (<b>d</b>) combination of <span class="html-italic">IL15</span> and <span class="html-italic">IFNG</span>; (<b>e</b>) combination of <span class="html-italic">IL15</span> and <span class="html-italic">HPRT1</span>; (<b>f</b>) combination of <span class="html-italic">IFNG</span> and <span class="html-italic">HPRT1</span>; (<b>g</b>) combination of <span class="html-italic">IL15</span>, <span class="html-italic">IFNG</span>, and <span class="html-italic">HPRT1</span>.</p>
Full article ">Figure 2 Cont.
<p>ROC curves for potential markers and combinations of markers in the discrimination of RIF and RPL in women. The ROC curves (red lines) allow for the evaluation of the quality of the binary classifications by displaying the relationship between sensitivity and specificity as the decision threshold is varied: (<b>a</b>) <span class="html-italic">IL15</span>; (<b>b</b>) <span class="html-italic">IFNG</span>; (<b>c</b>) <span class="html-italic">HPRT1</span>; (<b>d</b>) combination of <span class="html-italic">IL15</span> and <span class="html-italic">IFNG</span>; (<b>e</b>) combination of <span class="html-italic">IL15</span> and <span class="html-italic">HPRT1</span>; (<b>f</b>) combination of <span class="html-italic">IFNG</span> and <span class="html-italic">HPRT1</span>; (<b>g</b>) combination of <span class="html-italic">IL15</span>, <span class="html-italic">IFNG</span>, and <span class="html-italic">HPRT1</span>.</p>
Full article ">
26 pages, 8121 KiB  
Article
Mixed Th1/Th2/Th17 Responses Induced by Plant Oil Adjuvant-Based B. bronchiseptica Vaccine in Mice, with Mechanisms Unraveled by RNA-Seq, 16S rRNA and Metabolomics
by Xuemei Cui, Qiuju Xiang, Yee Huang, Quanan Ji, Zizhe Hu, Tuanyuan Shi, Guolian Bao and Yan Liu
Vaccines 2024, 12(10), 1182; https://doi.org/10.3390/vaccines12101182 (registering DOI) - 17 Oct 2024
Abstract
Background/Objectives: The current Bordetella bronchiseptica (Bb) vaccine, when adjuvanted with alum, does not elicit adequate robust cellular immunity or effective antibody defense against Bb attacks. Unfortunately, antibiotic treatment generally represents an ineffective strategy due to the development of resistance against a broad range [...] Read more.
Background/Objectives: The current Bordetella bronchiseptica (Bb) vaccine, when adjuvanted with alum, does not elicit adequate robust cellular immunity or effective antibody defense against Bb attacks. Unfortunately, antibiotic treatment generally represents an ineffective strategy due to the development of resistance against a broad range of antibiotics. Methods: The present study was designed to investigate the immune response, protective capabilities and underlying mechanisms of a plant oil-based adjuvant E515 formulated with inactivated Bb antigen as a potential vaccine candidate against Bordetella bronchiseptica. Results: Immunization studies revealed that a combination of SO, VE and GS (E515) exhibited a good synergistic adjuvant effect. The E515 adjuvanted Bb vaccine was proven to be highly efficacious and induced a mixed Th1/Th2/Th17 immune response in mice, leading to a significant increase in Bb-specific IgG, IgG1 and IgG2a antibodies, proliferative lymphocyte responses and cytokine levels (by lymphocytes and serum) and effectively induced responses by CD4+ TE, TM cells and B cells. The E515 adjuvant significantly enhanced the immune protection provided by the Bb vaccine in a mice model, as indicated by a reduced bacterial burden in the lungs. Multi-omics sequencing analysis revealed that E515 functions as an adjuvant by modulating critical pathways, including cytokine–cytokine receptor interaction, the IL-17 signaling pathway and the chemokine signaling pathway. This modulation also included interactions with beneficial species of bacteria including Alistipes, Odoribacter and Colidextribacter, as well as energy and lipid-related metabolites, thus highlighting its role as an immunomodulatory agent. Conclusion: Collectively, our results demonstrate the huge potential of E515-Bb vaccine candidates, thus highlighting the vegetable oil original adjuvant E515 as a promising agent for the development of new veterinary vaccines. Full article
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Figure 1

Figure 1
<p>Experimental design. (<b>A</b>) Synergistic effects of E515 adjuvant on Bb vaccine. Mice (n = 6/group) were immunized intramuscularly (i.m.) on days 0 and 14. Blood samples were collected 3 and 7 days after boost to measure Bb-specific IgG. (<b>B</b>) Immune effects of the E515-Bb vaccine. Mice (n = 15/group) were i.m. Blood samples were collected 7, 14, 21 and 28 days after boosting to measure Bb-specific IgG, IgG1 and IgG2a. On day 14, spleens were collected to measure lymphocyte proliferation, relative mRNA expression, T/B cell differentiation and cytokine production (spleen and serum). On day 28, spleens and cecal contents were collected for transcriptomic, 16S rRNA sequencing and untargeted metabolomics analyses. (<b>C</b>) Protection effect of E515-Bb vaccine. Mice (n = 9/group) were immunized i.m. on day 0. On day 28 post-boosting, mice were challenged with live Bb (5.2 × 10<sup>9</sup> CFU/mice); seven days later lungs were collected for bacterial burdens quantified.</p>
Full article ">Figure 2
<p>Vaccine-induced humoral immune response (Mice, n = 6/group). (<b>A</b>) Blood samples were collected 3 and 7 days after boost to measure Bb-specific IgG. (<b>B</b>) Serum samples were collected 7, 14, 21 and 28 days after boosting to measure Bb-specific IgG. (<b>C</b>) IgG1 and IgG2a were measured 14 days after the boost. Data shown as mean ± SE. Bars with different letters are statistically different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 3
<p>Vaccine-induced cellular immune response (Mice, n = 6/group). Splenocytes were isolated from spleens 14 days after the boost. (<b>A</b>) SI splenocytes were stimulated by Con A (10 µg/mL), LPS (10 µg/mL) or Bb antigen (20 µg/mL) for 48 h. (<b>B</b>) The expression of GATA-3, T-bet and ROR-γt mRNA splenocytes were stimulated by the Bb antigen (20 µg/mL) for 24 h. (<b>C</b>–<b>F</b>) The concentration of the IFN-γ, IL-6, TGF-β1 and IL-17 splenocytes were stimulated by the Bb antigen (20 µg/mL) for 72 h. Data shown as mean ± SE. Bars with different letters are statistically different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 4
<p>Cytokine production in serum (Mice, n = 5/group). Serum samples were collected 14 days after the boost and detected by a cytokine array. (<b>A</b>) Heat map of hierarchical clustering of cytokines in Bb vs. alum. (<b>B</b>) Heat map of hierarchical clustering of cytokines in Bb vs. E515. (<b>C</b>) Heat map of hierarchical clustering of cytokines in alum vs. E515. (<b>D</b>) KEGG pathway enrichment of cytokines in Bb vs. alum. (<b>E</b>) KEGG pathway enrichment of cytokines in Bb vs. E515. (<b>F</b>) KEGG pathway enrichment of cytokines in alum vs. E515. Red color on the heatmap indicates cytokines are upregulated and blue indicates cytokines are downregulated. Dot size on the KEGG pathway represents the number of cytokines; the color represents the <span class="html-italic">p</span> value.</p>
Full article ">Figure 5
<p>Bb-specific T cell and B cell responses in the spleen (Mice, n = 5/group). Splenocytes were isolated from the spleens 14 days after the boost, and analyzed by flow cytometry. (<b>A</b>,<b>B</b>) Frequencies and quantification of the CD4<sup>+</sup>, CD8<sup>+</sup> T cells and CD4<sup>+</sup>/CD8<sup>+</sup> ratio. (<b>C</b>,<b>D</b>) Frequencies and quantification of the CD4<sup>+</sup> TM (CD44<sup>+</sup> CD62L<sup>+</sup>) and TE (CD44<sup>+</sup> CD62L<sup>−</sup>) cells. (<b>E</b>,<b>F</b>) Frequencies and quantification of the CD8<sup>+</sup> TM and TE cells. (<b>G</b>,<b>H</b>) Frequencies and quantification of the plasmablasts (CD19<sup>+</sup> CD138<sup>+</sup> CD38<sup>+</sup>). (<b>I</b>,<b>J</b>) Frequencies and quantification of the plasma cells (CD19<sup>−</sup> CD138<sup>+</sup> CD38<sup>−</sup>). (<b>K</b>,<b>L</b>) Frequencies and quantification of the GC B cells (CD19<sup>+</sup> Fas<sup>+</sup> CD38<sup>−</sup>). Data shown as mean ± SE. Bars with different letters are statistically different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 6
<p>KEGG pathways analysis (n = 3 /group). Comparison of DEGs KEGG modules between Bb-vs-alum (<b>A</b>), Bb-vs-E515 (<b>B</b>) and alum-vs-E515 (<b>C</b>).</p>
Full article ">Figure 7
<p>Effect of E515 on the diversity and composition of gut microbiota (n = 6/group). (<b>A</b>) Rank–abundance curve. (<b>B</b>,<b>G</b>–<b>I</b>) β-diversity was detected using PCoA (principal coordinates analysis) and ANOSIM (non-metric multi-dimensional scaling). (<b>C</b>) Observed OTUs (operational taxonomic units). (<b>D</b>–<b>F</b>) α-Diversity was detected using Chao1, Shannon and Simpson indices. (<b>J</b>–<b>L</b>) Composition of gut microbiota was analyzed at the phylum, family and genus levels.</p>
Full article ">Figure 8
<p>Differences in microbial abundances were identified by linear discriminant analysis (LDA, LDA score &gt; 2) and linear discriminant analysis effect size (LEfSe) analyses. (<b>A</b>) Bb-vs-E515. (<b>B</b>) alum-vs-E515.</p>
Full article ">Figure 9
<p>KEGG pathway analysis of differential microbes in the three groups.</p>
Full article ">Figure 10
<p>Effect of E515 on the changes of gut metabolic (n = 6 /group). (<b>A</b>) PLS-DA analysis score plots of the metabolic profiles in the negative ion mode. (<b>B</b>) PLS-DA analysis score plots of the metabolic profiles in the positive ion mode. PLS-DA and OPLS-DA analysis score plots of the metabolic profiles in the negative ion mode. Cross-validation results in the negative ion mode. (<b>C</b>) Differential expressed metabolites (DEMs) in every comparison group (VIP &gt; 1 and <span class="html-italic">p</span> &lt; 0.05). (<b>D</b>–<b>F</b>) KEGG pathway analysis of the differential metabolites in every comparison groups.</p>
Full article ">Figure 11
<p>Pearson’s correlation analysis among metabolites and microbes. (<b>A</b>) Bb-vs-E515. (<b>B</b>) Alum-vs-E515. Positive correlation marked with red color, negative correlation marked with green color, * <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.</p>
Full article ">Figure 12
<p>Protective effect of E515-Bb vaccine on mice post-Bb challenge. Mice (n = 9/group) were s.c. injected with 0.2 mL of inactivated Bb antigen (3 × 10<sup>9</sup> CFU/mL) or Bb antigen adjuvanted with E515 or alum. Then, mice were challenged by an intraperitoneal injection of live Bb (5.2 × 10<sup>9</sup> CFU/mice). Seven days after attack, bacterial loads in lungs were quantified (n = 6). Data are presented as mean ± SE. Bars with different letters are statistically different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">
11 pages, 1073 KiB  
Article
Eutopic and Ectopic Endometrial Interleukin-17 and Interleukin-17 Receptor Expression at the Endometrial—Myometrial Interface in Women with Adenomyosis: Possible Pathophysiology Implications
by Le-Tien Hsu, Pei-Chen Lu, Yi-Wen Wang, Hsien-Ming Wu, I-Ju Chen and Hong-Yuan Huang
Int. J. Mol. Sci. 2024, 25(20), 11155; https://doi.org/10.3390/ijms252011155 (registering DOI) - 17 Oct 2024
Abstract
Adenomyosis involves the infiltration of endometrial glands and stroma deep into the uterine tissue, causing disruption to the endometrial–myometrial interface (EMI). The role of interleukin-17 (IL-17) has been extensively studied in endometriosis, but its involvement in adenomyosis remains unclear. This study aimed to [...] Read more.
Adenomyosis involves the infiltration of endometrial glands and stroma deep into the uterine tissue, causing disruption to the endometrial–myometrial interface (EMI). The role of interleukin-17 (IL-17) has been extensively studied in endometriosis, but its involvement in adenomyosis remains unclear. This study aimed to investigate the expression of IL-17 in eutopic and ectopic endometrium (adenomyosis) of individuals with adenomyosis at the level of EMI. Paired tissues of eutopic endometrium and adenomyoma were collected from 16 premenopausal women undergoing hysterectomy due to adenomyosis. The IL-17 system was demonstrated in paired tissue samples at the level of EMI by the immunochemistry study. Gene expression levels of IL-17A and IL-17 receptor (IL-17R) were assessed through quantitative real-time reverse transcription polymerase chain reaction (RT-PCR). Comparative gene transcript amounts were calculated using the delta-delta Ct method. By immunohistochemical staining, CD4, IL-17A, and IL-17R proteins were detected in both eutopic endometrium and adenomyosis at the level of EMI. IL-17A and IL-17R were expressed mainly in the glandular cells, and the expression of both IL-17A and IL-17R was found to be stronger in adenomyosis than in endometrium. 3-Diaminobenzidine (DAB) staining revealed greater IL-17A expression in adenomyosis compared to eutopic endometrium. Quantitative RT-PCR showed 7.28-fold change of IL-17A and 1.99-fold change of IL-17R, and the fold change level of both IL-17A and IL-17R is significantly higher in adenomyosis (IL-17A: p = 0.047, IL-17R: p = 0.027) versus eutopic endometrium. We found significantly higher IL-17 levels in adenomyosis compared to eutopic endometrium at the level of EMI. The results showed that the IL-17 system may play a role in adenomyosis. Full article
(This article belongs to the Special Issue Endometriosis: From Molecular Basis to Therapy)
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Figure 1

Figure 1
<p>Immunohistochemistry of the IL-17 system in patients with adenomyosis. (<b>A</b>) Endometrial–myometrial interface stained by H&amp;E, and the circled area indicates the adenomyotic lesion. (<b>B</b>,<b>C</b>) Negative controls without staining: (<b>B</b>) endometrium and (<b>C</b>) adenomyosis. The brown stain indicated infiltration of CD4-positive immune cells in both glandular and stromal tissues of endometrium (<b>D</b>) and adenomyosis (<b>E</b>). The brown stain (red arrow) showed the IL-17A positive reaction mainly in the glandular cells of endometrium (<b>F</b>) and adenomyosis (<b>G</b>), and the dyeing is denser in adenomyosis (<b>G</b>) than in endometrium (<b>F</b>). The brown stain (red arrow) showed the IL-17R positive reaction mainly in the glandular cells of endometrium (<b>H</b>) and adenomyosis (<b>I</b>), and the dye is denser in adenomyosis (<b>I</b>) than in endometrium (<b>H</b>). (<b>A</b>) scale bar = 400 μm, (<b>B</b>,<b>C</b>) scale bar = 50 μm, (<b>D</b>–<b>I</b>) scale bar = 25 μm. H&amp;E: hematoxylin and eosin.</p>
Full article ">Figure 2
<p>Histogram. After the paired tissues are stained by DAB, 5 areas are randomly circled at both the eutopic endometrium and adenomyosis positions. In both paired tissues, the histograms show the density information for H&amp;E and DAB stain separately. DAB: 3,3-diaminobenzidine; H&amp;E: hematoxylin and eosin.</p>
Full article ">Figure 3
<p>Bar graph presentation of the fold change of IL-17A (<b>A</b>) and IL-17R (<b>B</b>) transcript quantified by real-time RT-PCR. Data presented are mean ± standard deviation. (<b>A</b>) IL-17A levels are significantly elevated in the adenomyosis group compared to the eutopic endometrium group (fold change = 7.28, <span class="html-italic">p</span> = 0.047). (<b>B</b>) IL-17R levels are significantly higher in the adenomyosis group compared to the eutopic endometrium group (fold change = 1.99, <span class="html-italic">p</span> = 0.027). * <span class="html-italic">p</span> &lt; 0.05. RT-PCR: reverse transcription polymerase chain reaction.</p>
Full article ">Figure 4
<p>Flow chart of study subjects.</p>
Full article ">
26 pages, 1290 KiB  
Review
Rheumatoid Arthritis and COVID-19 at the Intersection of Immunology and Infectious Diseases: A Related PRISMA Systematic Literature Review
by Andreea-Iulia Vlădulescu-Trandafir, Violeta-Claudia Bojincă, Constantin Munteanu, Aurelian Anghelescu, Cristina Popescu, Simona-Isabelle Stoica, Sorina Aurelian, Andra Bălănescu, Cristina Băetu, Vlad Ciobanu and Gelu Onose
Int. J. Mol. Sci. 2024, 25(20), 11149; https://doi.org/10.3390/ijms252011149 (registering DOI) - 17 Oct 2024
Abstract
Rheumatoid arthritis (RA) patients face different health challenges when infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) than the general population, due to both their immunocompromised state and the immunosuppressive therapies they receive. This systematic literature review, which follows the Preferred Reporting [...] Read more.
Rheumatoid arthritis (RA) patients face different health challenges when infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) than the general population, due to both their immunocompromised state and the immunosuppressive therapies they receive. This systematic literature review, which follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) paradigm, explores the interactions between RA and SARS-CoV-2 infection, focusing on immunologic issues, disease management, vaccination, and adverse outcomes. In order to obtain the most relevant information, we systematically reviewed the specific literature from 1 January 2021 to 31 December 2023, based on the PRISMA method, by which we eventually selected 35 eligible articles, to which we added other ISI-indexed studies to enrich our results further. Consequently, we performed a funnel analysis to evaluate the potential for publication bias. Firstly, the data collected revealed the impact of the pandemic on RA diagnoses and the fear of face-to-face medical consultations that delayed adequate treatment. Secondly, cardiovascular and metabolic comorbidities increase the risk of prolonged COVID-19 symptoms, hospitalization, and severe COVID-19 outcomes for RA patients. With respect to immunosuppressive treatment used to control RA, it was observed that glucocorticoids (especially high-dose usage) and Rituximab (RTX) predispose the patients to poor SARS-CoV-2 outcomes, as opposed to Baricitinib and interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) inhibitors. COVID-19 vaccination has proven effective and generally safe for RA patients in some studies, although therapies with Methotrexate (MTX), Abatacept (ABA), and RTX have been associated with impaired vaccine immune response. This systematic literature review brings updated and thorough information with respect to the immunological, clinical, and management of a complex immune-mediated inflammatory disease (IMID) like RA in the setting of COVID-19 and underlines the challenges faced by this group of patients. The lessons learned can be extended beyond the pandemic in shaping a more informed and compassionate healthcare system and offering long-term medical care for patients with RA. Full article
(This article belongs to the Special Issue Autoimmunity Disease and Viral Infections)
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<p>Adapted PRISMA flow diagram (2020), customized for our study.</p>
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<p>Funnel plot analysis customized for our study.</p>
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20 pages, 4472 KiB  
Article
Loureirin B Reduces Insulin Resistance and Chronic Inflammation in a Rat Model of Polycystic Ovary Syndrome by Upregulating GPR120 and Activating the LKB1/AMPK Signaling Pathway
by Jing Wang, Zheng Huang, Zhiyong Cao, Yehao Luo, Yueting Liu, Huilu Cao, Xiusong Tang and Gang Fang
Int. J. Mol. Sci. 2024, 25(20), 11146; https://doi.org/10.3390/ijms252011146 - 17 Oct 2024
Abstract
Polycystic ovary yndrome (PCOS) is a common metabolic disorder in women, which is usually associated with insulin resistance (IR) and chronic inflammation. Loureirin B (LrB) can effectively improve insulin resistance and alleviate chronic inflammation, and in order to investigate the therapeutic effect of [...] Read more.
Polycystic ovary yndrome (PCOS) is a common metabolic disorder in women, which is usually associated with insulin resistance (IR) and chronic inflammation. Loureirin B (LrB) can effectively improve insulin resistance and alleviate chronic inflammation, and in order to investigate the therapeutic effect of LrB on polycystic ovary syndrome with insulin resistance (PCOS-IR), we conducted animal experiments. A PCOS-IR rat model was established by feeding a high-fat diet combined with letrozole (1 mg/kg·d for 21 days). The rats were treated with the GPR120 agonists TUG-891 and LrB for 4 weeks. Biochemical parameters (fasting blood glucose, total cholesterol, triglycerides, high- and low-density lipoprotein), hormone levels (serum insulin, E2, T, LH, and FSH), and inflammatory cytokines (TNF-α, IL-1β, IL-6, and IL-18) were analyzed. Histopathological analyses of ovaries were performed using hematoxylin/eosin (H&E) staining. Real-time PCR and western blotting were used to assess GPR120, NLRP3, and caspase-1 expression in ovaries, and immunohistochemistry was used to evaluate LKB1 and AMPK protein expression. LrB reduced body weight, Lee’s index, ovarian index, ovarian area, and volume in PCOS-IR rats. It lowered fasting blood glucose, serum insulin, and HOMA-IR. LrB decreased total serum cholesterol, triglyceride, and LDL levels and increased HDL levels. It reduced serum T, LH, and LH/FSH and raised serum E2 and FSH levels. LrB downregulated the mRNA and protein expression levels of NLRP3 and Caspase-1, increased the protein and mRNA expression levels of GPR120 in rat ovaries, and increased LKB1 and AMPK protein expression in ovaries, ameliorating ovarian histopathological changes in PCOS-IR rats. Taken together, LrB upregulated GPR120, LKB1, and AMPK protein expression, downregulated NLRP3 and Caspase-1 protein expression, reduced insulin resistance and chronic inflammation, and ameliorated histopathological changes in ovarian tissues in PCOS rats, suggesting its potential as a treatment for PCOS. Full article
(This article belongs to the Section Molecular Immunology)
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<p>Therapeutic effect of LrB on PCOS-IR rats.</p>
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<p>Effect of LrB on body weight and Lee’s index in PCOS-IR rats. The data are mean ± SDs, n = 10. Body weights of rats at (<b>A</b>) week 0 of treatment, (<b>B</b>) week 1, (<b>C</b>) week 2, (<b>D</b>) week 3, (<b>E</b>) week 4. (<b>F</b>) Lee’s indices of the rats in each group after four weeks of treatment. In comparison with the normal group, <sup>##</sup> <span class="html-italic">p &lt;</span> 0.01; in comparison with the PCOS-IR group, * <span class="html-italic">p &lt;</span> 0.05; ** <span class="html-italic">p &lt;</span> 0.01.</p>
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<p>Effect of LrB on the ovarian area, ovarian volume, and ovarian index in PCOS-IR rats. The values are means ± SDs; n = 10. (<b>A</b>) Ovarian area at four weeks of treatment. (<b>B</b>) Ovarian volume at four weeks. (<b>C</b>) Ovarian indices at four weeks. In comparison with the normal group, <sup>##</sup> <span class="html-italic">p &lt;</span> 0.01; in comparison with the PCOS-IR group, * <span class="html-italic">p &lt;</span> 0.05; ** <span class="html-italic">p &lt;</span> 0.01.</p>
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<p>Vaginal cytology images (magnification 10×, 40×). LrB improved the estrous cycle in PCOS-IR rats.</p>
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<p>Effect of LrB on lipid metabolic activity in PCOS-IR rats. The values are means ± SDs; n = 10. (<b>A</b>) TC levels at four weeks of treatment. (<b>B</b>) TG levels at four weeks. (<b>C</b>) LDL levels at four weeks. (<b>D</b>) HDL levels at four weeks. Relative to the normal group, <sup>##</sup> <span class="html-italic">p &lt;</span> 0.01; relative to the PCOS-IR group, ** <span class="html-italic">p &lt;</span> 0.01.</p>
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<p>Effect of LrB on fasting blood glucose and serum insulin in PCOS-IR rats; values are presented as the means ± SDs, n = 10. (<b>A</b>) INS levels at four weeks of treatment. (<b>B</b>) FBG levels at four weeks. (<b>C</b>) HOMA-IR at four weeks. Relative to the normal group, <sup>##</sup> <span class="html-italic">p &lt;</span> 0.01; relative to the PCOS-IR group, * <span class="html-italic">p &lt;</span> 0.05; ** <span class="html-italic">p &lt;</span> 0.01.</p>
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<p>Effects of LrB on hormone levels in PCOS-IR rats; values are means ± SDs; n = 10. (<b>A</b>) LH levels at four weeks of treatment. (<b>B</b>) T levels at four weeks. (<b>C</b>) LH/FSH ratio at four weeks. (<b>D</b>) FSH levels at four weeks. (<b>E</b>) E2 levels at four weeks. Relative to the normal group, <sup>##</sup> <span class="html-italic">p &lt;</span> 0.01; relative to the PCOS-IR group, * <span class="html-italic">p &lt;</span> 0.05; ** <span class="html-italic">p &lt;</span> 0.01.</p>
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<p>LrB alleviates the serum inflammatory response in PCOS-IR rats. Values are means ± SDs; n = 10. (<b>A</b>) Serum TNF-α content at four weeks of treatment. (<b>B</b>) Serum IL-1β at four weeks. (<b>C</b>) Serum IL-6 at four weeks. (<b>D</b>) Serum IL-18 at four weeks. Relative to the normal group, <sup>##</sup> <span class="html-italic">p &lt;</span> 0.01; relative to the PCOS-IR group, * <span class="html-italic">p &lt;</span> 0.05, ** <span class="html-italic">p &lt;</span> 0.01.</p>
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<p>Effects of LrB treatment on morphological changes in ovarian tissue (magnification 4×, 10×). Representative H&amp;E-stained ovarian tissue sections after four weeks of treatment. C, cystic follicles; CL, corpus luteum; ANF, antral follicles; ATF, atretic follicles.</p>
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<p>Effects of LrB on GPR120 expression in PCOS-IR rat ovaries. Data are means ± SDs; n = 3. (<b>A</b>) Western blot analysis of GPR120 and GAPDH in ovarian tissues at four weeks of treatment. (<b>B</b>) Quantitative analysis of GPR120 levels in ovarian tissues at four weeks of treatment. (<b>C</b>) Expression levels of GPR120 mRNA in ovarian tissues at four weeks of treatment. Relative to the normal group, <sup>##</sup> <span class="html-italic">p &lt;</span> 0.01; relative to the PCOS-IR group, * <span class="html-italic">p &lt;</span> 0.05; ** <span class="html-italic">p &lt;</span> 0.01.</p>
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<p>Effects of LrB on NLRP3 and Caspase-1 levels in the ovaries of PCOS-IR rats. The values are means ± SDs; n = 3. (<b>A</b>) Western blot analysis of NLRP3 and GAPDH in ovarian tissues at four weeks of treatment. (<b>B</b>) Quantitative analysis of NLRP3 levels in ovarian tissues at four weeks of treatment. (<b>C</b>) Expression levels of NLRP3 mRNA in ovarian tissues at four weeks of treatment. (<b>D</b>) Western blot analysis of Caspase-1 and GAPDH in ovarian tissues at four weeks of treatment. (<b>E</b>) Quantitative analysis of Caspase-1 levels in ovarian tissues at four weeks of treatment. (<b>F</b>) Expression levels of Caspase-1 mRNA in ovarian tissues at four weeks of treatment. Relative to the normal group, <sup>##</sup> <span class="html-italic">p &lt;</span> 0.01; relative to the PCOS-IR group, * <span class="html-italic">p &lt;</span> 0.05; ** <span class="html-italic">p &lt;</span> 0.01.</p>
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<p>The influence of LrB on expression of LKB1 and AMPK in the ovaries of PCOS-IR rats. The values are means ± SDs; n = 5. (<b>A</b>) Expression of AMPK in the ovarian tissues of each group at four weeks of treatment (magnification 10×, 40×). (<b>B</b>) Expression of LKB1 in the ovarian tissues of each group at four weeks of treatment (magnification 10×, 40×). (<b>C</b>) Positive expression of AMPK was analyzed. (<b>D</b>) Positive expression of LKB1 was analyzed. Relative to the normal group, <sup>##</sup> <span class="html-italic">p &lt;</span> 0.01; relative to the PCOS-IR group, * <span class="html-italic">p &lt;</span> 0.05; ** <span class="html-italic">p &lt;</span> 0.01.</p>
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<p>The influence of LrB on expression of LKB1 and AMPK in the ovaries of PCOS-IR rats. The values are means ± SDs; n = 5. (<b>A</b>) Expression of AMPK in the ovarian tissues of each group at four weeks of treatment (magnification 10×, 40×). (<b>B</b>) Expression of LKB1 in the ovarian tissues of each group at four weeks of treatment (magnification 10×, 40×). (<b>C</b>) Positive expression of AMPK was analyzed. (<b>D</b>) Positive expression of LKB1 was analyzed. Relative to the normal group, <sup>##</sup> <span class="html-italic">p &lt;</span> 0.01; relative to the PCOS-IR group, * <span class="html-italic">p &lt;</span> 0.05; ** <span class="html-italic">p &lt;</span> 0.01.</p>
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<p>Animal grouping and handling procedures.</p>
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15 pages, 2912 KiB  
Article
A Method for Developing Seismic Hazard-Consistent Fragility Curves for Soil Liquefaction Using Monte Carlo Simulation
by Fu-Kuo Huang and Grace S. Wang
Appl. Sci. 2024, 14(20), 9482; https://doi.org/10.3390/app14209482 - 17 Oct 2024
Abstract
The objective of this study is to present a method for developing fragility curves for soil liquefaction that align with seismic hazards using Monte Carlo simulation. This approach can incorporate all uncertainties and variabilities in the input parameters. The seismic parameters, including earthquake [...] Read more.
The objective of this study is to present a method for developing fragility curves for soil liquefaction that align with seismic hazards using Monte Carlo simulation. This approach can incorporate all uncertainties and variabilities in the input parameters. The seismic parameters, including earthquake magnitude (M) and associated peak ground acceleration (PGA), are jointly considered for the liquefaction assessment. The liquefaction potential and the resulting damages obtained by this method are more realistic. A case study is conducted using data from a sand-boil site in Yuanlin, Changhua County, where liquefaction occurred during the 1999 Chi-Chi earthquake in Taiwan. The findings indicate that the liquefaction potential index, IL, the post-liquefaction settlement, St, and the liquefaction probability index, PW, are all appropriate parameters for assessing liquefaction damages. The fragility curves for soil liquefaction developed through this method can support the performance-based earthquake engineering (PBEE) approach, provide guidance for liquefaction evaluation to the Taiwan Earthquake Loss Estimation System (TELES), and serve as a foundation for scenario simulation and an earthquake early warning system for liquefaction damages. Full article
(This article belongs to the Special Issue Geotechnical Earthquake Engineering: Current Progress and Road Ahead)
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<p>Procedures for seismic hazard analysis.</p>
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<p>Seismic zone and epicentral distribution for events with <span class="html-italic">M</span> &gt; 5.0. (<b>a</b>) Shallow seismic zone; (<b>b</b>) deep seismic zone.</p>
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<p>Flowchart of liquefaction hazard analysis.</p>
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<p>The old well and the soil profile of the BH-29 site near the well. (<b>a</b>) The old well filled with boiling sand [<a href="#B26-applsci-14-09482" class="html-bibr">26</a>]. (<b>b</b>) Soil profile of the BH-29 site.</p>
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<p>Relationship of PGA between soft and hard site conditions [<a href="#B5-applsci-14-09482" class="html-bibr">5</a>].</p>
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<p>Fragility for <span class="html-italic">I<sub>L</sub></span> of the BH-29 site. (<b>a</b>) Fragility curves for the liquefaction potential index (<span class="html-italic">I<sub>L</sub></span>). (<b>b</b>) The probability mass of fragility for <span class="html-italic">I<sub>L</sub></span>.</p>
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<p>Fragility for <span class="html-italic">S<sub>t</sub></span> of the BH-29 site. (<b>a</b>) Fragility curves for liquefaction-induced settlement (<span class="html-italic">S<sub>t</sub></span>). (<b>b</b>) Probability mass of the fragility for <span class="html-italic">S<sub>t</sub></span>.</p>
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<p>Fragility for <span class="html-italic">P<sub>W</sub></span> of the BH-29 site. (<b>a</b>) Fragility curves for the liquefaction probability index (<span class="html-italic">P<sub>W</sub>).</span> (<b>b</b>) Probability mass of the fragility for <span class="html-italic">P<sub>W</sub></span>.</p>
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15 pages, 2047 KiB  
Article
High-CBD Extract (CBD-X) in Asthma Management: Reducing Th2-Driven Cytokine Secretion and Neutrophil/Eosinophil Activity
by Miran Aswad, Antonina Pechkovsky, Narmeen Ghanayiem, Haya Hamza, Yaniv Dotan and Igal Louria-Hayon
Pharmaceuticals 2024, 17(10), 1382; https://doi.org/10.3390/ph17101382 - 17 Oct 2024
Viewed by 111
Abstract
Background/Objectives: Asthma is a chronic inflammatory disorder of the airways affecting over 10% of the global population. It is characterized by airway inflammation, mucus hypersecretion, and bronchial hyperresponsiveness, driven predominantly by type 2 helper T cells (Th2) and type 2 innate lymphoid cells [...] Read more.
Background/Objectives: Asthma is a chronic inflammatory disorder of the airways affecting over 10% of the global population. It is characterized by airway inflammation, mucus hypersecretion, and bronchial hyperresponsiveness, driven predominantly by type 2 helper T cells (Th2) and type 2 innate lymphoid cells (ILC2s) in a subset of patients. However, a significant portion of asthmatic individuals present with “type 2-low” asthma that is often refractory to standard inhaled corticosteroid (ICS) therapy. Therefore, developing innovative therapeutic strategies has become essential. Recent studies have highlighted cannabidiol (CBD) as a promising anti-inflammatory agent capable of modulating immune responses. This study investigates the therapeutic potential of a high-CBD extract (CBD-X) in asthma. Methods: We evaluated the effects of CBD-X on cells involved in asthma pathogenesis using primary human Th2 cells, neutrophils, and asthma mouse model. Results: Our findings indicate that CBD-X extract inhibits Th2 differentiation and reduces the secretion of IL-5 and IL-13, which are crucial cytokines in asthma. Additionally, CBD-X significantly reduces pro-inflammatory cytokines IL-8 and IL-6 in neutrophils and impairs their migration, a critical step in airway inflammation. In a murine asthma model, CBD-X administration led to marked downregulation of IgE and pro-asthmatic cytokines, along with reduced leukocyte, eosinophil, and neutrophil infiltration in lung tissues. Conclusions: These results suggest that CBD-X extract could offer a novel and complementary approach to managing both type 2-high and type 2-low asthma by targeting key inflammatory pathways and modulating immune cell behavior. Full article
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<p>CBD-X extract attenuates the differentiation and cytokine release of human T helper 2 (Th2) cells. CBD-X extract was added to isolated differentiated CD4 T cells. Then, Th2 cells were subjected to flow cytometry analysis. CBD-X-treated cells and their control cells were stained with human APC-CD4, BV421- CCR4 and FITC-CCR6. The means and standard deviations of the percentage of Th2 (CCR4+CCR6-) from CD4 population were calculated. (<b>a</b>) The means were calculated from three different experiments of ten healthy donors. Data were analyzed in comparison to differentiated DMSO treatment representative results for CBD-X-treated cells and their control cells are shown (<b>b</b>). Moreover, supernatants were collected and levels of pro-inflammatory cytokines IL5 (<b>c</b>) and IL-13 (<b>d</b>) were detected via ELISA. The means were calculated from healthy donors (black big dot); each dot represents one case. Data were normalized to differentiated cell groups and analyzed via one-way ANOVA (Fisher’s LSD test with values <span class="html-italic">p</span> &lt; 0.05 considered statistically significant, (* <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>CBD-X downregulates the secretion of pro-inflammatory cytokines from human neutrophils. Isolated neutrophils were treated with 2 µg/mL CBD-X. Treated cells were activated via 100 ng/mL LPS overnight. Levels of IL-8 and IL-6 (<b>a</b>,<b>b</b>) were detected via ELISA. Each colored dot represents one donor. The means were calculated from healthy donors (black big dot) and each dot represents one case. Data were analyzed via one-way ANOVA (Fisher’s LSD test with values <span class="html-italic">p</span> &lt; 0.05 considered statistically significant, (** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>CBD-X extract inhibits the migration of neutrophils induced by IL-8. CBD-X-treated neutrophils were seeded onto the 3 µm pore polyester membrane in the upper chamber of a 24-well Boyden chamber. Human IL-8 in a concentration of 1 ng/mL was placed in the lower chamber. After three hours, cells that had migrated through the pores into the lower chamber were collected and subjected to flow cytometry analysis. (<b>a</b>) Representative results for migrated neutrophils toward IL-8 after treatment with (1 and 2 µg/mL) CBD-X. The colors in the dot plots represent the quantity of the cells. The lightest color (i.e., blue) would represent the low number of cells. In contrast, green, yellow and red would represent increasing values, with red indicating the highest values. (<b>b</b>) The number of migrated neutrophils. The means were calculated from healthy donors (black big dot) and each dot represents one case. Data were analyzed in comparison to the “IL-8, DMSO” group and analyzed via One-way ANOVA (Fisher’s LSD test with values <span class="html-italic">p</span> &lt; 0.05 considered statistically significant, (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>CBD-X extract attenuates serum OVA- IgE and BALF cytokine levels in an asthma mouse model. BALB/c mice were induced with OVA and were treated with 150 mg/kg CBD-X extract. Mice were euthanized, blood and lung fluids were collected. Levels of serum OVA- IgE (<b>a</b>) were detected via ELISA. Alternatively, levels of the pro-inflammatory IL-4 (<b>b</b>), IL-5 (<b>c</b>), and IL-13 (<b>d</b>) were also detected in the lung fluids via ELISA. Each colored dot represents one mouse. Standard deviations were calculated as the means of three biologically independent experiments (black big dot); <span class="html-italic">n</span> = 10. Data were analyzed via one-way ANOVA (Fisher’s LSD test with values <span class="html-italic">p</span> &lt; 0.05 considered statistically significant, (* <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).</p>
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<p>CBD-X extract inhibits migration of leukocytes to OVA-induced asthma lungs. Mice were induced with OVA-induced asthma and were treated with 150 mg/kg of CBD-X extract. Then, mice were sacrificed and lung fluids were collected. (<b>a</b>) Cells in the lung fluids were stained with anti-mouse APC-CD45, anti-mouse FITC- F480, anti-mouse BV786-LY6G, and PE- Siglec F for flow cytometry analysis. Numbers of leukocytes, eosinophils, macrophages, and neutrophils were calculated in the three different treatments; PBS- vehicle (Black bars), OVA- vehicle (Red bars) and OVA- CBD-X (green bars) (<b>a</b>). The gating strategy is (<b>b</b>) FSC vs. SSC, (<b>c</b>) APC-CD45 vs. SSC, and (<b>d</b>) BV786-LY6G vs. FITC-F4/80. (<b>e</b>) PE- Siglec F vs. SSC out of the negative population gate in (<b>d</b>). The colors in the dot plots represent the quantity of the cells. The lightest color (i.e., blue) would represent the low number of cells. In contrast, green, yellow and red would represent increasing values, with red indicating the highest values. Averages and standard deviations were calculated as the means of two biologically independent experiments, each experiment included five mice per group. Data were analyzed via mixed-effects model (Fisher’s LSD test with values <span class="html-italic">p</span> &lt; 0.05 considered statistically significant, (*** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>CBD-X treatment in a mouse model of OVA-induced asthma. For sensitization, BALB/c mice received an i.p injection of OVA (100 µg) with 3 mg/mL Inject (Alum) (aluminum hydroxide (40 mg/mL) and magnesium hydroxide (40 mg/mL) on days 1, 7, and 14. PBS was injected as a control. The mice were challenged with an (intranasal) i.n injection of OVA (150 µg) or PBS on days 21, 23, and 26. Mice were injected intraperitoneally with 150 mg/kg CBD-X extract or vehicle as a control on days 20, 21, 23, and 26. After 3 h of the last challenge, mice were euthanized and lung fluids were collected using PBS through lavage.</p>
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19 pages, 716 KiB  
Review
Genetic Variants of Obesity in Malaysia: A Scoping Review
by Siti Sarah Hamzah, Liyana Ahmad Zamri, Norhashimah Abu Seman and Nur Azlin Zainal Abidin
Genes 2024, 15(10), 1334; https://doi.org/10.3390/genes15101334 - 17 Oct 2024
Viewed by 102
Abstract
Background: Obesity is a pressing public health issue in Malaysia, involving not only excess weight but also complex metabolic and physiological changes. Addressing these complexities requires comprehensive strategies, including understanding the population-level differences in obesity susceptibility. This review aims to compile the genetic [...] Read more.
Background: Obesity is a pressing public health issue in Malaysia, involving not only excess weight but also complex metabolic and physiological changes. Addressing these complexities requires comprehensive strategies, including understanding the population-level differences in obesity susceptibility. This review aims to compile the genetic variants studied among Malaysians and emphasize their implications for obesity risk. Methods: Relevant articles published up to March 2024 were extracted from the Scopus, PubMed, and ScienceDirect databases. The review process was conducted in accordance with the PRISMA-ScR guidelines. From an initial pool of 579 articles, 35 of these were selected for the final review. Results: The identified gene variants, including LEPR (K656N), LEP (G2548A—Indian only), ADIPOQ (rs17366568), UCP2 (45bp-I/D), ADRB3 (rs4994), MC3R (rs3827103), PPARγ (pro12Ala—Malay only), IL1RA (intron 2 VNTR), NFKB1 (rs28362491), and FADS1 (rs174547—Indian only), showed significant associations with obesity as measured by the respective studies. Conclusions: Overall, more intensive genetic research is needed, starting with population-based profiling of genetic data on obesity, including among children. Sociocultural contexts and environmental factors influence variations in genetic elements, highlighting the need for targeted interventions to mitigate the impacts of obesity in the population. Full article
(This article belongs to the Special Issue Genetics and Epigenetics of Metabolic Diseases)
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<p>PRISMA flowchart outlining selection process for including studies in the review.</p>
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<p>STRING protein networks of genes associated with monogenic obesity.</p>
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17 pages, 3970 KiB  
Article
Rats Exposed to Excess Sucrose During a Critical Period Develop Inflammation and Express a Secretory Phenotype of Vascular Smooth Muscle Cells
by Verónica Guarner-Lans, Elizabeth Soria-Castro, Agustina Cano-Martínez, María Esther Rubio-Ruiz, Gabriela Zarco, Elizabeth Carreón-Torres, Oscar Grimaldo, Vicente Castrejón-Téllez and Israel Pérez-Torres
Metabolites 2024, 14(10), 555; https://doi.org/10.3390/metabo14100555 - 17 Oct 2024
Viewed by 108
Abstract
Background: Neonatal rats that receive sucrose during a critical postnatal period (CP, days 12 to 28) develop hypertension by the time they reach adulthood. Inflammation might contribute to changes during this period and could be associated with variations in the vascular smooth muscle [...] Read more.
Background: Neonatal rats that receive sucrose during a critical postnatal period (CP, days 12 to 28) develop hypertension by the time they reach adulthood. Inflammation might contribute to changes during this period and could be associated with variations in the vascular smooth muscle (VSMC) phenotype. Objective: We studied changes in inflammatory pathways that could underlie the expression of the secretory phenotype in the VSMC in the thoracic aorta of rats that received sucrose during CP. Methods: We analyzed histological changes in the aorta and the expression of the COX-2, TLR4, iNOS, eNOS, MMP-2 and -9, and β- and α-actin, the quantities of TNF-α, IL-6, and IL-1β using ELISA, and the levels of fatty acids using gas chromatography. Results: The aortic wall presented disorganization, decellularization, and wavy elastic fibers and an increase in the lumen area. The α- and β-actin expressions were decreased, while COX-2, TLR4, TNF-α, and the activity of IL-6 were increased. Oleic acid was increased in CP in comparison to the control group. Conclusions: There is transient hypertension at the end of the CP that is accompanied by inflammation and a change in the phenotype of VSMC to the secretory phenotype. The inflammatory changes could act as epigenetic signals to determine the development of hypertension when animals reach adulthood. Full article
(This article belongs to the Special Issue Impact of Macronutrients on Metabolism)
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<p>Flow chart for the management of the experimental animals.</p>
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<p>Histological changes of the aortic rings from control rats receiving the normal diet (<b>A</b>,<b>C</b>) and rats exposed to sucrose in the drinking water during the CP (<b>B</b>,<b>D</b>). The pink-stained images were acquired from histological sections stained with HE using a bright field microscope coupled to a camera (see <a href="#sec2-metabolites-14-00555" class="html-sec">Section 2</a>). From the same sections with HE staining, images in a gray tone were acquired with the relief phase color channel for close-ups in which the differences in the structure of the aortic wall between the two groups are distinguished in more detail. In the lower-right gray image, the locations of undulations (black arrow) and aneurysms (white arrows) are indicated. On the right side of the image, the graphs of the comparison of the measurements of the thickness (<b>E</b>) and the total area of the wall (<b>F</b>), as well as the total area of the aortic lumen (<b>G</b>), are shown. Values represent the mean ± standard error (<span class="html-italic">n</span> = 6), * <span class="html-italic">p</span> = 0.01, *** <span class="html-italic">p</span> = 0.001 (<a href="#metabolites-14-00555-f001" class="html-fig">Figure 1</a>).</p>
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<p>Immunohistochemistry for COX-2, iNOS, and eNOS in control aortas and aortas from rats that received sucrose during the CP. Panels (<b>A</b>,<b>C</b>,<b>E</b>) (COX-2, iNOS, and eNOS in the C group, respectively) and panels (<b>B</b>,<b>D</b>,<b>F</b>) (COX-2, iNOS and eNOS in the CP group, respectively). *** <span class="html-italic">p</span> &lt; 0.001. Values represent the mean ± SE, <span class="html-italic">n</span> = 10, per group. Abbreviations: EF = elastic fibers, E = endothelium, MZ = muscular zone.</p>
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<p>Immunohistochemistry for TLR4 in control aortas (<b>A</b>) and aortas from rats that received sucrose during the CP (<b>B</b>). * <span class="html-italic">p</span> &lt; 0.03 Values represent the mean ± SE (<span class="html-italic">n</span> = 10 per group). Abbreviations: EF = elastic fibers, E = endothelium, MZ = muscular zone.</p>
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<p>Concentrations of interleukins IL-1β (<b>A</b>), IL-6 (<b>B</b>), and TNF-α (<b>C</b>) in serum from control and CP rats.. Values represent the mean ± SE (n = 8 per group), * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Changes in the expression of SMA (<b>A</b>) and β-actin (<b>B</b>) in thoracic aortas from C rats and CP rats. Values represent the mean ± SE (<span class="html-italic">n</span> = 8 animals per group). * <span class="html-italic">p</span> &lt; 0.05. Representative western blot images are included in the lower panel. AU refers to arbitrary units, which are determined as the relative density of the band of the protein of interest in relation to the control of charge protein (GAPDH).</p>
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<p>Changes in the expression of MMP-2 (<b>A</b>) and -9 (<b>B</b>) in thoracic aortas from control rats receiving the normal diet (C) and rats receiving sucrose during the critical period (CP). Values represent the mean ± SE, <span class="html-italic">n</span> = 8 animals per group. * <span class="html-italic">p</span> &lt; 0.05. Representative western blot images are included in the lower panel. AU refers to arbitrary units which are determined as the relative density of the band of the protein of interest in relation to the control of charge protein (GAPDH).</p>
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<p>Excess consumption of sucrose in drinking water during the CP of vessel development in rats results in transitory hypertension accompanied by a change in the phenotype of VSMCs to the secretory type. There is a decrease in smooth muscle of β- and α-actin, which could act as an epigenetic cue to determine the development of hypertension when the animals reach adulthood. This change in the phenotype might be induced by increased inflammation characterized by increased levels of TNF-α, IL-6, and an increase in the expression of COX-2, TLR-4, and MMP-9, arrow-up = increase, arrow-down= decrease.</p>
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16 pages, 3185 KiB  
Article
The Effect of Szigetvár Medicinal Water on HaCaT Cells Exposed to Dithranol
by István Szabó, Ágnes Szenczi, Afshin Zand, Tímea Varjas and Csaba Varga
Life 2024, 14(10), 1318; https://doi.org/10.3390/life14101318 - 17 Oct 2024
Viewed by 126
Abstract
(1) Introduction: Topical dithranol is still commonly used today as an effective treatment for psoriasis. Dithranol treatment is often supplemented with balneotherapy, which has been shown to increase effectiveness and reduce side effects. The inorganic salts (sulfhide, selenium, zinc) are usually thought to [...] Read more.
(1) Introduction: Topical dithranol is still commonly used today as an effective treatment for psoriasis. Dithranol treatment is often supplemented with balneotherapy, which has been shown to increase effectiveness and reduce side effects. The inorganic salts (sulfhide, selenium, zinc) are usually thought to be responsible for the effect. The antioxidant effect of the waters is thought to be behind the therapeutic effect, for which inorganic substances (sulfides, selenium, zinc) are thought to be responsible. The organic matter content of medicinal waters is also particularly important, as humic acids, which are often found in medicinal waters, have antioxidant effects. (2) Methods: In this short-term experiment, we aimed to test the possible protective effect of Szigetvár medicinal water and its organic matter isolate on HaCaT cells exposed to dithranol. Malondialdehyde levels were measured, and RT-qPCR was used to investigate the gene expression of selected cytokines relevant in the oxidative stress response (IL-6, IL-8, TNF-α, GM-CSF) and the expression of microRNA-21. (3) Results: Szigetvár medicinal water and the organic isolate prevented the increase in malondialdehyde levels caused by dithranol treatment. The cytokine gene expressions elevated by dithranol exposure were reduced by the treatment. (4) Conclusions: Szigetvár medicinal water and organic substances alone may have a protective effect on patients’ healthy skin surfaces against dithranol damage. We also demonstrated that the organic compounds are also responsible for the protective effect. Full article
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<p>The sequence of the primers used in the experiment.</p>
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<p>(<b>a</b>) Survival of HaCaT cells in different dilutions of Szigetvár organic matter isolate in 3 h. (<b>b</b>) Survival of HaCaT cell in different concentrations of Szigetvár medicinal water containing cell culture medium (SVNM). 6×–3000×–dilution of the isolate (Composition shown in <a href="#life-14-01318-t001" class="html-table">Table 1</a>) in 10–90% Szigetvár medicinal water content of different studied SVNMs.</p>
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<p>Amount of MDA (nmol/sample) in HaCaT cells in different experimental settings (See <a href="#life-14-01318-t002" class="html-table">Table 2</a>). (* = <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Relative gene expression level of TNF-α in HaCaT cells treated according to the experimental protocol. (* = <span class="html-italic">p</span> &lt; 0.05). DTH—dithranol; 120×, 600×, 1200×-dilution of the tested organic matter isolate (Composition shown in <a href="#life-14-01318-t001" class="html-table">Table 1</a>); SVNM—Cell culture medium with 90% Szigetvár medicinal water content.</p>
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<p>Relative gene expression level of GM-CSF in HaCaT cells treated according to the experimental protocol. (* = <span class="html-italic">p</span> &lt; 0.05). DTH—dithranol; 120×, 600×, 1200×-dilution of the tested organic matter isolate (Composition shown in <a href="#life-14-01318-t001" class="html-table">Table 1</a>); SVNM—Cell culture medium with 90% Szigetvár medicinal water content.</p>
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<p>Relative gene expression level of IL-6 in HaCaT cells treated according to the experimental protocol. (* = <span class="html-italic">p</span> &lt; 0.05). DTH—dithranol; 120×, 600×, 1200×—dilution of the tested organic matter isolate (Composition shown in <a href="#life-14-01318-t001" class="html-table">Table 1</a>.); SVNM—Cell culture medium with 90% Szigetvár medicinal water content.</p>
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<p>Relative gene expression level of IL-8 in HaCaT cells treated according to the experimental protocol. (* = <span class="html-italic">p</span> &lt; 0.05). DTH—dithranol; 120×, 600×, 1200×-dilution of the tested organic matter isolate (Composition shown in <a href="#life-14-01318-t001" class="html-table">Table 1</a>); SVNM—Cell culture medium with 90% Szigetvár medicinal water content.</p>
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<p>Relative gene expression level of miR-21 in HaCaT cells treated according to the experimental protocol. (* = <span class="html-italic">p</span> &lt; 0.05). DTH—dithranol; 120×, 600×, 1200×-dilution of the tested organic matter isolate (Composition shown in <a href="#life-14-01318-t001" class="html-table">Table 1</a>); SVNM—Cell culture medium with 90% Szigetvár medicinal water content.</p>
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17 pages, 315 KiB  
Article
Assessing the Usefulness of Interleukin-8 as a Biomarker of Inflammation and Metabolic Dysregulation in Dairy Cows
by Kamila Puppel, Jan Slósarz, Paweł Solarczyk, Grzegorz Grodkowski, Piotr Kostusiak, Aleksandra Kalińska, Marek Balcerak, Małgorzata Kunowska-Slósarz and Marcin Gołębiewski
Int. J. Mol. Sci. 2024, 25(20), 11129; https://doi.org/10.3390/ijms252011129 - 16 Oct 2024
Viewed by 320
Abstract
The study aimed to evaluate interleukin-8 (IL-8) as a biomarker for udder inflammation in dairy cows and to explore its associations with various metabolic parameters indicative of systemic inflammation and metabolic dysregulation. Dairy cows (multiparous) were categorized into five somatic cell count (SCC) [...] Read more.
The study aimed to evaluate interleukin-8 (IL-8) as a biomarker for udder inflammation in dairy cows and to explore its associations with various metabolic parameters indicative of systemic inflammation and metabolic dysregulation. Dairy cows (multiparous) were categorized into five somatic cell count (SCC) classes: Class I (<100,000 cells/mL; n = 45), Class II (100,000–200,000 cells/mL; n = 62), Class III (201,000–400,000 cells/mL; n = 52), Class IV (401,000–1,000,000 cells/mL; n = 73), and Class V (>1,000,000 cells/mL; n = 56). The study quantified IL-8 levels and analyzed their correlations with NEFAs (non-esterified fatty acids), BHBA (beta-hydroxybutyrate), GGTP (gamma-glutamyltransferase), and AspAT (aspartate aminotransferase). IL-8 concentrations demonstrated a significant and progressive increase across the SCC classes, establishing a strong positive correlation with SCC (p < 0.01). Additionally, IL-8 levels exhibited positive correlations with GGTP (p < 0.01) and AspAT (p < 0.01), indicating that elevated IL-8 is associated with increased hepatic enzyme activities and potential liver dysfunction. Furthermore, IL-8 showed significant positive correlations with NEFAs (p < 0.01) and BHBA (p < 0.05), linking higher IL-8 levels to metabolic disturbances such as ketosis and negative energy balance. Variations in metabolic parameters, including NEFAs, BHBA, GGTP, and AspAT, across the SCC classes underscored the association between elevated SCC levels and metabolic dysregulation in dairy cows. These findings highlight the interrelated nature of the inflammatory responses and metabolic disturbances in dairy cattle, emphasizing that an elevated SCC not only signifies udder inflammation but also correlates with systemic metabolic alterations indicative of ketosis and liver damage. Full article
(This article belongs to the Special Issue The Role of Enzymes in Metabolic Processes)
32 pages, 910 KiB  
Review
Interleukin-12 Delivery Strategies and Advances in Tumor Immunotherapy
by Chunyan Dong, Dejiang Tan, Huimin Sun, Zhuang Li, Linyu Zhang, Yiyang Zheng, Sihan Liu, Yu Zhang and Qing He
Curr. Issues Mol. Biol. 2024, 46(10), 11548-11579; https://doi.org/10.3390/cimb46100686 (registering DOI) - 16 Oct 2024
Viewed by 349
Abstract
Interleukin-12 (IL-12) is considered to be a promising cytokine for enhancing an antitumor immune response; however, recombinant IL-12 has shown significant toxicity and limited efficacy in early clinical trials. Recently, many strategies for delivering IL-12 to tumor tissues have been developed, such as [...] Read more.
Interleukin-12 (IL-12) is considered to be a promising cytokine for enhancing an antitumor immune response; however, recombinant IL-12 has shown significant toxicity and limited efficacy in early clinical trials. Recently, many strategies for delivering IL-12 to tumor tissues have been developed, such as modifying IL-12, utilizing viral vectors, non-viral vectors, and cellular vectors. Previous studies have found that the fusion of IL-12 with extracellular matrix proteins, collagen, and immune factors is a way to enhance its therapeutic potential. In addition, studies have demonstrated that viral vectors are a good platform, and a variety of viruses such as oncolytic viruses, adenoviruses, and poxviruses have been used to deliver IL-12—with testing previously conducted in various cancer models. The local expression of IL-12 in tumors based on viral delivery avoids systemic toxicity while inducing effective antitumor immunity and acting synergistically with other therapies without compromising safety. In addition, lipid nanoparticles are currently considered to be the most mature drug delivery system. Moreover, cells are also considered to be drug carriers because they can effectively deliver therapeutic substances to tumors. In this article, we will systematically discuss the anti-tumor effects of IL-12 on its own or in combination with other therapies based on different delivery strategies. Full article
(This article belongs to the Special Issue Targeting Tumor Microenvironment for Cancer Therapy, 3rd Edition)
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<p>Antitumor activity of IL-12 delivered by different strategies.</p>
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12 pages, 2239 KiB  
Article
Some Glycoproteins Expressed on the Surface of Immune Cells and Cytokine Plasma Levels Can Be Used as Potential Biomarkers in Patients with Colorectal Cancer
by Tsvetelina Batsalova, Denitsa Uzunova, Gergana Chavdarova, Tatyana Apostolova and Balik Dzhambazov
Biomolecules 2024, 14(10), 1314; https://doi.org/10.3390/biom14101314 - 16 Oct 2024
Viewed by 343
Abstract
Colorectal cancer (CRC) is a leading cause of mortality worldwide. Its incidence holds a major position among the most common life-threatening diseases. Hence, the early identification and precise characterization of disease activity based on proper biomarkers are of utmost importance for therapeutic strategy [...] Read more.
Colorectal cancer (CRC) is a leading cause of mortality worldwide. Its incidence holds a major position among the most common life-threatening diseases. Hence, the early identification and precise characterization of disease activity based on proper biomarkers are of utmost importance for therapeutic strategy and patient survival. The identification of new biomarkers for colorectal cancer or disease-specific levels/combinations of biomarkers will significantly contribute to precise diagnosis and improved personalized treatment of patients. Therefore, the present study aims to identify colorectal cancer-specific immunological biomarkers. The plasma levels of several cytokines (interleukin-1β /IL-1β/, IL-2, IL-4, IL-10, IL-12, IL-15, TGFβ and IFNγ) of 20 patients with colorectal cancer and 21 healthy individuals were determined by ELISA. The expression of several types of glycoproteins on the surface of peripheral blood leukocytes isolated from CRC patients and healthy volunteers was evaluated by flow cytometry. Correlations between cytokine levels and cell surface glycoprotein expression were analyzed. The obtained results demonstrated significantly elevated levels of CD80, CD86, CD279 and CD274 expressing leukocyte populations in the cancer patient group, while the numbers of NK cells and CD8- and CD25-positive cells were decreased. Based on these data and the correlations with cytokine levels, it can be concluded that CD25, CD80, CD86, CD274 and CD279 glycoproteins combined with specific plasma levels of IL-1β, IL-2, IL-15 and TGFβ could represent potential biomarkers for colorectal cancer. Full article
(This article belongs to the Special Issue Immune-Related Biomarkers: 2nd Edition)
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<p>Plasma concentrations of inflammatory cytokines in stage IV CRC patients and control healthy volunteers. Levels of IL-1β (<b>A</b>), IL-2 (<b>B</b>), IL-4 (<b>C</b>), IL-10 (<b>D</b>), IL-12 (<b>E</b>), IL-13 (<b>F</b>), IL-15 (<b>G</b>), TGFβ (<b>H</b>) and IFNγ (<b>I</b>). Data represent ± standard error of the mean (±SEM). A Mann–Whitney <span class="html-italic">U</span> test was used for statistical analyses. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Flow cytometry analyses of the expression of T-cell-specific markers on peripheral blood leukocytes derived from stage IV CRC patients and healthy individuals. CD4<sup>+</sup> T cells (<b>A</b>), CD8<sup>+</sup> T cells (<b>B</b>), CD25<sup>+</sup> T cells (<b>C</b>), CD28<sup>+</sup> T cells (<b>D</b>), CD152<sup>+</sup> T cells (<b>E</b>), and CD279<sup>+</sup> T cells (<b>F</b>). The results are presented as ±SEM. Statistical significance was defined by the Mann–Whitney <span class="html-italic">U</span> test. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Levels of CD20<sup>+</sup> B cells, NK cells and expression of some B7 family molecules in the peripheral blood of stage IV CRC patients and healthy controls. Percentage of CD20<sup>+</sup> B cells (<b>A</b>), CD80<sup>+</sup> B cells (<b>B</b>), CD86<sup>+</sup> B cells (<b>C</b>), CD273<sup>+</sup> lymphocytes (<b>D</b>), CD274<sup>+</sup> lymphocytes (<b>E</b>), and CD56<sup>+</sup>/CD16<sup>+</sup> NK cells (<b>F</b>). Data are shown as ±SEM. Statistical analyses were performed using the Mann–Whitney <span class="html-italic">U</span> test; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Correlations between IL-2 and IL-15 plasma concentrations with other cytokines. First column: IL-2 vs. IL-1β (<b>A</b>), IL-2 vs. TGFβ (<b>C</b>), IL-2 vs. IFNγ (<b>E</b>), IL-2 vs. IL-15 (<b>G</b>), IL-2 vs. IL-12 (<b>I</b>); Second column: IL-15 vs. IL-12 (<b>B</b>), IL-15 vs. IL-1β (<b>D</b>), IL-15 vs. IL-13 (<b>F</b>), IL-15 vs. TGFβ (<b>H</b>), and IL-2 vs. IL-12 only for CRC patients (<b>J</b>). The charts indicate Spearman’s rank correlation coefficient (ρ). * <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.</p>
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<p>Correlations between circulating cytokines and immunomodulatory molecule expression levels determined for the stage IV CRC patient group. IL-15 vs. CD279<sup>+</sup> cells (<b>A</b>), IL-1β vs. CD86<sup>+</sup> cells (<b>B</b>) and CD8<sup>+</sup> vs. CD279<sup>+</sup> cells (<b>C</b>). The graphs show Spearman’s rank correlation coefficient (ρ). * <span class="html-italic">p</span> &lt; 0.05.</p>
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