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Int. J. Mol. Sci., Volume 17, Issue 5 (May 2016) – 180 articles

Cover Story (view full-size image): Ionic liquid crystals combine the properties of ionic liquids and liquid crystals. They are often composed of an anisotropic (rod-shaped) organic cation (dark blue rods) and small organic or inorganic anions (light blue). Studies of crossed polarizers reveal beautiful defect textures that are characteristic of the liquid crystalline phase, i.e., the type of order shown. The molecules in the schematic drawing and the texture in the background show the smectic A phase, a one-dimensionally ordered phase that is most commonly found in ionic liquid crystals. By Paul H. J. Kouwer. View this article.
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3543 KiB  
Review
Prodrug Strategies for Paclitaxel
by Ziyuan Meng, Quanxia Lv, Jun Lu, Houzong Yao, Xiaoqing Lv, Feng Jiang, Aiping Lu and Ge Zhang
Int. J. Mol. Sci. 2016, 17(5), 796; https://doi.org/10.3390/ijms17050796 - 23 May 2016
Cited by 75 | Viewed by 11835
Abstract
Paclitaxel is an anti-tumor agent with remarkable anti-tumor activity and wide clinical uses. However, it is also faced with various challenges especially for its poor water solubility and low selectivity for the target. To overcome these disadvantages of paclitaxel, approaches using small molecule [...] Read more.
Paclitaxel is an anti-tumor agent with remarkable anti-tumor activity and wide clinical uses. However, it is also faced with various challenges especially for its poor water solubility and low selectivity for the target. To overcome these disadvantages of paclitaxel, approaches using small molecule modifications and macromolecule modifications have been developed by many research groups from all over the world. In this review, we discuss the different strategies especially prodrug strategies that are currently used to make paclitaxel more effective. Full article
(This article belongs to the Special Issue Translational Molecular Medicine & Molecular Drug Discovery)
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<p>The structure of paclitaxel.</p>
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<p>Skeletal migration approach for paclitaxel prodrug.</p>
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<p>Trimethyl lock strategy.</p>
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<p>The pH-dependent cleavable dihydroxypropyl side chain.</p>
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<p>Chlorambucil-paclitaxel prodrug.</p>
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<p>Muramyl dipeptide-paclitaxel prodrug.</p>
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<p>Paclitaxel prodrug containing nitric oxide donor.</p>
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<p>Photo responsive paclitaxel.</p>
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<p>Targeting β-<span class="html-small-caps">d</span>-glucuronidase prodrug.</p>
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<p>Targeting PSA (prostate-specific antigen) paclitaxel prodrug.</p>
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<p>Targeting GLUTs (facilitative glucose transporters) prodrug.</p>
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<p>Targeting hypoxia prodrug.</p>
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<p>Targeting integrin prodrug.</p>
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<p>Targeting glutathione prodrug.</p>
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<p>Prodrug for antibody directed enzyme prodrug therapy (ADEPT).</p>
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<p>Dendrimer with 16 paclitaxel binding site and 8 PEG binding sites. Reproduced with permission from Reference [<a href="#B123-ijms-17-00796" class="html-bibr">123</a>]. Green atoms are 1,3,5-Trichlorotriazine, PEG is polyethylene glycol, PTX is Paclitaxel, A is 1,3-Bis(4-piperidyl)propane, B is Piperazine, C is 4-Piperidinemethanamine.</p>
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3831 KiB  
Article
Cold-Induced Browning Dynamically Alters the Expression Profiles of Inflammatory Adipokines with Tissue Specificity in Mice
by Xiao Luo, Ru Jia, Qiangling Zhang, Bo Sun and Jianqun Yan
Int. J. Mol. Sci. 2016, 17(5), 795; https://doi.org/10.3390/ijms17050795 - 23 May 2016
Cited by 21 | Viewed by 6007
Abstract
Cold exposure or β3-adrenoceptor agonist treatment induces the adipose tissues remodeling, relevant for beige adipogenesis within white adipose tissue (WAT). It remains unclear whether this process influences inflammatory adipokines expression in adipose tissues. We determine the temporal profile of cold or [...] Read more.
Cold exposure or β3-adrenoceptor agonist treatment induces the adipose tissues remodeling, relevant for beige adipogenesis within white adipose tissue (WAT). It remains unclear whether this process influences inflammatory adipokines expression in adipose tissues. We determine the temporal profile of cold or β3-adrenoceptor agonist (CL316,243)-induced changes in the expression of inflammatory adipokines in adipose tissues in mice or primary mice adipocytes. Male C57BL/6J mice at eight weeks old were exposed to 4 °C for 1–5 days. Interscapular brown adipose tissue (iBAT), inguinal subcutaneous WAT (sWAT) and epididymal WAT (eWAT) were harvested for gene and protein expression analysis. In addition, cultured primary mice brown adipocyte (BA) and white adipocyte (WA) treated with or without CL316,243 were harvested for gene expression analysis. The inflammatory adipokines expressed significantly higher in WAT than BAT at baseline. They were rapidly changed in iBAT, while down-regulated in sWAT and up-regulated in eWAT during the cold acclimation. Upon CL316,243 treatment, detected inflammatory adipokines except Leptin were transiently increased in both BA and WA. Our in vivo and in vitro data demonstrate that the browning process alters the inflammatory adipokines expression in adipose tissues, which is acutely responded to in iBAT, dynamically decreased in sWAT whilst increased in eWAT for compensation. Full article
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
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<p>Inflammatory adipokines expression levels exhibit depot-specificity in mice adipose tissues at baseline (in room temperature without any treatment). Quantitative PCR analysis of anti-inflammatory (<b>A</b>) and pro-inflammatory (<b>B</b>) adipokines genes expression in iBAT, sWAT and eWAT at baseline. The data show the fold changes of the expressions for the target genes in interscapular brown adipose tissue (iBAT), inguinal subcutaneous WAT (sWAT) and epididymal WAT (eWAT) of RT (room temperature) mice (<span class="html-italic">n</span> = 6 for each group). Values are mean ± S.E.M. and expression of genes is corrected for the housekeeping gene <span class="html-italic">Cyclophilin</span>. (* <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">vs.</span> the expression level of iBAT, while # <span class="html-italic">p</span> &lt; 0.05 <span class="html-italic">vs.</span> the expression level of sWAT.)</p>
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<p>Cold exposure differentially alters the expression of inflammatory adipokines among adipose tissues. Quantitative PCR analysis of anti-inflammatory (<b>A</b>) and pro-inflammatory (<b>B</b>) adipokines genes expression in iBAT, sWAT and eWAT of control mice and mice exposed to Cold (4 °C) up to 5 day. The data show the fold changes of the expression for the target genes in iBAT, sWAT and eWAT of RT and Cold mice (<span class="html-italic">n</span> = 6 for each group). Values are mean ± S.E.M. and expression of genes is corrected for the housekeeping gene <span class="html-italic">Cyclophilin</span>. All the data were normalized to the expression in RT mice respectively to show the cold-induced gene expression differences. Erected bars: genes up-regulated and inverted bars: genes down-regulated compared to the RT mice. (* <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>Cold exposure changes Adiponectin and Leptin protein levels in adipose tissues in mice. (<b>A</b>) Western blot analysis for Adiponectin using total protein isolated from iBAT, sWAT and eWAT of RT and Cold mice. (<span class="html-italic">n</span> = 6 for each group); (<b>B</b>) Quantification of Western blot analysis. Protein content is expressed relative to the control and represents three independent experiments with triplicate observations in each experiment. Volume is the sum of all pixel intensities within a band. All data are normalized to β-tubulin and are expressed as mean ± S.E.M. (* <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); (<b>C</b>) Plasma Adiponectin and Leptin levels in RT and Cold mice were determined by ELISA. (<span class="html-italic">n</span> = 6 per group) All data are presented as mean ± S.E.M. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 for the Cold compared to the RT group.</p>
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<p>Browning transition with increase of browning markers in the cultured mature Brown Adipocyte (BA) and White Adipocyte (WA) after CL316,243 treatment. (<b>A</b>) Morphology of the brown and white adipocytes before (Day 0) and after (Day 9) the differentiation. The mature adipocytes after nine days of differentiation were used for CL316,243 treatment. Scale bar: 200 µm; (<b>B</b>) Quantitative PCR analysis of Ucp-1 and Pgc-1α gene expression in cultured mice brown and white adipocytes after CL316,243 treatment up to 24 h. The data show the fold changes of the expression for the target genes in BA and WA at Hour 0. Values are mean ± S.E.M. from three independent experiments. The expression of genes is corrected for the housekeeping gene <span class="html-italic">Cyclophilin</span> (*** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>CL316,243 treatment alters the expressions of inflammatory adipokines in BA and WA. Quantitative PCR analysis of anti-inflammatory (<b>A</b>) and pro-inflammatory (<b>B</b>) adipokines expression in cultured mice BA and WA after CL316,243 treatment up to 24 h. The data show the fold changes of the expression for the target genes in BA and WA at Hour 0. Values are mean ± S.E.M. from three independent experiments. The expression of genes is corrected for the housekeeping gene <span class="html-italic">Cyclophilin</span> (* <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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Review
Gibberellic Acid: A Key Phytohormone for Spikelet Fertility in Rice Grain Production
by Choon-Tak Kwon and Nam-Chon Paek
Int. J. Mol. Sci. 2016, 17(5), 794; https://doi.org/10.3390/ijms17050794 - 23 May 2016
Cited by 47 | Viewed by 9570
Abstract
The phytohormone gibberellic acid (GA) has essential signaling functions in multiple processes during plant development. In the “Green Revolution”, breeders developed high-yield rice cultivars that exhibited both semi-dwarfism and altered GA responses, thus improving grain production. Most studies of GA have concentrated on [...] Read more.
The phytohormone gibberellic acid (GA) has essential signaling functions in multiple processes during plant development. In the “Green Revolution”, breeders developed high-yield rice cultivars that exhibited both semi-dwarfism and altered GA responses, thus improving grain production. Most studies of GA have concentrated on germination and cell elongation, but GA also has a pivotal role in floral organ development, particularly in stamen/anther formation. In rice, GA signaling plays an important role in spikelet fertility; however, the molecular genetic and biochemical mechanisms of GA in male fertility remain largely unknown. Here, we review recent progress in understanding the network of GA signaling and its connection with spikelet fertility, which is tightly associated with grain productivity in cereal crops. Full article
(This article belongs to the Special Issue Metabolomics in the Plant Sciences)
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<p>Gibberellic acid (GA) signaling in spikelet development. Under GA-deficient conditions, the casein kinase I (EL1) phosphorylates SLENDER RICE1 (SLR1) to increase its activity and stability; then, SLR1 represses the expression of <span class="html-italic">GAMYB</span>. Under GA-sufficient conditions, GA is perceived by GID1 and the resulting conformational change of GID1 allows it to interact with and degrade SLR1 through a SCF<sup>GID2</sup>-mediated proteasome pathway. In the absence of SLR1 activity, <span class="html-italic">GAMYB</span> transcription becomes de-repressed; then, GAMYB protein positively regulates the transcription of several downstream genes for formation of the Ubisch body and exine, as well as for cell death in the tapetum during spikelet development.</p>
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265 KiB  
Review
The Role of Proanthocyanidins Complex in Structure and Nutrition Interaction in Alfalfa Forage
by Arjan Jonker and Peiqiang Yu
Int. J. Mol. Sci. 2016, 17(5), 793; https://doi.org/10.3390/ijms17050793 - 23 May 2016
Cited by 27 | Viewed by 5616
Abstract
Alfalfa (Medicago sativa L.) is one of the main forages grown in the world. Alfalfa is a winter hardy, drought tolerant, N-fixing legume with a good longevity, high yield, high nutrient levels, high digestibility, unique structural to non-structural components ratio, high dry [...] Read more.
Alfalfa (Medicago sativa L.) is one of the main forages grown in the world. Alfalfa is a winter hardy, drought tolerant, N-fixing legume with a good longevity, high yield, high nutrient levels, high digestibility, unique structural to non-structural components ratio, high dry matter intake, and high animal productivity per hectare. However, its main limitation is its excessively rapid initial rate of protein degradation in the rumen, which results in pasture bloat and inefficient use of protein with consequent excessive excretions of nitrogen into the environment. Proanthocyanidins are secondary plant metabolites that can bind with protein and thereby reduce the rate and extent of ruminal protein degradation. However, these secondary metabolites do not accumulate in alfalfa. This review aims to firstly describe the events involved in the rapid release of protein from alfalfa and its effect on ruminant nutrition, environmental pollution, and pasture bloat; secondly, to describe occurrence, structure, functions and benefits of moderate amounts of proanthocyanidin; and finally, to describe the development of alfalfa which accumulates moderate amounts of proanthocyanidins. The emphasis of this review focuses on the role of proanthocyanidins compounds in structure and nutrition interaction in ruminant livestock systems. Full article
(This article belongs to the Section Molecular Plant Sciences)
5870 KiB  
Communication
A Novel Technique to Detect EGFR Mutations in Lung Cancer
by Yuanbin Liu, Ting Lei, Zhiyu Liu, Yanbin Kuang, Jianxin Lyu and Qi Wang
Int. J. Mol. Sci. 2016, 17(5), 792; https://doi.org/10.3390/ijms17050792 - 23 May 2016
Cited by 26 | Viewed by 8737
Abstract
Epidermal growth factor receptor (EGFR) gene mutations occur in multiple human cancers; therefore, the detection of EGFR mutations could lead to early cancer diagnosis. This study describes a novel EGFR mutation detection technique. Compared to direct DNA sequencing detection methods, this [...] Read more.
Epidermal growth factor receptor (EGFR) gene mutations occur in multiple human cancers; therefore, the detection of EGFR mutations could lead to early cancer diagnosis. This study describes a novel EGFR mutation detection technique. Compared to direct DNA sequencing detection methods, this method is based on allele-specific amplification (ASA), recombinase polymerase amplification (RPA), peptide nucleic acid (PNA), and SYBR Green I (SYBR), referred to as the AS-RPA-PNA-SYBR (ARPS) system. The principle of this technique is based on three continuous steps: ASA or ASA combined with PNA to prevent non-target sequence amplification (even single nucleotide polymorphisms, SNPs), the rapid amplification advantage of RPA, and appropriate SYBR Green I detection (the samples harboring EGFR mutations show a green signal). Using this method, the EGFR 19Del(2) mutation was detected in 5 min, while the EGFR L858R mutation was detected in 10 min. In this study, the detection of EGFR mutations in clinical samples using the ARPS system was compatible with that determined by polymerase chain reaction (PCR) and DNA sequencing methods. Thus, this newly developed methodology that uses the ARPS system with appropriate primer sets is a rapid, reliable, and practical way to assess EGFR mutations in clinical samples. Full article
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<p>Comparison of the polymerase chain reaction (PCR) and DNA sequencing data with our visualization data using the ARPS method for detection of the epidermal growth factor receptor (<span class="html-italic">EGFR</span>)19Del(2) mutation in non-small cell lung cancer (NSCLC) cells. (<b>A</b>) The PCR and DNA sequencing data; (<b>B</b>) The specificity and timely sensitivity of the AS-RPA-PNA-SYBR (ARPS) method for detection of the <span class="html-italic">EGFR</span> 19Del(2) mutation. The “+” was the positive control in the recombinase polymerase amplification (RPA) reaction kit (143 bp in size), which was detected between 5 and 20 min. The mutated <span class="html-italic">EGFR</span> 19Del(2) band was 266 bp, and 300 ng of the DNA template was used. Results of ARPS were negative in red, positive in green.</p>
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<p>Comparison of the PCR and DNA sequencing data with our visualization data using the ARPS method to detect the <span class="html-italic">EGFR</span> L858R mutation in NSCLC cells. (<b>A</b>) The PCR and DNA sequencing data; (<b>B</b>) The specificity and timely sensitivity of the ARPS method for detection of the <span class="html-italic">EGFR</span> L858R mutation. The “+” was the positive control in the RPA reaction kit (143 bp in size), which was detected between 10 and 20 min. The target mutated band size was 201 bp, and 300 ng of the DNA template was used. Results of ARPS were negative in red, positive in green.</p>
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<p>Sensitivity of the ARPS technique. (<b>A</b>) ARPS reaction using 19 Del(2) mutation-specific primers with serial dilutions of genomic DNA isolated from HCC-827 cells; (<b>B</b>) ARPS reaction using L858R point mutation-specific primers with serial dilutions of genomic DNA from H-1975 cells. Results of ARPS were negative in red, positive in green.</p>
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<p>Comparison of the PCR and DNA sequencing data with our visualization data using the ARPS method to detect the <span class="html-italic">EGFR</span> mutation in NSCLC tissue specimens. (<b>A</b>) <span class="html-italic">EGFR</span> 19Del(2) mutation. The <b>left</b> panel shows our data, and the <b>right</b> panel shows the DNA sequencing data. From top to bottom, the quality control of the positive sample, the quality control of the negative sample (HCC-827 and A549 cell lines), one positive clinical tissue sample, and two negative clinical tissue samples are shown; (<b>B</b>) The <span class="html-italic">EGFR</span> L858R mutation. The <b>left</b> panel shows our data, and the <b>right</b> panel shows the DNA sequencing data. From top to bottom, the quality control of the positive sample, the quality control of the negative sample (H-1975 and A549 cell lines), three positive clinical tissue samples, and two negative clinical tissue samples are shown. Results of ARPS were negative in red, positive in green.</p>
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<p>Primer sequences and agarose gel electrophoresis data. (<b>A</b>) The position of another mismatch base in the reverse primer (green letters) to detect <span class="html-italic">EGFR</span> L858R; (mutant base in red letter) (<b>B</b>) The agarose gel electrophoresis and ARPS results of the different mismatch bases. The band size was 201 bp, and the “+” indicates the positive control from the RPA reaction kit (143 bp). The amount of DNA used was 300 ng.</p>
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776 KiB  
Review
Circulating MicroRNAs as Biomarkers in Biliary Tract Cancers
by Pablo Letelier, Ismael Riquelme, Alfonso H. Hernández, Neftalí Guzmán, Jorge G. Farías and Juan Carlos Roa
Int. J. Mol. Sci. 2016, 17(5), 791; https://doi.org/10.3390/ijms17050791 - 23 May 2016
Cited by 36 | Viewed by 8788
Abstract
Biliary tract cancers (BTCs) are a group of highly aggressive malignant tumors with a poor prognosis. The current diagnosis is based mainly on imaging and intraoperative exploration due to brush cytology havinga low sensitivity and the standard markers, such as carcinoembryonic antigen (CEA) [...] Read more.
Biliary tract cancers (BTCs) are a group of highly aggressive malignant tumors with a poor prognosis. The current diagnosis is based mainly on imaging and intraoperative exploration due to brush cytology havinga low sensitivity and the standard markers, such as carcinoembryonic antigen (CEA) and carbohydrate 19-9 (CA19-9), not having enough sensitivity nor specificity to be used in a differential diagnosis and early stage detection. Thus, better non-invasive methods that can distinguish between normal and pathological tissue are needed. MicroRNAs (miRNAs) are small, single-stranded non-coding RNA molecules of ~20–22 nucleotides that regulate relevant physiological mechanisms and can also be involved in carcinogenesis. Recent studies have demonstrated that miRNAs are detectable in multiple body fluids, showing great stability, either free or trapped in circulating microvesicles, such as exosomes. miRNAs are ideal biomarkers that may be used in screening and prognosis in biliary tract cancers, aiding also in the clinical decisions at different stages of cancer treatment. This review highlights the progress in the analysis of circulating miRNAs in serum, plasma and bile as potential diagnostic and prognostic markers of BTCs. Full article
(This article belongs to the Special Issue MicroRNA in Various Disease States as Biomarkers)
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<p>Origin mechanism of circulating microRNAs. MicroRNAs are exported from cells into circulation by free vesicles (active secretion via exosomes and microvesicles) and are associated with ribonucleoproteins, particularly with Argonaute (AGO) proteins. miRNAs have also been found in apoptotic bodies and associated with complexes with high density lipoprotein (HDL).</p>
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1439 KiB  
Article
Analysis of 2-(2-Phenylethyl)chromones by UPLC-ESI-QTOF-MS and Multivariate Statistical Methods in Wild and Cultivated Agarwood
by Yuanbin Li, Nan Sheng, Lingli Wang, Shijie Li, Jiannan Chen and Xiaoping Lai
Int. J. Mol. Sci. 2016, 17(5), 771; https://doi.org/10.3390/ijms17050771 - 23 May 2016
Cited by 31 | Viewed by 6873
Abstract
Agarwood is the fragrant resinous material mainly formed from species of Aquilaria. 2-(2-phenylethyl)chromones, especially the highly oxidized 5,6,7,8-tetrahydro-2-(2-phenylethyl)chromones, are the main representative compounds from agarwood. It is important to determine whether agarwood in trade is from cultivated trees or natural trees in [...] Read more.
Agarwood is the fragrant resinous material mainly formed from species of Aquilaria. 2-(2-phenylethyl)chromones, especially the highly oxidized 5,6,7,8-tetrahydro-2-(2-phenylethyl)chromones, are the main representative compounds from agarwood. It is important to determine whether agarwood in trade is from cultivated trees or natural trees in the Convention on the International Trade in Endangered Species (CITES). We characterized the 2-(2-phenylethyl)chromones in agarwood by ultra-performance liquid chromatography coupled with electrospray ionization mass spectrometry (UPLC–ESI-QTOF-MS) and differentiated wild from cultivated agarwood by metabolomic analysis. A total of 141 chromones including 50 potentially new compounds were evaluated as belonging to four structural classes (unoxidized 2-(2-phenylethyl)chromones, 5,6,7,8-tetrahydro-2-(2-phenylethyl)-chromones, bi-2-(2-phenylethyl)chromones, and tri-2-(2-phenylethyl)chromones). The metabolic difference between wild and cultivated agarwood was analyzed by component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). Fourteen markers of metabolisms in wild and cultivated agarwood were constructed (e.g., 6,7-dimethoxy-2-(2-phenylethyl)chromone, 6,8-dihydroxy-2-(2-phenylethyl)chromone, 6-methoxy-2-(2-phenylethyl)chromone, etc.). These results indicated that UPLC–ESI-QTOF-MS-based metabonomics analysis in agarwood may be useful for distinguishing wild agarwood from cultivated agarwood. Full article
(This article belongs to the Special Issue Metabolomics in the Plant Sciences)
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<p>Characteristic fragments of 2-(2-phenylethyl)chromones.</p>
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<p>Proposed main fragmentation pathway of 5,6,7,8-tetrahydro-2-(2-phenylethyl)chromones.</p>
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<p>The main structures of bi-2-(2-phenylethyl)chromones (A-type, B-type, and C-type).</p>
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<p>(<b>a</b>) MS/MS spectrum of compound 117; (<b>b</b>) proposed fragmentation pathway of compound 117.</p>
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<p>(<b>a</b>) MS/MS spectrum of compound 139; (<b>b</b>) proposed fragmentation pathway of compound 139.</p>
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<p>Principal component analysis (PCA) score plot of agarwood (group 1: wild agarwood; group 2 and 3: cultivated agarwood).</p>
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<p>S-plot generated by orthogonal partial least squared discriminant analysis (OPLS-DA) for the metabolites in the wild and cultivated agarwood.</p>
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3355 KiB  
Article
Variability in Immunohistochemical Detection of Programmed Death Ligand 1 (PD-L1) in Cancer Tissue Types
by Giosuè Scognamiglio, Anna De Chiara, Maurizio Di Bonito, Fabiana Tatangelo, Nunzia Simona Losito, Annamaria Anniciello, Rossella De Cecio, Crescenzo D’Alterio, Stefania Scala, Monica Cantile and Gerardo Botti
Int. J. Mol. Sci. 2016, 17(5), 790; https://doi.org/10.3390/ijms17050790 - 21 May 2016
Cited by 36 | Viewed by 7193
Abstract
In normal cell physiology, programmed death 1 (PD-1) and its ligand, PD-L1, play an immunoregulatory role in T-cell activation, tolerance, and immune-mediated tissue damage. The PD-1/PD-L1 pathway also plays a critical role in immune escape of tumor cells and has been demonstrated to [...] Read more.
In normal cell physiology, programmed death 1 (PD-1) and its ligand, PD-L1, play an immunoregulatory role in T-cell activation, tolerance, and immune-mediated tissue damage. The PD-1/PD-L1 pathway also plays a critical role in immune escape of tumor cells and has been demonstrated to correlate with a poor prognosis of patients with several types of cancer. However, recent reports have revealed that the immunohistochemical (IHC) expression of the PD-L1 in tumor cells is not uniform for the use of different antibodies clones, with variable specificity, often doubtful topographical localization, and with a score not uniquely defined. The purpose of this study was to analyze the IHC expression of PD-L1 on a large series of several human tumors to correctly define its staining in different tumor tissues. Full article
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<p>PD-L1 (programmed death ligand 1) staining: (<b>A</b>) Anti-PD-L1 (SP-142) clone in placenta sample (40×); and (<b>B</b>) Anti-PD-L1 (SP-142) clone in tumor sample (40×) with a detail of cell membrane positivity (60×).</p>
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<p>PD-L1 staining in epithelial tumors: (<b>A</b>) incomplete immunoreactivity of membrane in breast cancer sample (40×); (<b>B</b>) complete immunoreactivity of membrane in breast cancer sample (40×); (<b>C</b>) incomplete immunoreactivity of membrane in ovarian cancer sample without cytoplasmic staining (40×); (<b>D</b>) incomplete immunoreactivity of membrane in thyroid cancer sample with mild cytoplasmic staining (40×); (<b>E</b>) incomplete immunoreactivity of membrane in colon cancer sample (40×); (<b>F</b>) complete immunoreactivity of membrane in colon cancer sample (40×); (<b>G</b>) incomplete immunoreactivity of membrane with mild cytoplasmic staining in lung cancer sample (40×); (<b>H</b>) complete immunoreactivity of membrane with mild cytoplasmic staining in lung cancer sample (40×); (<b>I</b>) incomplete immunoreactivity of membrane without cytoplasmic staining in kidney cancer sample (40×); (<b>L</b>) complete immunoreactivity of membrane with cytoplasmic staining in kidney cancer sample (40×); (<b>M</b>) incomplete immunoreactivity of membrane in melanoma sample (40×); and (<b>N</b>) complete immunoreactivity of membrane in melanoma sample (40×).</p>
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<p>PD-L1 staining in epithelial tumors: (<b>A</b>) incomplete immunoreactivity of membrane in breast cancer sample (40×); (<b>B</b>) complete immunoreactivity of membrane in breast cancer sample (40×); (<b>C</b>) incomplete immunoreactivity of membrane in ovarian cancer sample without cytoplasmic staining (40×); (<b>D</b>) incomplete immunoreactivity of membrane in thyroid cancer sample with mild cytoplasmic staining (40×); (<b>E</b>) incomplete immunoreactivity of membrane in colon cancer sample (40×); (<b>F</b>) complete immunoreactivity of membrane in colon cancer sample (40×); (<b>G</b>) incomplete immunoreactivity of membrane with mild cytoplasmic staining in lung cancer sample (40×); (<b>H</b>) complete immunoreactivity of membrane with mild cytoplasmic staining in lung cancer sample (40×); (<b>I</b>) incomplete immunoreactivity of membrane without cytoplasmic staining in kidney cancer sample (40×); (<b>L</b>) complete immunoreactivity of membrane with cytoplasmic staining in kidney cancer sample (40×); (<b>M</b>) incomplete immunoreactivity of membrane in melanoma sample (40×); and (<b>N</b>) complete immunoreactivity of membrane in melanoma sample (40×).</p>
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<p>PD-L1 staining in soft tissue tumors: (<b>A</b>) incomplete immunoreactivity of membrane (40×); and (<b>B</b>) complete immunoreactivity of membrane (40×).</p>
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<p>PD-L1 staining in non-Hodgkin lymphoma: (<b>A</b>) incomplete immunoreactivity of membrane (40×); and (<b>B</b>) complete immunoreactivity of membrane (40×).</p>
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198 KiB  
Review
Functions of miRNAs during Mammalian Heart Development
by Shun Yan and Kai Jiao
Int. J. Mol. Sci. 2016, 17(5), 789; https://doi.org/10.3390/ijms17050789 - 21 May 2016
Cited by 38 | Viewed by 5842
Abstract
MicroRNAs (miRNAs) play essential roles during mammalian heart development and have emerged as attractive therapeutic targets for cardiovascular diseases. The mammalian embryonic heart is mainly derived from four major cell types during development. These include cardiomyocytes, endocardial cells, epicardial cells, and neural crest [...] Read more.
MicroRNAs (miRNAs) play essential roles during mammalian heart development and have emerged as attractive therapeutic targets for cardiovascular diseases. The mammalian embryonic heart is mainly derived from four major cell types during development. These include cardiomyocytes, endocardial cells, epicardial cells, and neural crest cells. Recent data have identified various miRNAs as critical regulators of the proper differentiation, proliferation, and survival of these cell types. In this review, we briefly introduce the contemporary understanding of mammalian cardiac development. We also focus on recent developments in the field of cardiac miRNAs and their functions during the development of different cell types. Full article
(This article belongs to the Special Issue MicroRNA Regulation)
1358 KiB  
Article
Extraction Optimization, Preliminary Characterization and Bioactivities in Vitro of Ligularia hodgsonii Polysaccharides
by Xueping Song and Jun Tang
Int. J. Mol. Sci. 2016, 17(5), 788; https://doi.org/10.3390/ijms17050788 - 21 May 2016
Cited by 21 | Viewed by 5408
Abstract
The optimization extraction, preliminary characterization and bioactivities of Ligularia hodgsonii polysaccharides were investigated. Based on single-factor experiments and orthogonal array test, the optimum extraction conditions were obtained as follows: extraction time 3 h, temperature 85 °C, water/raw material ratio 36. Further Sevag deproteinization [...] Read more.
The optimization extraction, preliminary characterization and bioactivities of Ligularia hodgsonii polysaccharides were investigated. Based on single-factor experiments and orthogonal array test, the optimum extraction conditions were obtained as follows: extraction time 3 h, temperature 85 °C, water/raw material ratio 36. Further Sevag deproteinization and dialysis yielded the dialyzed Ligularia hodgsonii polysaccharides (DLHP, 19.2 ± 1.4 mg/g crude herb). Compositional analysis, size-exclusion chromatography connected with multi-angle laser light-scattering and refractive index (SEC-MALLS-RI), Fourier transform infrared (FT-IR) and 1H nuclear magnetic resonance (NMR) spectroscopy were employed for characterization of the polysaccharides. DLHP was found to have a major component with a weight-average molecular weight of 1.17 × 105 Da, mainly comprising of glucose, galactose, arabinose, mannose, rhamnose, glucuronic acid and galacturonic acid. By in vitro antioxidant activity assays, DLHP presented remarkable scavenging capacities towards 1,1-diphenyl-2-picrylhydrazyl (DPPH), 2,2′-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) and hydroxyl radicals, and ferrous ions chelating ability. Moreover, it exhibited appreciable anti-hyperglycemic activity as demonstrated by differential inhibition of α-glucosidase and α-amylase. The results indicated that DLHP could potentially be a resource for antioxidant and hypoglycemic agents. Full article
(This article belongs to the Section Bioactives and Nutraceuticals)
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<p>Effects of extraction temperature (<b>A</b>); extraction time (<b>B</b>); water volume to raw material weight (W/M ratio) (<b>C</b>); and extraction frequency (<b>D</b>) on the polysaccharide yield.</p>
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<p>(<b>A</b>) Size-exclusion chromatography (SEC) chromatograms of dialyzed <span class="html-italic">Ligularia hodgsonii</span> polysaccharides (DLHP) detected by SEC-MALLS-RI at 25 °C. A1 (red line) and A2 (blue line) represent the signals from light scattering (LS) at 90° and differential refractive index (dRI), respectively; and (<b>B</b>) HPLC profiles of 1-phenyl-3-methyl-5-pyrazolone (PMP) derivatives of seven monosaccharide standards (B1) and DLHP (B2): 1, Mannose; 2, Galacturonic acid; 3, Rhamnose; 4, Glucuronic acid; 5, Glucose; 6, Galactose; and 7, Arabinose.</p>
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<p>Fourier Transform Infrared (FT-IR) spectrum of DLHP.</p>
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<p><sup>1</sup>H-NMR spectrum of DLHP.</p>
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<p>Scavenging effects on 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical (<b>A</b>); 2,2′-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical (<b>B</b>); and hydroxyl radical (<b>C</b>); metal chelating activity (<b>D</b>); and reductive potential (<b>E</b>) of DLHP, LHP and water extract.</p>
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<p>The inhibitory activities of DLHP, LHP and water extract on: α-glucosidase (<b>A</b>); and α-amylase (<b>B</b>).</p>
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Article
Functional and Biochemical Characterization of Three Recombinant Human Glucose-6-Phosphate Dehydrogenase Mutants: Zacatecas, Vanua-Lava and Viangchan
by Saúl Gómez-Manzo, Jaime Marcial-Quino, America Vanoye-Carlo, Hugo Serrano-Posada, Abigail González-Valdez, Víctor Martínez-Rosas, Beatriz Hernández-Ochoa, Edgar Sierra-Palacios, Rosa Angélica Castillo-Rodríguez, Miguel Cuevas-Cruz, Eduardo Rodríguez-Bustamante and Roberto Arreguin-Espinosa
Int. J. Mol. Sci. 2016, 17(5), 787; https://doi.org/10.3390/ijms17050787 - 21 May 2016
Cited by 23 | Viewed by 7693
Abstract
Glucose-6-phosphate dehydrogenase (G6PD) deficiency in humans causes severe disease, varying from mostly asymptomatic individuals to patients showing neonatal jaundice, acute hemolysis episodes or chronic nonspherocytic hemolytic anemia. In order to understand the effect of the mutations in G6PD gene function and its relation [...] Read more.
Glucose-6-phosphate dehydrogenase (G6PD) deficiency in humans causes severe disease, varying from mostly asymptomatic individuals to patients showing neonatal jaundice, acute hemolysis episodes or chronic nonspherocytic hemolytic anemia. In order to understand the effect of the mutations in G6PD gene function and its relation with G6PD deficiency severity, we report the construction, cloning and expression as well as the detailed kinetic and stability characterization of three purified clinical variants of G6PD that present in the Mexican population: G6PD Zacatecas (Class I), Vanua-Lava (Class II) and Viangchan (Class II). For all the G6PD mutants, we obtained low purification yield and altered kinetic parameters compared with Wild Type (WT). Our results show that the mutations, regardless of the distance from the active site where they are located, affect the catalytic properties and structural parameters and that these changes could be associated with the clinical presentation of the deficiency. Specifically, the structural characterization of the G6PD Zacatecas mutant suggests that the R257L mutation have a strong effect on the global stability of G6PD favoring an unstable active site. Using computational analysis, we offer a molecular explanation of the effects of these mutations on the active site. Full article
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<p>Crystallographic structure of the human glucose-6-phosphate dehydrogenase (G6PD) enzyme: (<b>A</b>) The human Wild Type (WT) structure of G6PD dimer (PDB entries 2BHL and 2BH9) showing the NADP<sup>+</sup> binding (ice blue molecular surface) at the structural and coenzyme sites and the G6P site (yellow molecular surface). The two monomers are shown in pale crimson and dark purple; (<b>B</b>) Zacatecas, Viangchan and Vanua-Lava mutants are shown as blue spheres in the human G6PD structure. The graphical representations were also constructed with CCP4mg version 2.10.4 [<a href="#B18-ijms-17-00787" class="html-bibr">18</a>].</p>
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<p>Heterologous expression of glucose-6-Phosphate Dehydrogenases (G6PDs) in <span class="html-italic">Escherichia coli</span> BL21(DE3)Δ<span class="html-italic">zwf</span>::<span class="html-italic">kan<sup>r</sup></span>: (<b>A</b>) expression of human WT G6PD; (<b>B</b>) G6PD Zacatecas; and two Class II mutants; (<b>C</b>) G6PD Vanua-Lava and (<b>D</b>) G6PD Viangchan. Sonicated cell were centrifuged, and the resulting supernatants were used to measure the specific activity in each case. The G6PD specific activity was used as indicative of the expression levels of soluble recombinant protein. The standard deviations represent the value of triplicates samples.</p>
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<p>Thermostability assays of recombinant Wild Type glucose-6-phosphate dehydrogenase (WT G6PD) and the three mutants with different NADP<sup>+</sup> concentrations: (<b>A</b>) WT G6PD; (<b>B</b>) G6PD Zacatecas (R257L); (<b>C</b>) G6PD Vanua-Lava (L128P); and (<b>D</b>) G6PD Viangchan (V291M). In all cases, 200 ng of total protein was used. Residual activity was expressed as a percentage of the activity for the same sample incubated at 37 °C. The assays were performed in duplicate; standard errors were lower than 5%. NADP<sup>+</sup> concentrations: without NADP<sup>+</sup> (○), 10 µM (•), 100 µM (∆) and 500 µM (▼) NADP<sup>+</sup>, respectively.</p>
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<p>The mutations decrease the thermal stability of WT G6PD enzyme. The determination of melting temperature (<span class="html-italic">T</span><sub>m</sub>) was monitored by recording the change in the CD signal at 222 nm when the temperature was increased progressively from 20 to 90 °C at 1°/2.5 min. In all cases, both the WT G6PD and the mutants were recorded at 0.8 mg/mL in 25 mM phosphate buffer pH 7.35. Experiments were performed in duplicate; standard errors were less than 5%.</p>
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<p>Stability of glucose-6-phosphate dehydrogenases (G6PDs) incubated with different concentrations of Gdn-HCl and inactivation assays. (<b>A</b>) Effects of Gdn-HCl on the activity of WT G6PD and the G6PD Zacatecas, Vanua-Lava and Viangchan mutants. All the enzymes were incubated at 0.2 mg/mL in 50 mM phosphate buffer pH 7.35 in the presence of the indicated concentrations of Gdn-HCl for 2 h at 37 °C; (<b>B</b>) Inactivation of WT G6PD and the mutants by 0.25 M at 37 °C. At the indicated times, aliquots were withdrawn from the samples and assayed for residual activity. In both assays, residual activity was expressed as a percentage of the activity for the same sample measured at 25 °C without Gdn-HCl and all enzymes were prepared and diluted immediately before used. Both assays were performed in duplicate; standard errors were less than 5%.</p>
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<p>Gel filtration chromatography to evaluate the protein stability of glucose-6-phosphate dehydrogenases (G6PDs). The stability of native G6PDs dimers without (<b>A</b>) or with (<b>B</b>) Gdn-HCl were tested by FPLC, incubating the enzymes (0.2 mg/mL) at 37 °C for 2 h and then loading them onto a size-exclusion chromatography column. Thirty microliters samples of G6PDs protein solutions were loaded on Shodex Protein<sup>®</sup> KW-802.5 column coupled to ÄKTA Primes FPLC system (Amersham Pharmacia Biotech, Piscataway, NJ, USA) previously equilibrated with 50 mM phosphate buffer at pH 7.35; flow rate: 1.0 mL/min.</p>
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<p>Spectroscopic characterization of recombinant human G6PD enzymes. Far-UV CD spectra of WT G6PD and mutants without (<b>A</b>) or with (<b>B</b>) 0.25 M Gdn-HCl were performed in spectropolarimeter (Jasco J-810<sup>®</sup>) equipped with a Peltier thermostatted cell holder; standard errors were less than 4%. In all cases, the protein concentration was 0.2 mg/mL and incubated by 2 h at 37 °C and after than measured by CD. For both trials, the spectra of blanks were subtracted from those that contained the protein.</p>
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<p>Conformational changes in the tertiary structure of recombinant human WT G6PD enzymes and mutants. (<b>A</b>) Fluorescence emission spectra were performed in a Perkin-Elmer LS-55 fluorescence spectrometer. The assays were conducted with a protein concentration of 0.1 mg/mL; (<b>B</b>) ANS fluorescence spectra were obtained using an excitation wavelength of 395 nm and recording emission spectra from 400 to 600 nm. Values obtained from buffer containing ANS without protein (open stars) were subtracted from the recordings with protein. The experimental conditions for all the experiments are described in the Materials and Methods Section.</p>
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<p>Structural comparison between the human WT G6PD enzyme and the Class I G6PD Zacatecas mutant. (<b>A</b>) Crystallographic structure of human WT-G6PD enzyme (pale crimson) (PDB entry 2BH9); (<b>B</b>) Minimized model of the Class I G6PD Zacatecas variant (pale crimson) with the <span class="html-italic">in silico</span> R257L mutation. Note that the R257 (black cylinders) residue forms a weak cation–π interaction with W462 and a salt bridge with E473 in (<b>A</b>), and their absence in the <span class="html-italic">in silico</span> R257L mutant in (<b>B</b>). Distances are in Å; (<b>C</b>) Alignment of amino acid sequence of G6PD with homologs from different species from <span class="html-italic">Gorilla gorilla gorilla</span> (G3RMM2), <span class="html-italic">Homo sapiens</span> (P11413-3), <span class="html-italic">Chlorocebus sabaeus</span> (A0A0D9R328), <span class="html-italic">Papio anubis</span> (A9CB69), <span class="html-italic">Macaca mulatta</span> (H9ESV7), <span class="html-italic">Macaca fascicularis</span> (G7Q228), <span class="html-italic">Equus caballus</span> (F7DMG5), <span class="html-italic">Camelus dromedarius</span> (G1EHI3), <span class="html-italic">Rhinolophus ferrumequinum</span> (B2KIK5), <span class="html-italic">Mustela putorius furo</span> (M3YE89), <span class="html-italic">Bos taurus</span> (F1MMK2), <span class="html-italic">Rattus norvegicus</span> (P05370), <span class="html-italic">Canis lupus familiaris</span> (E2R0I9), <span class="html-italic">Cavia porcellus</span> (H0W6W1), <span class="html-italic">Macropus robustus</span> (Q29492), Sarcophilus <span class="html-italic">harrisii</span> (G3VHF4), <span class="html-italic">Myotis brandtii</span> (<span class="html-italic">S7N6K2</span>), <span class="html-italic">Ornithorhynchus anatinus</span> (F7DZC3), <span class="html-italic">Sorex araneus</span> (B3RFE2), <span class="html-italic">Mus caroli</span> (A0FF42), <span class="html-italic">Canis lupus familiaris</span> (J9P9E9), <span class="html-italic">Crotalus adamanteus</span> (A0A0F7Z7U2), <span class="html-italic">Pelodiscus sinensis</span> (K7FZ73), <span class="html-italic">Bos indicus</span> (Q7YS37), <span class="html-italic">Xiphophorus maculatus</span> (M4AS60), <span class="html-italic">Lepisosteus oculatus</span> (W5NAB4), <span class="html-italic">Oreochromis niloticus</span> (I3KK42), <span class="html-italic">Ambystoma mexicanum</span> (Q76BG5), <span class="html-italic">Danio rerio</span> (E7FDY7), <span class="html-italic">Gasterosteus aculeatus</span> (G3NFB2), <span class="html-italic">Cephaloscyllium umbratile</span> (Q76BC2), <span class="html-italic">Callorhinchus mili</span> (V9KLG6), <span class="html-italic">Lepisosteus osseus</span> (Q76BF1), <span class="html-italic">Rhabdosargus sarba</span> (Q4G339), <span class="html-italic">Takifugu rubripes</span> (H2UQV8), <span class="html-italic">Scleropages formosus</span> (A0A0P7V266), <span class="html-italic">Xenopus tropicalis</span> (F6XH10), <span class="html-italic">Stegodyphus mimosarum</span> (A0A087TRQ6), <span class="html-italic">Capitella teleta</span> (R7TN68), <span class="html-italic">Ciona intestinalis</span> (F7AX62), <span class="html-italic">Branchiostoma floridae</span> (C3YV81), <span class="html-italic">Tribolium castaneum</span> (D6WKK9), <span class="html-italic">Rhipicephalus microplus</span> (Q45R45), <span class="html-italic">Lottia gigantea</span> (V4AWI8), <span class="html-italic">Triatoma infestans</span> (A0A023F8E9), <span class="html-italic">Anopheles gambiae</span> (H2KMF3), <span class="html-italic">Apis mellifera</span> (A0A023FG14), <span class="html-italic">Musca domestica</span> (T1PD22), <span class="html-italic">Aedes aegypti</span> (Q0IEL8) performed with BioEdit V.7.2.5. The uniform colors indicate conserved amino acid in the sequences reported. Colorless represent non-conserved amino acid sequences. The arrows indicate the position R257 and E473 residues are highly conserved in different organisms.</p>
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<p>Structural comparison between the human WT G6PD enzyme and the Class I G6PD Zacatecas mutant. (<b>A</b>) Crystallographic structure of human WT-G6PD enzyme (pale crimson) (PDB entry 2BH9); (<b>B</b>) Minimized model of the Class I G6PD Zacatecas variant (pale crimson) with the <span class="html-italic">in silico</span> R257L mutation. Note that the R257 (black cylinders) residue forms a weak cation–π interaction with W462 and a salt bridge with E473 in (<b>A</b>), and their absence in the <span class="html-italic">in silico</span> R257L mutant in (<b>B</b>). Distances are in Å; (<b>C</b>) Alignment of amino acid sequence of G6PD with homologs from different species from <span class="html-italic">Gorilla gorilla gorilla</span> (G3RMM2), <span class="html-italic">Homo sapiens</span> (P11413-3), <span class="html-italic">Chlorocebus sabaeus</span> (A0A0D9R328), <span class="html-italic">Papio anubis</span> (A9CB69), <span class="html-italic">Macaca mulatta</span> (H9ESV7), <span class="html-italic">Macaca fascicularis</span> (G7Q228), <span class="html-italic">Equus caballus</span> (F7DMG5), <span class="html-italic">Camelus dromedarius</span> (G1EHI3), <span class="html-italic">Rhinolophus ferrumequinum</span> (B2KIK5), <span class="html-italic">Mustela putorius furo</span> (M3YE89), <span class="html-italic">Bos taurus</span> (F1MMK2), <span class="html-italic">Rattus norvegicus</span> (P05370), <span class="html-italic">Canis lupus familiaris</span> (E2R0I9), <span class="html-italic">Cavia porcellus</span> (H0W6W1), <span class="html-italic">Macropus robustus</span> (Q29492), Sarcophilus <span class="html-italic">harrisii</span> (G3VHF4), <span class="html-italic">Myotis brandtii</span> (<span class="html-italic">S7N6K2</span>), <span class="html-italic">Ornithorhynchus anatinus</span> (F7DZC3), <span class="html-italic">Sorex araneus</span> (B3RFE2), <span class="html-italic">Mus caroli</span> (A0FF42), <span class="html-italic">Canis lupus familiaris</span> (J9P9E9), <span class="html-italic">Crotalus adamanteus</span> (A0A0F7Z7U2), <span class="html-italic">Pelodiscus sinensis</span> (K7FZ73), <span class="html-italic">Bos indicus</span> (Q7YS37), <span class="html-italic">Xiphophorus maculatus</span> (M4AS60), <span class="html-italic">Lepisosteus oculatus</span> (W5NAB4), <span class="html-italic">Oreochromis niloticus</span> (I3KK42), <span class="html-italic">Ambystoma mexicanum</span> (Q76BG5), <span class="html-italic">Danio rerio</span> (E7FDY7), <span class="html-italic">Gasterosteus aculeatus</span> (G3NFB2), <span class="html-italic">Cephaloscyllium umbratile</span> (Q76BC2), <span class="html-italic">Callorhinchus mili</span> (V9KLG6), <span class="html-italic">Lepisosteus osseus</span> (Q76BF1), <span class="html-italic">Rhabdosargus sarba</span> (Q4G339), <span class="html-italic">Takifugu rubripes</span> (H2UQV8), <span class="html-italic">Scleropages formosus</span> (A0A0P7V266), <span class="html-italic">Xenopus tropicalis</span> (F6XH10), <span class="html-italic">Stegodyphus mimosarum</span> (A0A087TRQ6), <span class="html-italic">Capitella teleta</span> (R7TN68), <span class="html-italic">Ciona intestinalis</span> (F7AX62), <span class="html-italic">Branchiostoma floridae</span> (C3YV81), <span class="html-italic">Tribolium castaneum</span> (D6WKK9), <span class="html-italic">Rhipicephalus microplus</span> (Q45R45), <span class="html-italic">Lottia gigantea</span> (V4AWI8), <span class="html-italic">Triatoma infestans</span> (A0A023F8E9), <span class="html-italic">Anopheles gambiae</span> (H2KMF3), <span class="html-italic">Apis mellifera</span> (A0A023FG14), <span class="html-italic">Musca domestica</span> (T1PD22), <span class="html-italic">Aedes aegypti</span> (Q0IEL8) performed with BioEdit V.7.2.5. The uniform colors indicate conserved amino acid in the sequences reported. Colorless represent non-conserved amino acid sequences. The arrows indicate the position R257 and E473 residues are highly conserved in different organisms.</p>
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Review
Marine Antimicrobial Peptides: Nature Provides Templates for the Design of Novel Compounds against Pathogenic Bacteria
by Annarita Falanga, Lucia Lombardi, Gianluigi Franci, Mariateresa Vitiello, Maria Rosaria Iovene, Giancarlo Morelli, Massimiliano Galdiero and Stefania Galdiero
Int. J. Mol. Sci. 2016, 17(5), 785; https://doi.org/10.3390/ijms17050785 - 21 May 2016
Cited by 103 | Viewed by 10513
Abstract
The discovery of antibiotics for the treatment of bacterial infections brought the idea that bacteria would no longer endanger human health. However, bacterial diseases still represent a worldwide treat. The ability of microorganisms to develop resistance, together with the indiscriminate use of antibiotics, [...] Read more.
The discovery of antibiotics for the treatment of bacterial infections brought the idea that bacteria would no longer endanger human health. However, bacterial diseases still represent a worldwide treat. The ability of microorganisms to develop resistance, together with the indiscriminate use of antibiotics, is mainly responsible for this situation; thus, resistance has compelled the scientific community to search for novel therapeutics. In this scenario, antimicrobial peptides (AMPs) provide a promising strategy against a wide array of pathogenic microorganisms, being able to act directly as antimicrobial agents but also being important regulators of the innate immune system. This review is an attempt to explore marine AMPs as a rich source of molecules with antimicrobial activity. In fact, the sea is poorly explored in terms of AMPs, but it represents a resource with plentiful antibacterial agents performing their role in a harsh environment. For the application of AMPs in the medical field limitations correlated to their peptide nature, their inactivation by environmental pH, presence of salts, proteases, or other components have to be solved. Thus, these peptides may act as templates for the design of more potent and less toxic compounds. Full article
(This article belongs to the Special Issue Drug Delivery and Antimicrobial Agents)
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<p>Mechanisms inducing the damage of the membrane and/or internalization (<b>panel A</b>); The main proposed mode of action are: carpet model (1); barrel stave model (2) and toroidal-pore model (3). Alternative mechanisms of antibacterial activity involving intracellular targets (<b>panel B</b>). Some AMPs act on intracellular targets inhibiting cell-wall synthesis, nucleic acid binding and synthesis, protein production, and enzyme activity.</p>
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Article
Novel Zinc(II) Complexes [Zn(atc-Et)2] and [Zn(atc-Ph)2]: In Vitro and in Vivo Antiproliferative Studies
by Erica De O. Lopes, Carolina G. de Oliveira, Patricia B. da Silva, Carlos E. Eismann, Carlos A. Suárez, Amauri A. Menegário, Clarice Q. F. Leite, Victor M. Deflon and Fernando R. Pavan
Int. J. Mol. Sci. 2016, 17(5), 781; https://doi.org/10.3390/ijms17050781 - 21 May 2016
Cited by 22 | Viewed by 6143
Abstract
Cisplatin and its derivatives are the main metallodrugs used in cancer therapy. However, low selectivity, toxicity and drug resistance are associated with their use. The zinc(II) (ZnII) thiosemicarbazone complexes [Zn(atc-Et)2] (1) and [Zn(atc-Ph)2] (2 [...] Read more.
Cisplatin and its derivatives are the main metallodrugs used in cancer therapy. However, low selectivity, toxicity and drug resistance are associated with their use. The zinc(II) (ZnII) thiosemicarbazone complexes [Zn(atc-Et)2] (1) and [Zn(atc-Ph)2] (2) (atc-R: monovalent anion of 2-acetylpyridine N4-R-thiosemicarbazone) were synthesized and fully characterized in the solid state and in solution via elemental analysis, Fourier transform infrared (FTIR), ultraviolet-visible (UV-Vis) and proton nuclear magnetic resonance (1H NMR) spectroscopy, conductometry and single-crystal X-ray diffraction. The cytotoxicity of these complexes was evaluated in the HepG2, HeLa, MDA-MB-231, K-562, DU 145 and MRC-5 cancer cell lines. The strongest antiproliferative results were observed in MDA-MB-231 and HepG2 cells, in which these complexes displayed significant selective toxicity (3.1 and 3.6, respectively) compared with their effects on normal MRC-5 cells. In vivo studies were performed using an alternative model (Artemia salina L.) to assure the safety of these complexes, and the results were confirmed using a conventional model (BALB/c mice). Finally, tests of oral bioavailability showed maximum plasma concentrations of 3029.50 µg/L and 1191.95 µg/L for complexes 1 and 2, respectively. According to all obtained results, both compounds could be considered as prospective antiproliferative agents that warrant further research. Full article
(This article belongs to the Special Issue Recent Advances in Metal Based Drugs)
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<p>Molecular structure determined for [Zn(atc-Et)<sub>2</sub>] (<b>1</b>) (<b>left</b>) and [Zn(atc-Ph)<sub>2</sub>] (<b>2</b>) (<b>right</b>) with atom labels.</p>
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<p>Percentage survival of BALB/c mice over 14 days of drug treatment at the concentration of 500 mg/kg body weight.</p>
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<p>Percent survival of BALB/c mice over 14 days of drug treatment at the concentration of 1000 mg/kg body weight.</p>
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<p>Relative weight (mean ratio of organ weight to body weight of BALB/c mice) and standard deviation (SD). R: right ; L: left.</p>
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<p>Quantification of the serum aspartate aminotransferase (AST) and alanine aminotransferase (ALT) activity levels in BALB/c mice. U/L: units per liter.</p>
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<p>Time-concentration profiles of Zn<sup>II</sup> complexes in plasma after a single administration via oral gavage at a dose of 300 mg/Kg body weight.</p>
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<p>Time-concentration profile of cisplatin in plasma after a single administration via oral gavage at a dose of 300 mg/Kg body weight.</p>
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<p>Synthesis of the complexes.</p>
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Article
An Eco-Friendly Ultrasound-Assisted Synthesis of Novel Fluorinated Pyridinium Salts-Based Hydrazones and Antimicrobial and Antitumor Screening
by Nadjet Rezki, Salsabeel A. Al-Sodies, Mohamed R. Aouad, Sanaa Bardaweel, Mouslim Messali and El Sayed H. El Ashry
Int. J. Mol. Sci. 2016, 17(5), 766; https://doi.org/10.3390/ijms17050766 - 21 May 2016
Cited by 28 | Viewed by 5834
Abstract
The present work reports an efficient synthesis of fluorinated pyridinium salts-based hydrazones under both conventional and eco-friendly ultrasound procedures. The synthetic approach first involves the preparation of halogenated pyridinium salts through the condensation of isonicotinic acid hydrazide (1) with p-fluorobenzaldehyde [...] Read more.
The present work reports an efficient synthesis of fluorinated pyridinium salts-based hydrazones under both conventional and eco-friendly ultrasound procedures. The synthetic approach first involves the preparation of halogenated pyridinium salts through the condensation of isonicotinic acid hydrazide (1) with p-fluorobenzaldehyde (2) followed by the nucleophilic alkylation of the resulting N-(4-fluorobenzylidene)isonicotinohydrazide (3) with a different alkyl iodide. The iodide counteranion of 510 was subjected to an anion exchange metathesis reaction in the presence of an excess of the appropriate metal salts to afford a new series of fluorinated pyridinium salts tethering a hydrazone linkage 1140. Ultrasound irradiation led to higher yields in considerably less time than the conventional methods. The newly synthesized ILs were well-characterized with FT-IR, 1H NMR, 13C NMR, 11B, 19F, 31P and mass spectral analyses. The ILs were also screened for their antimicrobial and antitumor activities. Within the series, the salts tethering fluorinated counter anions 1113, 2123, 3133 and 3638 were found to be more potent against all bacterial and fungal strains at MIC 4–8 µg/mL. The in vitro antiproliferative activity was also investigated against four tumor cell lines (human ductal breast epithelial tumor T47D, human breast adenocarcinoma MCF-7, human epithelial carcinoma HeLa and human epithelial colorectal adenocarcinoma Caco-2) using the MTT assay, which revealed that promising antitumor activity was exhibited by compounds 5, 12 and 14. Full article
(This article belongs to the Special Issue Ionic Liquids 2016 and Selected Papers from ILMAT III)
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<p><sup>1</sup>H NMR spectrum of compound <b>9</b> in DMSO-<span class="html-italic">d</span><sub>6</sub>.</p>
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<p><sup>1</sup>H NMR spectrum of compound <b>9</b> in CDCl<sub>3</sub>.</p>
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<p><sup>19</sup>F NMR spectrum of compound <b>9</b> in DMSO-<span class="html-italic">d</span><sub>6</sub>.</p>
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<p>Synthesis of halogenated pyridinium salts tagged with hydrazone <b>5</b>–<b>10</b> under conventional method (CM) and ultrasound irradiation (US).</p>
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<p>Synthesis of specific-based hydrazones <b>11</b>–<b>40</b>.</p>
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Article
Expression Patterns and Functional Novelty of Ribonuclease 1 in Herbivorous Megalobrama amblycephala
by Han Liu and Weimin Wang
Int. J. Mol. Sci. 2016, 17(5), 786; https://doi.org/10.3390/ijms17050786 - 20 May 2016
Cited by 5 | Viewed by 5106
Abstract
Ribonuclease 1 (RNase1) is an important digestive enzyme that has been used to study the molecular evolutionary and plant-feeding adaptation of mammals. However, the expression patterns and potential biological function of RNase1 in herbivorous fish is not known. Here, we identified RNase1 from [...] Read more.
Ribonuclease 1 (RNase1) is an important digestive enzyme that has been used to study the molecular evolutionary and plant-feeding adaptation of mammals. However, the expression patterns and potential biological function of RNase1 in herbivorous fish is not known. Here, we identified RNase1 from five fish species and illuminated the functional diversification and expression of RNase1 in herbivorous Megalobrama amblycephala. The five identified fish RNase1 genes all have the signature motifs of the RNase A superfamily. No expression of Ma-RNase1 was detected in early developmental stages but a weak expression was detected at 120 and 144 hours post-fertilization (hpf). Ma-RNase1 was only expressed in the liver and heart of one-year-old fish but strongly expressed in the liver, spleen, gut, kidney and testis of two-year-old fish. Moreover, the immunostaining localized RNase1 production to multiple tissues of two-year-old fish. A biological functional analysis of the recombinant protein demonstrated that M. amblycephala RNase1 had a relatively strong ribonuclease activity at its optimal pH 6.1, which is consistent with the pH of its intestinal microenvironment. Collectively, these results clearly show that Ma-RNase1 protein has ribonuclease activity and the expression patterns of Ma-RNase1 are dramatically different in one year and two-year-old fish, suggesting the functional differentiation during fish growing. Full article
(This article belongs to the Special Issue Fish Molecular Biology)
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<p>Multiple protein sequences alignment of RNase1 in fishes and mammals. Dashes indicate alignment gaps. Yellow underlines showed the signal peptides. The putative isoelectric point (pI) and molecular weight (<span class="html-italic">M</span>w) indicated the isoelectric point and molecular weight (kDa) of the mature peptide, respectively. The conversed CKXXNTF motif is shown in a box. The eight structural cysteines (active-site residues) are marked with triangles and the two red triangles indicated alteration in fishes. Asterisks show the three catalytic resides.</p>
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<p>Ribbon representations of 3D structures of four fish RNase1 and two mammals RNase A. The blue, light blue and green ribbons represent the three α-helices and ribbons with others colors represent the six β-strands.</p>
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<p>Phylogenetic tree documenting relationships among various vertebrates RNase1. Neighbor-joining tree constructed with protein sequences by MEGA 5.1. Numbers at branches indicate the bootstrap probabilities with 1000 replicates.</p>
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<p>The expression patterns of <span class="html-italic">RNase1</span> genes in different developmental stages and tissues of <span class="html-italic">M. amblycephala</span>. <span class="html-italic">B-actin</span> was used as reference gene. (<b>A</b>) Two-year-old fish (the muscle tissue was the same as in the control); (<b>B</b>) One-year-old fish (the muscle tissue was the same as in the control); (<b>C</b>) early different developmental stages of <span class="html-italic">M. amblycephala</span> (0 hpf egg was the same as in the control). cDNAs were used for PCR from total RNA samples obtained from the heart (H), liver (L), spleen (S), kidney (K), brain (B), muscle (M), gut (G) and testis (T) of one year and two-year-old fish, 0 (fertilized egg), 12 (late gastrula stage), 27 (heart appearance), 40 (hatching), 72 (gill circulation), 120 (air bladder formation), 144 (intestine appearance) hours post-fertilization (hpf) embryos/larvae. Differences were determined by one-way analysis of variance (ANOVA). Statistically significant differences from the control group are marked as ** <span class="html-italic">p</span> &lt;0.01.</p>
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<p>Expression of <span class="html-italic">Ma</span>-RNase1 in different tissues of <span class="html-italic">M. amblycephala</span>. Immunohistochemistry demonstrates <span class="html-italic">Ma</span>-RNase1 production (positive cells labeled in brown showing as white arrows) in the liver (<b>A</b>), spleen (<b>B</b>) and gut (<b>C</b>,<b>D</b>) tissues of two-year-old <span class="html-italic">M. amblycephala</span>. The negative cell nucleus labeled in blue and positive nucleus labeled in brown.</p>
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<p>Immunofluorescence analysis demonstrates RNase1 production in the liver, gut and spleen tissues of two-year-old <span class="html-italic">M. amblycephala</span>. Immunofluorescence staining identifying cells with RNase1 expression in red and nuclei in blue.</p>
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<p>Ribonucleolytic activities of <span class="html-italic">M. amblycephala</span> recombinant protein RNase1. Comparison the ribonucleolytic activities of <span class="html-italic">Ma-</span>RNase1 and bovine RNase A at different amounts (<b>A</b>); RNase activity against yeast tRNA at different pH levels (<b>B</b>).</p>
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Article
Impact of Faba Bean-Seed Rhizobial Inoculation on Microbial Activity in the Rhizosphere Soil during Growing Season
by Anna Siczek and Jerzy Lipiec
Int. J. Mol. Sci. 2016, 17(5), 784; https://doi.org/10.3390/ijms17050784 - 20 May 2016
Cited by 28 | Viewed by 6637
Abstract
Inoculation of legume seeds with Rhizobium affects soil microbial community and processes, especially in the rhizosphere. This study aimed at assessing the effect of Rhizobium inoculation on microbial activity in the faba bean rhizosphere during the growing season in a field experiment on [...] Read more.
Inoculation of legume seeds with Rhizobium affects soil microbial community and processes, especially in the rhizosphere. This study aimed at assessing the effect of Rhizobium inoculation on microbial activity in the faba bean rhizosphere during the growing season in a field experiment on a Haplic Luvisol derived from loess. Faba bean (Vicia faba L.) seeds were non-inoculated (NI) or inoculated (I) with Rhizobium leguminosarum bv. viciae and sown. The rhizosphere soil was analyzed for the enzymatic activities of dehydrogenases, urease, protease and acid phosphomonoesterase, and functional diversity (catabolic potential) using the Average Well Color Development, Shannon-Weaver, and Richness indices following the community level physiological profiling from Biolog EcoPlate™. The analyses were done on three occasions corresponding to the growth stages of: 5–6 leaf, flowering, and pod formation. The enzymatic activities were higher in I than NI (p < 0.05) throughout the growing season. However, none of the functional diversity indices differed significantly under both treatments, regardless of the growth stage. This work showed that the functional diversity of the microbial communities was a less sensitive tool than enzyme activities in assessment of rhizobial inoculation effects on rhizosphere microbial activity. Full article
(This article belongs to the Special Issue Molecular Signals in Nodulation Control)
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<p>Enzymatic activity. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05). NI, non-inoculated; I, inoculated with <span class="html-italic">Rhizobium</span>; T1, 5–6 leaf stage; T2, flowering; T3, pod formation stage.</p>
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<p>Dendrogram of the bond distances between the carbon utilizations patterns of the substrates on the Biolog EcoPlates<sup>TM</sup>. Grouping was conducted according to the Sneath’s criterion (66%); NI, non-inoculated; I, inoculated with <span class="html-italic">Rhizobium</span>; T1, 5–6 leaf stage; T2, flowering; T3, pod formation stage; <span class="html-italic">n</span> = 3. Red frames indicate group treatments with similar carbon utilization.</p>
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<p>Biolog EcoPlate<sup>TM</sup> carbon substrates utilization intensity diagram. NI, non-inoculated; I, inoculated with <span class="html-italic">Rhizobium</span>; T1, 5–6 leaf stage; T2, flowering; T3, pod formation stage; <span class="html-italic">n</span> = 3.</p>
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<p>Utilization of categorized substrate by the microbial communities. Errors bars indicate the standard deviations of the mean; * indicates significant difference in polymers utilization between NI T2 and I T2; and + indicates difference in carboxylic acids utilization between NI T3 and I T3 (<span class="html-italic">p</span> &lt; 0.05); <span class="html-italic">n</span> = 3. NI, non-inoculated; I, inoculated with <span class="html-italic">Rhizobium</span>; T1, 5–6 leaf stage; T2, flowering; T3, pod formation stage.</p>
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Article
Quantitative Metabolomic Analysis of Urinary Citrulline and Calcitroic Acid in Mice after Exposure to Various Types of Ionizing Radiation
by Maryam Goudarzi, Siddheshwar Chauthe, Steven J. Strawn, Waylon M. Weber, David J. Brenner and Albert J. Fornace
Int. J. Mol. Sci. 2016, 17(5), 782; https://doi.org/10.3390/ijms17050782 - 20 May 2016
Cited by 12 | Viewed by 5976
Abstract
With the safety of existing nuclear power plants being brought into question after the Fukushima disaster and the increased level of concern over terrorism-sponsored use of improvised nuclear devices, it is more crucial to develop well-defined radiation injury markers in easily accessible biofluids [...] Read more.
With the safety of existing nuclear power plants being brought into question after the Fukushima disaster and the increased level of concern over terrorism-sponsored use of improvised nuclear devices, it is more crucial to develop well-defined radiation injury markers in easily accessible biofluids to help emergency-responders with injury assessment during patient triage. Here, we focused on utilizing ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) to identify and quantitate the unique changes in the urinary excretion of two metabolite markers, calcitroic acid and citrulline, in mice induced by different forms of irradiation; X-ray irradiation at a low dose rate (LDR) of 3.0 mGy/min and a high dose rate (HDR) of 1.1 Gy/min, and internal exposure to Cesium-137 (137Cs) and Strontium-90 (90Sr). The multiple reaction monitoring analysis showed that, while exposure to 137Cs and 90Sr induced a statistically significant and persistent decrease, similar doses of X-ray beam at the HDR had the opposite effect, and the LDR had no effect on the urinary levels of these two metabolites. This suggests that the source of exposure and the dose rate strongly modulate the in vivo metabolomic injury responses, which may have utility in clinical biodosimetry assays for the assessment of exposure in an affected population. This study complements our previous investigations into the metabolomic profile of urine from mice internally exposed to 90Sr and 137Cs and to X-ray beam radiation. Full article
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
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<p>The overall urinary metabolomic profile in mice after exposure to four types of radiation. (<b>A</b>) singular value decomposition-based principle component analysis (PCA) constructed in R showing the distinct separation of the metabolomic profiles of control mice (<b>red</b> circles) from that of mice exposed to ionizing radiation (IR) using the ions present in at least 70% of the samples. This PCA also highlights the similarities in the metabolomic signatures of the 4 exposure types; X-ray irradiation at 1.1 Gy/min (HDR) (<b>dark blue</b> circles), X-ray irradiation at 3.0 mGy/min (LDR) (<b>yellow</b> circles), internal <sup>137</sup>Cs (<b>purple</b> circles), and internal <sup>90</sup>Sr (<b>light blue</b> circles). While the metabolomic signatures of <sup>90</sup>Sr and <sup>137</sup>Cs exposures match each other more closely, they do overlap with HDR and LDR X-ray irradiations; (<b>B</b>) Venn diagram showing the distribution of statistically significant metabolic pathways among the different exposure types. This diagram shows the number of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways with statistically significant perturbations after the above four IR exposures. The blue box highlights the common KEGG pathways, which had statistically significant changes in the urinary excretion of at least one of their intermediates in all four exposure scenarios. This figure shows overall metabolic perturbations (increase or decrease) in these pathways induced by all exposure types.</p>
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<p>Representative UPLC-MS/MS chromatograms of endogenous urinary citrulline detected at 91.5 ng/mL and citrulline-d<sub>4</sub> at 150 ng/mL (Internal Standard). The retention time is presented on the <span class="html-italic">x</span>-axis and the <span class="html-italic">y</span>-axis represent the ion count for the channel. The mass charge ratio of the parent and daughter ions, as well as the ion count for each channel is shown. The peaks represent the most abundant ions that were used for quantification. Multiple reaction monitoring (MRM) transition chromatogram of (<b>A</b>) <span class="html-italic">m</span>/<span class="html-italic">z</span> 176.1→158.9 for citrulline and (<b>B</b>) <span class="html-italic">m</span>/<span class="html-italic">z</span> 180.1→74.1 for spiked neat internal standard citrulline-d<sub>4</sub> used for quantitation.</p>
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<p>Representative UPLC-MS/MS chromatograms of calcitroic acid standard spiked in urine detected at 250 ng/mL and 1α,25-dihydroxyvitamin-D<sub>3</sub>-d<sub>3</sub> at 500 ng/mL (Internal Standard). The retention time is presented on the <span class="html-italic">x</span>-axis and the <span class="html-italic">y</span>-axis represent the ion count for the channel. The mass charge ratio of the parent and daughter ions, as well as the ion count for each channel, is shown. The peaks represent the most abundant ions that were used for quantification. MRM transition chromatogram of (<b>A</b>) <span class="html-italic">m</span>/<span class="html-italic">z</span> 375.4→357.3 for calcitroic acid and (<b>B</b>) <span class="html-italic">m</span>/<span class="html-italic">z</span> transition 419.2→305.0 for spiked neat internal standard 1α,25-dihydroxyvitamin-D<sub>3</sub>-d<sub>3</sub> used for quantitation. Note that quantitation only involved peak area at 1.20 min and excluded that of the peak at 0.73 min.</p>
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<p>(<b>A</b>) changes in the urinary concentration of citrulline from mice after various exposure types. The <span class="html-italic">y</span>-axis represents log<sub>2</sub> fold change after exposure and <span class="html-italic">x</span>-axis represents each of the three exposure senarios; <sup>90</sup>Sr exposure at days 7–9 after exposure at cumulative dose of 2.0 Gy, <sup>137</sup>Cs at day 5 after exposure at cumulative dose of 4.1 Gy, and X-ray at day 5 post 4.4 Gy exposure at high dose rate (HDR) of 1.1 Gy/min and low dose rate (LDR) of 0.00309 Gy/min. <sup>90</sup>Sr and to a lesser extent <sup>137</sup>Cs exposure induced a decrease in the urinary levels of citrulline, while X-ray exposure (HDR) had an opposite effect. No statistically significant change in the urinary concentration of calcitroic acid was detected after LDR exposure; (<b>B</b>) box plot representation of urinary concentration of citrulline after <sup>90</sup>Sr-exposure. The calculated mean ± standard error of the mean (SEM) for the control mice was 326.3 ± 24.6 ng/mL, for days 7–9 at cumulative skeleton dose of 2.0 Gy was 182.8 ± 10.7 ng/mL, and for days 25–30 at 5.0 Gy was 176.1 ± 18.8 ng/mL. Each study group contained at least six samples. Concentration fold change was calculated by the log<sub>2</sub> ratio of urinary concentration of citrulline in mice exposed to <sup>90</sup>Sr to that of citrulline in control mice at each time-point; (<b>C</b>) ROC analysis of citrulline at time-point days 7–9 after <sup>90</sup>Sr-exposure at cumulative average dose of 2.0 Gy compared to controls shows the robustness of the biomarker classification. The predictive power of the biomarker at cutoff of 268.7 ng/mL is at 83.3% specificity and 100% sensitivity. (****) denotes the statistical significance in terms of <span class="html-italic">p</span>-value (<span class="html-italic">p</span>-value &lt; 0.0001) of the change in concentration of citrulline after exposure to <sup>90</sup>Sr in mice at each of the two time-points.</p>
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<p>(<b>A</b>) changes in the urinary concentration of calcitroic acid from mice after various exposure types. The <span class="html-italic">y</span>-axis represents log<sub>2</sub> fold change after exposure and <span class="html-italic">x</span>-axis represents each of the three exposure senarios; <sup>90</sup>Sr exposure at days 7–9 after exposure at cumulative dose of 2.0 Gy, <sup>137</sup>Cs at day 5 after exposure at cumulative dose of 4.1 Gy, and X-ray at day 5 post 4.4 Gy exposure at high dose rate (HDR) of 1.1 Gy/min min and low dose rate (LDR) of 0.00309 Gy/min. <sup>90</sup>Sr and to a lesser extent <sup>137</sup>Cs exposure induced a decrease in the urinary levels of calcitroic acid, while X-ray exposure (HDR) had an opposite effect. No statistically significant change in the urinary concentration of calcitroic acid was detected after LDR exposure; (<b>B</b>) box plot representation of urinary concentration of calcitroic acid from mice after <sup>90</sup>Sr-exposure. The calculated mean ± SEM for the control mice was 13.6 ± 0.96 μg/mL, for days 7–9 at cumulative skeleton dose of 2.0 Gy was 8.4 ± 0.46 μg/mL, and for days 25–30 at 5.0 Gy was 7.5 ± 0.90 μg/mL. Each study group contained at least 6 samples; (<b>B</b>) concentration fold change was calculated by the log<sub>2</sub> ratio of urinary concentration of calcitroic acid in mice exposed to <sup>90</sup>Sr to that of calcitroic acid in control mice at each time-point. This figure clearly shows a persistent and statistically significant decrease in the urinary concentration of calcitroic acid after <sup>90</sup>Sr-exposure; (<b>C</b>) ROC analysis of calcitroic at time-point days 7–9 after exposure at cumulative average dose of 2.0 Gy compared to controls shows that the sensitivity and specificity at cutoff of 11.35 μg/mL are 100% and 83.3% respectively. (***) denotes the statistical significance in terms of <span class="html-italic">p</span>-value (<span class="html-italic">p</span>-value = 0.0002) of the change in concentration of calcitroic acid after exposure at each of the two time-points.</p>
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<p>Overall metabolism of citrulline in the urea cycle and of calcitroic acid secretion into the bile. Citrulline is an important intermediate of the urea cycle in the liver and is primarily synthesized from arginine and glutamine in the enterocytes. Citrulline is essential for the synthesis of arginine, which in turn produces nitric oxide. On the other hand, calcitroic acid has a less defined biological role. Calcitroic acid is an end product of 1α,25-(OH)<sub>2</sub>D<sub>3</sub> metabolism through a C-24 oxidation by mitochondrial CYP24 enzyme and is secreted into the bile [<a href="#B11-ijms-17-00782" class="html-bibr">11</a>]. Osteoblasts, kidneys and intestine metabolize 1α,25-(OH)<sub>2</sub>D<sub>3</sub> through this oxidation pathway, which is an important regulatory pathway for dihydroxyvitamin-D<sub>3</sub>.</p>
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<p>Overview of the untargeted and the quantitative studies. Urine samples were collected at indicated time points from mice exposed to various IR sources; internal <sup>90</sup>Sr, internal <sup>137</sup>Cs, X-ray HDR, and X-ray LDR The samples were initially subjected to untargeted metabolomic profiling using Waters Xevo G2-S UPLC-QToF (Waters, Milford, MA, USA). The acquired data were deconvoluted and analyzed using various bioinformatics tools. A panel of statistically significant metabolite markers were selected based on their clear IR responses, robustness of responses, magnitude of responses, and biological importance. Citrulline and calcitroif acid matched these criteria and thus were selected for quantitative assessment using Waters tandem quadrupole TQ-S. Multiple reaction monitoring methods were developed with the help of appropriate internal standards. The results of such quantitative study are promising as they have the potential to be part of functional assays with clinical applications to assist medical workers assess exposure in a population after a radiological and/or nuclear event.</p>
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Article
Angiotensin II Stimulation of DPP4 Activity Regulates Megalin in the Proximal Tubules
by Annayya Aroor, Marcin Zuberek, Cornel Duta, Alex Meuth, James R. Sowers, Adam Whaley-Connell and Ravi Nistala
Int. J. Mol. Sci. 2016, 17(5), 780; https://doi.org/10.3390/ijms17050780 - 20 May 2016
Cited by 32 | Viewed by 6207
Abstract
Proteinuria is a marker of incipient kidney injury in many disorders, including obesity. Previously, we demonstrated that megalin, a receptor endocytotic protein in the proximal tubule, is downregulated in obese mice, which was prevented by inhibition of dipeptidyl protease 4 (DPP4). Obesity is [...] Read more.
Proteinuria is a marker of incipient kidney injury in many disorders, including obesity. Previously, we demonstrated that megalin, a receptor endocytotic protein in the proximal tubule, is downregulated in obese mice, which was prevented by inhibition of dipeptidyl protease 4 (DPP4). Obesity is thought to be associated with upregulation of intra-renal angiotensin II (Ang II) signaling via the Ang II Type 1 receptor (AT1R) and Ang II suppresses megalin expression in proximal tubule cells in vitro. Therefore, we tested the hypothesis that Ang II will suppress megalin protein via activation of DPP4. We used Ang II (200 ng/kg/min) infusion in mice and Ang II (10−8 M) treatment of T35OK-AT1R proximal tubule cells to test our hypothesis. Ang II-infused mouse kidneys displayed increases in DPP4 activity and decreases in megalin. In proximal tubule cells, Ang II stimulated DPP4 activity concurrent with suppression of megalin. MK0626, a DPP4 inhibitor, partially restored megalin expression similar to U0126, a mitogen activated protein kinase (MAPK)/extracellular regulated kinase (ERK) kinase kinase (MEK) 1/2 inhibitor and AG1478, an epidermal growth factor receptor (EGFR) inhibitor. Similarly, Ang II-induced ERK phosphorylation was suppressed with MK0626 and Ang II-induced DPP4 activity was suppressed by U0126. Therefore, our study reveals a cross talk between AT1R signaling and DPP4 activation in the regulation of megalin and underscores the significance of targeting DPP4 in the prevention of obesity related kidney injury progression. Full article
(This article belongs to the Special Issue Advances in Chronic Kidney Disease)
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<p>Ang II infusion activates the renin-angiotensin system (RAS) and dipeptidyl peptidase 4 (DPP4) and suppresses megalin protein levels in mice: (<b>A</b>) Quantification of differential mRNA expression of RAS in the kidney (<b>Ai</b>–<b>Aiv</b>) and depiction of actual bands that were used for quantification (<b>Av</b>); (<b>B</b>) DPP4 activity in the kidney expressed as relative light units (RLUs); and (<b>C</b>) megalin protein expression by immunoblot of kidney lysates. <span class="html-italic">n</span> = 3–4; * <span class="html-italic">p</span> &lt; 0.05; AGT: Angiotensinogen; AT<sub>1A</sub>R: Angiotensin type 1A receptor; AT<sub>1B</sub>R: Angiotensin type 1B receptor; AT2R: Angiotensin type 2 receptor; 18s: 18s ribosomal RNA; Con: Saline-infused mice; Ang II: Ang II-infused mice (200 ng/kg/min).</p>
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<p>DPP4 enzymatic activity and protein levels in T35OK-AT<sub>1</sub>R proximal tubule cells after acute stimulation with Ang II: (<b>A</b>) DPP4 activity after stimulation (30 min) with Ang II (10<sup>−8</sup> M) and blockade (60 min prior to Ang II) with olmesartan (10<sup>−6</sup> M) or MK0626 (5 × 10<sup>−6</sup> M); and (<b>B</b>) DPP4 protein levels after stimulation (30 min) with Ang II and blockade with olmesartan and MK0626. <span class="html-italic">n</span> = 3–5; * <span class="html-italic">p</span> &lt; 0.05; Olme: Olmesartan; MK0626: Rodent DPP4 inhibitor (Merck &amp; Co., Inc.).</p>
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<p>Ang II regulates megalin protein expression via DPP4 activation. (<b>A</b>) Megalin protein expression by immunoblot in T35OK-AT<sub>1</sub>R proximal tubule cells. Proximal tubule cells were stimulated with Ang II (10<sup>−8</sup> M) for 24 h and pre-treated 1 h with olmesartan (10<sup>−6</sup> M), AG1478 (10<sup>−5</sup> M), U0126 (10<sup>−5</sup> M) and MK0626 (5 × 10<sup>−5</sup> M); (<b>B</b>) ERK1/2 activation was assessed by pThr<sup>202</sup>Tyr<sup>204</sup>-ERK1/2 increase. Proximal tubule cells were stimulated with Ang II (10<sup>−8</sup> M) for 30 min and the ratio of pThr<sup>202</sup>Tyr<sup>204</sup>-ERK1/2 to total ERK1/2 ratio was calculated. Proximal tubule cells were pre-treated for 1 h with olmesartan (10<sup>−6</sup> M), AG1478 (10<sup>−5</sup> M), U0126 (10<sup>−5</sup> M) and MK0626 (5 × 10<sup>−5</sup> M); (<b>C</b>) DPP4 activity in conditions of chronic Ang II stimulation. T35OK-AT<sub>1</sub>R proximal tubule cells were stimulated for 24 h with Ang II (10<sup>−8</sup> M) and olmesartan (10<sup>−6</sup> M), AG1478 (10<sup>−5</sup> M), U0126 (10<sup>−5</sup> M) and MK0626 (5 × 10<sup>−5</sup> M) were tested for blockade of Ang II-mediated increase in DPP4 activity. <span class="html-italic">n</span> = 3–6; * <span class="html-italic">p</span> &lt; 0.05 when compared to control; † <span class="html-italic">p</span> &lt; 0.05 when compared to Ang II.</p>
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171 KiB  
Editorial
International Journal of Molecular Sciences 2016 Best Paper Award
by International Journal of Molecular Sciences Editorial Office
Int. J. Mol. Sci. 2016, 17(5), 777; https://doi.org/10.3390/ijms17050777 - 20 May 2016
Cited by 7 | Viewed by 8231
Abstract
The Editors of the International Journal of Molecular Sciences have established the Best Paper Award to recognize the most outstanding articles published in the areas of molecular biology, molecular physics and chemistry that have been published in the International Journal of Molecular Sciences.[...] [...] Read more.
The Editors of the International Journal of Molecular Sciences have established the Best Paper Award to recognize the most outstanding articles published in the areas of molecular biology, molecular physics and chemistry that have been published in the International Journal of Molecular Sciences.[...] Full article
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1096 KiB  
Article
Integrated Analysis of Expression Profile Based on Differentially Expressed Genes in Middle Cerebral Artery Occlusion Animal Models
by Huaqiang Zhou, Zeting Qiu, Shaowei Gao, Qinchang Chen, Si Li, Wulin Tan, Xiaochen Liu and Zhongxing Wang
Int. J. Mol. Sci. 2016, 17(5), 776; https://doi.org/10.3390/ijms17050776 - 20 May 2016
Cited by 12 | Viewed by 6458
Abstract
Stroke is one of the most common causes of death, only second to heart disease. Molecular investigations about stroke are in acute shortage nowadays. This study is intended to explore a gene expression profile after brain ischemia reperfusion. Meta-analysis, differential expression analysis, and [...] Read more.
Stroke is one of the most common causes of death, only second to heart disease. Molecular investigations about stroke are in acute shortage nowadays. This study is intended to explore a gene expression profile after brain ischemia reperfusion. Meta-analysis, differential expression analysis, and integrated analysis were employed on an eight microarray series. We explored the functions and pathways of target genes in gene ontology (GO) enrichment analysis and constructed a protein-protein interaction network. Meta-analysis identified 360 differentially expressed genes (DEGs) for Mus musculus and 255 for Rattus norvegicus. Differential expression analysis identified 44 DEGs for Mus musculus and 21 for Rattus norvegicus. Timp1 and Lcn2 were overexpressed in both species. The cytokine-cytokine receptor interaction and chemokine signaling pathway were highly enriched for the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. We have exhibited a global view of the potential molecular differences between middle cerebral artery occlusion (MCAO) animal model and sham for Mus musculus or Rattus norvegicus, including the biological process and enriched pathways in DEGs. This research helps contribute to a clearer understanding of the inflammation process and accurate identification of ischemic infarction stages, which might be transformed into a therapeutic approach. Full article
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
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<p>Search in the public microarray data repositories identified 128 microarray datasets. We finally selected eight studies for studies according to the included and excluded criteria.</p>
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<p>Protein–protein interaction (PPI) network. The confidence scores are marked in the line of interaction. (White: <span class="html-italic">Mus musculus</span>; Black: <span class="html-italic">Rattus norvegicus</span>).</p>
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<p>Forest plots of Timp1 and Lcn2. Forest plots of (<b>A</b>) Timp1 in <span class="html-italic">Mus musculus</span>; (<b>B</b>) Lcn2 in <span class="html-italic">Mus musculus</span>; (<b>C</b>) Timp1 in <span class="html-italic">Rattus norvegicus</span>; and (<b>D</b>) Lcn2 in <span class="html-italic">Rattus norvegicus</span>. For each forest plot, the bar at the top shows the occurrence of combining <span class="html-italic">p</span>-values and combining effect size methods in selected genes. The dark gray box means that the result of the particular method in the selected gene is present, while light gray means that it is absent. The graph at the bottom shows the combination of effect size. The point marks the effect size, the horizontal lines denote the variance of effect size. Adjusted FDR (false discovery rate) on the right side of the graph presents the statistical significance of the difference in gene expression.</p>
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<p>Forest plots of Timp1 and Lcn2. Forest plots of (<b>A</b>) Timp1 in <span class="html-italic">Mus musculus</span>; (<b>B</b>) Lcn2 in <span class="html-italic">Mus musculus</span>; (<b>C</b>) Timp1 in <span class="html-italic">Rattus norvegicus</span>; and (<b>D</b>) Lcn2 in <span class="html-italic">Rattus norvegicus</span>. For each forest plot, the bar at the top shows the occurrence of combining <span class="html-italic">p</span>-values and combining effect size methods in selected genes. The dark gray box means that the result of the particular method in the selected gene is present, while light gray means that it is absent. The graph at the bottom shows the combination of effect size. The point marks the effect size, the horizontal lines denote the variance of effect size. Adjusted FDR (false discovery rate) on the right side of the graph presents the statistical significance of the difference in gene expression.</p>
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<p>A summary of analysis workflow. RLE, relative log expression; NUSE, normalized unscaled standard errors; DEGs, differentially expressed genes. Solid line with arrow refers to directed workflow. Dash line refers to enriched gene sets of several studies.</p>
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Review
The Natural Course of Non-Alcoholic Fatty Liver Disease
by Luis Calzadilla Bertot and Leon Anton Adams
Int. J. Mol. Sci. 2016, 17(5), 774; https://doi.org/10.3390/ijms17050774 - 20 May 2016
Cited by 456 | Viewed by 21622
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most prevalent form of chronic liver disease in the world, paralleling the epidemic of obesity and Type 2 diabetes mellitus (T2DM). NAFLD exhibits a histological spectrum, ranging from “bland steatosis” to the more aggressive necro-inflammatory form, [...] Read more.
Non-alcoholic fatty liver disease (NAFLD) is the most prevalent form of chronic liver disease in the world, paralleling the epidemic of obesity and Type 2 diabetes mellitus (T2DM). NAFLD exhibits a histological spectrum, ranging from “bland steatosis” to the more aggressive necro-inflammatory form, non-alcoholic steatohepatitis (NASH) which may accumulate fibrosis to result in cirrhosis. Emerging data suggests fibrosis, rather than NASH per se, to be the most important histological predictor of liver and non-liver related death. Nevertheless, only a small proportion of individuals develop cirrhosis, however the large proportion of the population affected by NAFLD has led to predictions that NAFLD will become a leading cause of end stage liver disease, hepatocellular carcinoma (HCC), and indication for liver transplantation. HCC may arise in non-cirrhotic liver in the setting of NAFLD and is associated with the presence of the metabolic syndrome (MetS) and male gender. The MetS and its components also play a key role in the histological progression of NAFLD, however other genetic and environmental factors may also influence the natural history. The importance of NAFLD in terms of overall survival extends beyond the liver where cardiovascular disease and malignancy represents additional important causes of death. Full article
(This article belongs to the Special Issue Non-Alcoholic Fatty Liver Disease Research 2016)
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<p>Progression of non-alcoholic fatty liver disease (NAFLD) to non-alcoholic steatohepatitis (NASH) with or without fibrosis, cirrhosis, and hepatocellular carcinoma. Data adapted form [<a href="#B7-ijms-17-00774" class="html-bibr">7</a>,<a href="#B8-ijms-17-00774" class="html-bibr">8</a>,<a href="#B9-ijms-17-00774" class="html-bibr">9</a>] and [<a href="#B24-ijms-17-00774" class="html-bibr">24</a>].</p>
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Article
Polymeric Nanoparticle-Based Photodynamic Therapy for Chronic Periodontitis in Vivo
by Laura Marise De Freitas, Giovana Maria Fioramonti Calixto, Marlus Chorilli, Juçaíra Stella M. Giusti, Vanderlei Salvador Bagnato, Nikolaos S. Soukos, Mansoor M. Amiji and Carla Raquel Fontana
Int. J. Mol. Sci. 2016, 17(5), 769; https://doi.org/10.3390/ijms17050769 - 20 May 2016
Cited by 82 | Viewed by 9987
Abstract
Antimicrobial photodynamic therapy (aPDT) is increasingly being explored for treatment of periodontitis. Here, we investigated the effect of aPDT on human dental plaque bacteria in suspensions and biofilms in vitro using methylene blue (MB)-loaded poly(lactic-co-glycolic) (PLGA) nanoparticles (MB-NP) and red light [...] Read more.
Antimicrobial photodynamic therapy (aPDT) is increasingly being explored for treatment of periodontitis. Here, we investigated the effect of aPDT on human dental plaque bacteria in suspensions and biofilms in vitro using methylene blue (MB)-loaded poly(lactic-co-glycolic) (PLGA) nanoparticles (MB-NP) and red light at 660 nm. The effect of MB-NP-based aPDT was also evaluated in a clinical pilot study with 10 adult human subjects with chronic periodontitis. Dental plaque samples from human subjects were exposed to aPDT—in planktonic and biofilm phases—with MB or MB-NP (25 µg/mL) at 20 J/cm2 in vitro. Patients were treated either with ultrasonic scaling and scaling and root planing (US + SRP) or ultrasonic scaling + SRP + aPDT with MB-NP (25 µg/mL and 20 J/cm2) in a split-mouth design. In biofilms, MB-NP eliminated approximately 25% more bacteria than free MB. The clinical study demonstrated the safety of aPDT. Both groups showed similar improvements of clinical parameters one month following treatments. However, at three months ultrasonic SRP + aPDT showed a greater effect (28.82%) on gingival bleeding index (GBI) compared to ultrasonic SRP. The utilization of PLGA nanoparticles encapsulated with MB may be a promising adjunct in antimicrobial periodontal treatment. Full article
(This article belongs to the Special Issue Drug Delivery and Antimicrobial Agents)
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<p>Recovered CFU/mL after antimicrobial photodynamic therapy (aPDT) treatment of planktonic bacteria with free methylene blue (MB) (25 µg/mL) and MB-NP (25 µg/mL equivalent to MB) and visible light at 660 nm with an energy fluence of 20 J/cm<sup>2</sup>. Each bar is the mean values of the means from 10 samples (data from each sample were representative of four independent suspensions). Error bars denote the standard deviation of the mean. The asterisks represent the statistical difference between the groups and the control (one-way ANOVA with Tukey’s <span class="html-italic">post hoc</span>). *** <span class="html-italic">p</span> &lt; 0.001; ns: not significant; MB: methylene blue; MB-NP: MB-loaded PLGA nanoparticles; CFU: colony forming units.</p>
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<p>Recovered CFU/mL after aPDT treatment of bacteria growing in biofilms with free MB (25 µg/mL) and MB-NP (25 µg/mL equivalent to MB) and visible light at 660 nm with an energy fluence of 20 J/cm<sup>2</sup>. Each bar is the mean values of the means from 10 samples (data from each sample were representative of four independent biofilms). The asterisks represent the statistical difference between the groups and the control (one-way ANOVA with Tukey’s <span class="html-italic">post hoc</span>). *** <span class="html-italic">p</span> &lt; 0.001; ns: not significant; MB: methylene blue; MB-NP: MB-loaded PLGA nanoparticles; CFU: colony forming units.</p>
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<p>Probing pocket depths. Probing was accessed at baseline, one week, one month, and three months after treatments. Shapes represent mean values from 10 patients at each time point. Error bars represent the standard deviation. US + SRP: ultrasonic scaling and scaling and root planing; US + SRP + aPDT: US + SRP followed by antimicrobial photodynamic therapy.</p>
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<p>Visible plaque and Gingival bleeding indexes. VPI (<b>a</b>) and GBI (<b>b</b>) scores were accessed at baseline, one week, one month, and three months after treatments. Shapes represent mean values from 10 patients at each time point. Error bars represent the standard deviation. US + SRP: ultrasonic scaling and scaling and root planing; US + SRP + aPDT: US + SRP followed by antimicrobial photodynamic therapy.</p>
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<p>Bleeding on probing and Clinical attachment level. BOP (<b>a</b>) and CAL (<b>b</b>) scores were accessed at baseline, one week, one month, and three months after treatments. Shapes represent mean values from 10 patients at each time point. Error bars represent the standard deviation. US + SRP: ultrasonic scaling and scaling and root planing; US + SRP + aPDT: US + SRP followed by antimicrobial photodynamic therapy.</p>
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<p>Scanning electron micrograph (SEM) of PLGA nanoparticles. Figure shows an SEM image of higher magnification with spherical nanoparticles of 150–250 nm in diameter.</p>
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0 pages, 155 KiB  
Retraction
RETRACTED: Xu, et al. Tanshinone IIA Pretreatment Renders Free Flaps against Hypoxic Injury through Activating Wnt Signaling and Upregulating Stem Cell-Related Biomarkers. Int. J. Mol. Sci. 2014, 15, 18117–18130
by International Journal of Molecular Sciences Editorial Office
Int. J. Mol. Sci. 2016, 17(5), 768; https://doi.org/10.3390/ijms17050768 - 20 May 2016
Cited by 2 | Viewed by 3634
Abstract
We have been made aware that text, figures and experimental data reported in the title paper [...] Full article
5198 KiB  
Article
Development of Therapeutic Chimeric Uricase by Exon Replacement/Restoration and Site-Directed Mutagenesis
by Guangrong Xie, Weizhen Yang, Jing Chen, Miaomiao Li, Nan Jiang, Baixue Zhao, Si Chen, Min Wang and Jianhua Chen
Int. J. Mol. Sci. 2016, 17(5), 764; https://doi.org/10.3390/ijms17050764 - 20 May 2016
Cited by 10 | Viewed by 5737
Abstract
The activity of urate oxidase was lost during hominoid evolution, resulting in high susceptibility to hyperuricemia and gout in humans. In order to develop a more “human-like” uricase for therapeutic use, exon replacement/restoration and site-directed mutagenesis were performed to obtain porcine–human uricase with [...] Read more.
The activity of urate oxidase was lost during hominoid evolution, resulting in high susceptibility to hyperuricemia and gout in humans. In order to develop a more “human-like” uricase for therapeutic use, exon replacement/restoration and site-directed mutagenesis were performed to obtain porcine–human uricase with higher homology to deduced human uricase (dHU) and increased uricolytic activity. In an exon replacement study, substitution of exon 6 in wild porcine uricase (wPU) gene with corresponding exon in dhu totally abolished its activity. Substitutions of exon 5, 3, and 1–2 led to 85%, 60%, and 45% loss of activity, respectively. However, replacement of exon 4 and 7–8 did not significantly change the enzyme activity. When exon 5, 6, and 3 in dhu were replaced by their counterparts in wpu, the resulting chimera H1-2P3H4P5-6H7-8 was active, but only about 28% of wPU. Multiple sequence alignment and homology modeling predicted that mutations of E24D and E83G in H1-2P3H4P5-6H7-8 were favorable for further increase of its activity. After site-directed mutagenesis, H1-2P3H4P5-6H7-8 (E24D & E83G) with increased homology (91.45%) with dHU and higher activity and catalytic efficiency than the FDA-approved porcine–baboon chimera (PBC) was obtained. It showed optimum activity at pH 8.5 and 35 °C and was stable in a pH range of 6.5–11.0 and temperature range of 20–40 °C. Full article
(This article belongs to the Section Biochemistry)
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<p>Enzymatic activity of porcine–human chimeras generated during exon replacement and exon restoration study. The enzymatic activity is expressed as a percentage of the activity observed for wPU. (<span class="html-italic">n</span> = 5, error bars represent standard deviation). (A) dHU; (B) H<sub>1-2</sub>P<sub>3-8</sub>; (C) P<sub>1-2</sub>H<sub>3</sub>P<sub>4-8</sub>; (D) P<sub>1-3</sub>H<sub>4</sub>P<sub>5-8</sub>; (E) P<sub>1-4</sub>H<sub>5</sub>P<sub>6-8</sub>; (F) P<sub>1-5</sub>H<sub>6</sub>P<sub>7-8</sub>; (G) P<sub>1-6</sub>H<sub>7-8</sub>; (H) H<sub>1-5</sub>P<sub>6</sub>H<sub>7-8</sub>; (I) H<sub>1-4</sub>P<sub>5-6</sub>H<sub>7-8</sub>; (J) H<sub>1-2</sub>P<sub>3</sub>H<sub>4</sub>P<sub>5-6</sub>H<sub>7-8</sub>.</p>
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<p>Homogeneity of purified wPU by SDS-PAGE analysis. Lane 1: purified wPU; lane M: molecular weight markers.</p>
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<p>Alignment of deduced protein sequences of H<sub>1-2</sub>P<sub>3</sub>H<sub>4</sub>P<sub>5-6</sub>H<sub>7-8</sub> with nonfunctional dHU and six functional Uox. Protein sequences are given as standard single-letter designations. DNA sequences of dHU (AB074326.2 with correction of the two stop codons), baboon uricase (BAB91554.1), canine uricase (NP_001069116.1), and porcine uricase (NP_999435.1) are retrieved from GenBank. DNA sequences of pthe orcine–baboon chimera (PBC), porcine–human chimera (PHC), and canine–human chimera (CHC) were obtained from related patents. Inconsistent amino acid residues are highlighted with light blue.</p>
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<p>Part of the tertiary structure of H<sub>1-2</sub>P<sub>3</sub>H<sub>4</sub>P<sub>5-6</sub>H<sub>7-8</sub> before and after amino acid replacement at position 24, constructed using MOE (Molecular Operating Environment). Amino acid residue 24 is shown as a ball and stick structure. The carbon atoms are shown in gray ball, the oxygen atoms are shown in red ball, the nitrogen atoms are in dark blue ball. Backbones of two neighboring monomers are shown in red and green. (<b>a</b>) 3D structure with amino acid residue D24; (<b>b</b>) 3D structure with amino acid residue E24.</p>
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<p>Part of the tertiary structure of H<sub>1-2</sub>P<sub>3</sub>H<sub>4</sub>P<sub>5-6</sub>H<sub>7-8</sub> before and after amino acid replacement at position 83, constructed using MOE. Amino acid residue 83 is shown as a ball and stick structure. The α-helix is shown in red; the β-sheet is shown in yellow. (<b>a</b>) 3D structure with amino acid residue G83; (<b>b</b>) 3D structure with amino acid residue E83.</p>
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<p>Specific activity determined for mutants obtained by site-directed mutagenesis. Values are expressed as a percentage of the specific activity observed for wPU. (<span class="html-italic">n</span> = 5, error bars represent standard deviation). (A) H<sub>1-2</sub>P<sub>3</sub>H<sub>4</sub>P<sub>5-6</sub>H<sub>7-8</sub>; (B) H<sub>1-2</sub>P<sub>3</sub>H<sub>4</sub>P<sub>5-6</sub>H<sub>7-8</sub> (E24D); (C) H<sub>1-2</sub>P<sub>3</sub>H<sub>4</sub>P<sub>5-6</sub>H<sub>7-8</sub> (E24D &amp; E83G); (D) PBC.</p>
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<p>Structure modeling of uric acid to H<sub>1-2</sub>P<sub>3</sub>H<sub>4</sub>P<sub>5-6</sub>H<sub>7-8</sub> (E24D &amp; E83G) is illustrated in both 2D and 3D view (<b>A</b>,<b>B</b>). In 2D views, intermolecular interactions between the receptor and the ligand are illustrated, with (<b>A</b>) and (<b>B</b>) indicating amino acid residues from different subunits. In 3D views, both uric acid and amino acid residues involving in the binding are shown as stick structures. Subunit (<b>A</b>) is shown in pink whereas unit (<b>B</b>) is shown in blue. The carbon atoms in uric acid are shown in green, the carbon atoms in amino acid residues are shown in gray, the oxygen atoms are shown in red, and the nitrogen atoms are shown in blue.</p>
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<p>Effect of temperature on uricolytic activity (<b>a</b>) and stability (<b>b</b>) of wPU (▲), PBC (■), and H<sub>1-2</sub>P<sub>3</sub>H<sub>4</sub>P<sub>5-6</sub>H<sub>7-8</sub> (E24D &amp; E83G) (●). Enzyme activity at the optimum temperature (activity) or at the beginning of incubation (stability) was assumed to be 100%.</p>
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<p>Effect of pH on uricolytic activity (<b>a</b>) and stability (<b>b</b>) of wPU (▲), PBC (■), and H<sub>1-2</sub>P<sub>3</sub>H<sub>4</sub>P<sub>5-6</sub>H<sub>7-8</sub> (E24D &amp; E83G) (●). Enzyme activity at the optimum pH (activity) or at the beginning of incubation (stability) was assumed to be 100%.</p>
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Article
Degree of Conversion and BisGMA, TEGDMA, UDMA Elution from Flowable Bulk Fill Composites
by Edina Lempel, Zsuzsanna Czibulya, Bálint Kovács, József Szalma, Ákos Tóth, Sándor Kunsági-Máté, Zoltán Varga and Katalin Böddi
Int. J. Mol. Sci. 2016, 17(5), 732; https://doi.org/10.3390/ijms17050732 - 20 May 2016
Cited by 67 | Viewed by 8534
Abstract
The degree of conversion (DC) and the released bisphenol A diglycidyl ether dimethacrylate (BisGMA), triethylene glycol dimethacrylate (TEGDMA) and urethane dimethacrylate (UDMA) monomers of bulk-fill composites compared to that of conventional flowable ones were assessed using micro-Raman spectroscopy and high performance liquid chromatography [...] Read more.
The degree of conversion (DC) and the released bisphenol A diglycidyl ether dimethacrylate (BisGMA), triethylene glycol dimethacrylate (TEGDMA) and urethane dimethacrylate (UDMA) monomers of bulk-fill composites compared to that of conventional flowable ones were assessed using micro-Raman spectroscopy and high performance liquid chromatography (HPLC). Four millimeter-thick samples were prepared from SureFil SDR Flow (SDR), X-tra Base (XB), Filtek Bulk Fill (FBF) and two and four millimeter samples from Filtek Ultimate Flow (FUF). They were measured with micro-Raman spectroscopy to determine the DC% of the top and the bottom surfaces. The amount of released monomers in 75% ethanol extraction media was measured with HPLC. The differences between the top and bottom DC% were significant for each material. The mean DC values were in the following order for the bottom surfaces: SDR_4mm_20s > FUF_2mm_20s > XB_4mm_20s > FBF_4mm_20s > XB_4mm_10s > FBF_4mm_10s > FUF_4mm_20s. The highest rate in the amount of released BisGMA and TEGDMA was found from the 4 mm-thick conventional flowable FUF. Among bulk-fills, FBF showed a twenty times higher amount of eluted UDMA and twice more BisGMA; meanwhile, SDR released a significantly higher amount of TEGDMA. SDR bulk-fill showed significantly higher DC%; meanwhile XB, FBF did not reach the same level DC, as that of the 2 mm-thick conventional composite at the bottom surface. Conventional flowable composites showed a higher rate of monomer elution compared to the bulk-fills, except FBF, which showed a high amount of UDMA release. Full article
(This article belongs to the Special Issue Molecular Research on Dental Materials and Biomaterials)
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<p>Mean DC% and 95% confidence intervals of the top surface of the samples (abbreviations: DC, degree of conversion; n.s., not significant difference; FUF_2mm_20s, Filtek Ultimate Flow in a 2-mm layer thickness cured for 20 s; FUF_4mm_20s, Filtek Ultimate Flow in a 4-mm layer thickness cured for 20 s; FBF_4mm_10s, 4 mm-thick Filtek Bulk Fill light cured for 10 s; FBF_4mm_20s, 4 mm-thick Filtek Bulk Fill light cured for 20 s; XB_4mm_10s, 4 mm-thick X-tra Base light cured for 10 s; XB_4mm_20s, 4 mm-thick X-tra Base light cured for 20 s; SDR_4mm_20s, SureFil SDR Flow in a 4-mm layer thickness cured for 20 s).</p>
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<p>Mean DC% and 95% confidence intervals of the bottom surface of the samples (abbreviations: DC, degree of conversion; n.s., not significant difference; FUF_2mm_20s, Filtek Ultimate Flow in a 2-mm layer thickness cured for 20 s; FUF_4mm_20s, Filtek Ultimate Flow in a 4-mm layer thickness cured for 20 s; FBF_4mm_10s, 4 mm-thick Filtek Bulk Fill light cured for 10 s; FBF_4mm_20s, 4 mm-thick Filtek Bulk Fill light cured for 20 s; XB_4mm_10s, 4 mm-thick X-tra Base light cured for 10 s; XB_4mm_20s, 4 mm-thick X-tra Base light cured for 20 s; SDR_4mm_20s, SureFil SDR Flow in a 4-mm layer thickness cured for 20 s).</p>
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<p>Amount of eluted monomers from bulk-fill and conventional flowable composites. (Abbreviations: SDR, SureFil SDR Flow in a 4-mm layer thickness light cured for 20 s; FBF, Filtek Bulk Fill in a 4-mm layer thickness light cured for 10 s; XB, X-tra Base in a 4-mm layer thickness light cured for 10 s; FUF 4 mm, Filtek Ultimate Flow in a 4-mm layer thickness light cured for 20 s; FUF 2 mm, Filtek Ultimate Flow in a 2-mm layer thickness light cured for 20 s).</p>
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Article
Ruthenium Complexes Induce HepG2 Human Hepatocellular Carcinoma Cell Apoptosis and Inhibit Cell Migration and Invasion through Regulation of the Nrf2 Pathway
by Yiyu Lu, Ting Shen, Hua Yang and Weiguang Gu
Int. J. Mol. Sci. 2016, 17(5), 775; https://doi.org/10.3390/ijms17050775 - 19 May 2016
Cited by 33 | Viewed by 6887
Abstract
Ruthenium (Ru) complexes are currently the focus of substantial interest because of their potential application as chemotherapeutic agents with broad anticancer activities. This study investigated the in vitro and in vivo anticancer activities and mechanisms of two Ru complexes—2,3,7,8,12,13,17,18-Octaethyl-21H,23H-porphine Ru(II) carbonyl (Ru1) and [...] Read more.
Ruthenium (Ru) complexes are currently the focus of substantial interest because of their potential application as chemotherapeutic agents with broad anticancer activities. This study investigated the in vitro and in vivo anticancer activities and mechanisms of two Ru complexes—2,3,7,8,12,13,17,18-Octaethyl-21H,23H-porphine Ru(II) carbonyl (Ru1) and 5,10,15,20-Tetraphenyl-21H,23H-porphine Ru(II) carbonyl (Ru2)—against human hepatocellular carcinoma (HCC) cells. These Ru complexes effectively inhibited the cellular growth of three human hepatocellular carcinoma (HCC) cells, with IC50 values ranging from 2.7–7.3 μM. In contrast, the complexes exhibited lower toxicity towards L02 human liver normal cells with IC50 values of 20.4 and 24.8 μM, respectively. Moreover, Ru2 significantly inhibited HepG2 cell migration and invasion, and these effects were dose-dependent. The mechanistic studies demonstrated that Ru2 induced HCC cell apoptosis, as evidenced by DNA fragmentation and nuclear condensation, which was predominately triggered via caspase family member activation. Furthermore, HCC cell treatment significantly decreased the expression levels of Nrf2 and its downstream effectors, NAD(P)H: quinone oxidoreductase 1 (NQO1) and heme oxygenase 1 (HO1). Ru2 also exhibited potent in vivo anticancer efficacy in a tumor-bearing nude mouse model, as demonstrated by a time- and dose-dependent inhibition on tumor growth. The results demonstrate the therapeutic potential of Ru complexes against HCC via Nrf2 pathway regulation. Full article
(This article belongs to the Special Issue Recent Advances in Metal Based Drugs)
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<p>Ru complexes exert <span class="html-italic">in vitro</span> anticancer activities. (<b>a</b>) Chemical structure of Ru complexes; (<b>b</b>) Cytotoxicity of Ru complexes towards human cancer and normal cells. Human hepatocellular carcinoma (HCC) and L02 cells were treated with Ru complexes for 72 h. The cell viability was subsequently investigated via an MTT assay.</p>
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<p>Ru complexes exert <span class="html-italic">in vitro</span> anticancer activities. (<b>a</b>) Chemical structure of Ru complexes; (<b>b</b>) Cytotoxicity of Ru complexes towards human cancer and normal cells. Human hepatocellular carcinoma (HCC) and L02 cells were treated with Ru complexes for 72 h. The cell viability was subsequently investigated via an MTT assay.</p>
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<p>Effects of <b>Ru2</b> on HepG2 cell migration. Cells were exposed to different <b>Ru2</b> concentrations for 24 h and photographed using a phase-contrast microscope (200×, Nikon TS100, Nikon, Tokyo, Japan). Values in the images indicate the migration ability of the cells.</p>
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<p>Effects of <b>Ru2</b> on HepG2 cell invasion by using Transwell Boyden assay. Cells were exposed to different <b>Ru2</b> concentrations for 24 h, stained with Giemsa solution, and photographed using a phase-contrast microscope (200×, Nikon TS100). Values under the images indicate the invasion ability of the cells.</p>
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<p>Quantitative analysis of the cell cycle distribution and apoptotic cell death as examined via flow cytometry. Cells were pretreated with or without <b>Ru2</b> for 24 h.</p>
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<p>Apoptotic DNA fragmentation and nuclear condensation induced by <b>Ru2</b> as determined via a TUNEL-DAPI co-staining assay (magnification, 200×). Cells were treated with <b>Ru2</b> for 24 h.</p>
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<p>Caspase activities in HCC cells following <b>Ru2</b> exposure as evaluated via a specific fluorogenic substrate. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 compared with the control. Cells were treated with Ru complexes for 24 h.</p>
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<p>Important roles of ROS in cell apoptosis induced by <b>Ru2</b>. (<b>a</b>) Effects of concentration on intracellular ROS generation following <b>Ru2</b> treatment in HepG2 cells. The cells were treated with 10 µM DHE probe for 30 min; (<b>b</b>) Protective effects of <span class="html-italic">N</span>-acetylcysteine (NAC) on <b>Ru2</b>-induced growth inhibition. Bars with different characters are statistically different at * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 levels. The cells were pretreated with NAC (1 mM) for 2 h followed by co-incubation with different concentrations of <b>Ru2</b>.</p>
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<p>Regulation of Nrf2 pathway by <b>Ru2</b>. (<b>a</b>) Effects of <b>Ru2</b> on the expression levels of Nrf2, HO1, and NQO1 in HepG2 cells after treatments for 24 h; (<b>b</b>) Immuno-fluorescence of Nrf2 in cells treated with <b>Ru2</b> for 24 h (magnification, 200×).</p>
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<p><span class="html-italic">In vivo</span> antitumor efficacy and action mechanisms of <b>Ru2</b>. Inhibition of HepG2 xenograft tumor weight (<b>a</b>) and tumor volume (<b>b</b>) by <b>Ru2</b>. BALB/c nude mice bearing HepG2 xenograft tumors were treated with the complex (2.5 and 5.0 mg/kg every other day) for 20 days. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 compared with the control.</p>
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926 KiB  
Article
Predicting MicroRNA Biomarkers for Cancer Using Phylogenetic Tree and Microarray Analysis
by Hsiuying Wang
Int. J. Mol. Sci. 2016, 17(5), 773; https://doi.org/10.3390/ijms17050773 - 19 May 2016
Cited by 26 | Viewed by 7729
Abstract
MicroRNAs (miRNAs) are shown to be involved in the initiation and progression of cancers in the literature, and the expression of miRNAs is used as an important cancer prognostic tool. The aim of this study is to predict high-confidence miRNA biomarkers for cancer. [...] Read more.
MicroRNAs (miRNAs) are shown to be involved in the initiation and progression of cancers in the literature, and the expression of miRNAs is used as an important cancer prognostic tool. The aim of this study is to predict high-confidence miRNA biomarkers for cancer. We adopt a method that combines miRNA phylogenetic structure and miRNA microarray data analysis to discover high-confidence miRNA biomarkers for colon, prostate, pancreatic, lung, breast, bladder and kidney cancers. There are 53 miRNAs selected through this method that either have potential to involve a single cancer’s development or to involve several cancers’ development. These miRNAs can be used as high-confidence miRNA biomarkers of these seven investigated cancers for further experiment validation. miR-17, miR-20, miR-106a, miR-106b, miR-92, miR-25, miR-16, miR-195 and miR-143 are selected to involve a single cancer’s development in these seven cancers. They have the potential to be useful miRNA biomarkers when the result can be confirmed by experiments. Full article
(This article belongs to the Special Issue MicroRNA Regulation)
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<p>The numbers of miRNA selected by the proposed method or the microarray analysis.</p>
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<p>Ninety miRNA classifications subject to target cancer.</p>
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<p>Phylogenetic tree of 90 miRNAs.</p>
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<p>The flowchart of the method.</p>
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591 KiB  
Article
A Study of Single Nucleotide Polymorphisms of the SLC19A1/RFC1 Gene in Subjects with Autism Spectrum Disorder
by Naila Al Mahmuda, Shigeru Yokoyama, Jian-Jun Huang, Li Liu, Toshio Munesue, Hideo Nakatani, Kenshi Hayashi, Kunimasa Yagi, Masakazu Yamagishi and Haruhiro Higashida
Int. J. Mol. Sci. 2016, 17(5), 772; https://doi.org/10.3390/ijms17050772 - 19 May 2016
Cited by 12 | Viewed by 6055
Abstract
Autism Spectrum Disorder (ASD) is a group of neurodevelopmental disorders with complex genetic etiology. Recent studies have indicated that children with ASD may have altered folate or methionine metabolism, suggesting that the folate–methionine cycle may play a key role in the etiology of [...] Read more.
Autism Spectrum Disorder (ASD) is a group of neurodevelopmental disorders with complex genetic etiology. Recent studies have indicated that children with ASD may have altered folate or methionine metabolism, suggesting that the folate–methionine cycle may play a key role in the etiology of ASD. SLC19A1, also referred to as reduced folate carrier 1 (RFC1), is a member of the solute carrier group of transporters and is one of the key enzymes in the folate metabolism pathway. Findings from multiple genomic screens suggest the presence of an autism susceptibility locus on chromosome 21q22.3, which includes SLC19A1. Therefore, we performed a case-control study in a Japanese population. In this study, DNA samples obtained from 147 ASD patients at the Kanazawa University Hospital in Japan and 150 unrelated healthy Japanese volunteers were examined by the sequence-specific primer-polymerase chain reaction method pooled with fluorescence correlation spectroscopy. p < 0.05 was considered to represent a statistically significant outcome. Of 13 single nucleotide polymorphisms (SNPs) examined, a significant p-value was obtained for AA genotype of one SNP (rs1023159, OR = 0.39, 95% CI = 0.16–0.91, p = 0.0394; Fisher’s exact test). Despite some conflicting results, our findings supported a role for the polymorphism rs1023159 of the SLC19A1 gene, alone or in combination, as a risk factor for ASD. However, the findings were not consistent after multiple testing corrections. In conclusion, although our results supported a role of the SLC19A1 gene in the etiology of ASD, it was not a significant risk factor for the ASD samples analyzed in this study. Full article
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Figure 1
<p>The genomic structure of <span class="html-italic">SLC19A1</span> (<b>A</b>). Bars, exons. Arrows, positions of single nucleotide polymorphisms (SNPs). Linkage disequilibrium plot of SNPs in the samples studied (<b>B</b>). Numbers in squares indicate <span class="html-italic">D</span>′ values. Reference Number (rs) with asterisk indicates the SNP with <span class="html-italic">p</span> &lt; 0.05. The blocks are defined following the four-gamete rule [<a href="#B22-ijms-17-00772" class="html-bibr">22</a>]. Explanation of color scheme: If <span class="html-italic">D</span>′ &lt; 1 and LOD (log of the likelihood odds ratio) &lt;2, the cell color is white; if <span class="html-italic">D</span>′ = 1 and LOD &lt; 2, the cell color is blue; if <span class="html-italic">D</span>′ &lt; 1 and LOD ≥ 2, the cell color is shades of pink/red; if <span class="html-italic">D</span>′ = 1 and LOD ≥ 2, the cell color is bright red.</p>
Full article ">Figure 1 Cont.
<p>The genomic structure of <span class="html-italic">SLC19A1</span> (<b>A</b>). Bars, exons. Arrows, positions of single nucleotide polymorphisms (SNPs). Linkage disequilibrium plot of SNPs in the samples studied (<b>B</b>). Numbers in squares indicate <span class="html-italic">D</span>′ values. Reference Number (rs) with asterisk indicates the SNP with <span class="html-italic">p</span> &lt; 0.05. The blocks are defined following the four-gamete rule [<a href="#B22-ijms-17-00772" class="html-bibr">22</a>]. Explanation of color scheme: If <span class="html-italic">D</span>′ &lt; 1 and LOD (log of the likelihood odds ratio) &lt;2, the cell color is white; if <span class="html-italic">D</span>′ = 1 and LOD &lt; 2, the cell color is blue; if <span class="html-italic">D</span>′ &lt; 1 and LOD ≥ 2, the cell color is shades of pink/red; if <span class="html-italic">D</span>′ = 1 and LOD ≥ 2, the cell color is bright red.</p>
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14984 KiB  
Article
Downregulation of Runx2 by 1,25-Dihydroxyvitamin D3 Induces the Transdifferentiation of Osteoblasts to Adipocytes
by Jung Ha Kim, Semun Seong, Kabsun Kim, Inyoung Kim, Byung-Chul Jeong and Nacksung Kim
Int. J. Mol. Sci. 2016, 17(5), 770; https://doi.org/10.3390/ijms17050770 - 19 May 2016
Cited by 13 | Viewed by 6517
Abstract
1,25-Dihydroxyvitamin D3 (1,25(OH)2D3) indirectly stimulates bone formation, but little is known about its direct effect on bone formation. In this study, we observed that 1,25(OH)2D3 enhances adipocyte differentiation, but inhibits osteoblast differentiation during osteogenesis. The [...] Read more.
1,25-Dihydroxyvitamin D3 (1,25(OH)2D3) indirectly stimulates bone formation, but little is known about its direct effect on bone formation. In this study, we observed that 1,25(OH)2D3 enhances adipocyte differentiation, but inhibits osteoblast differentiation during osteogenesis. The positive role of 1,25(OH)2D3 in adipocyte differentiation was confirmed when murine osteoblasts were cultured in adipogenic medium. Additionally, 1,25(OH)2D3 enhanced the expression of adipocyte marker genes, but inhibited the expression of osteoblast marker genes in osteoblasts. The inhibition of osteoblast differentiation and promotion of adipocyte differentiation mediated by 1,25(OH)2D3 were compensated by Runx2 overexpression. Our results suggest that 1,25(OH)2D3 induces the transdifferentiation of osteoblasts to adipocytes via Runx2 downregulation in osteoblasts. Full article
(This article belongs to the Section Biochemistry)
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<p>1,25-dihydroxyvitamin D<sub>3</sub> (1,25(OH)<sub>2</sub>D<sub>3</sub>) inhibits osteoblast differentiation. (<b>a</b>–<b>c</b>) Primary osteoblasts were cultured in osteogenic medium (OGM) with vehicle or increasing concentrations of 1,25(OH)<sub>2</sub>D<sub>3</sub>. (<b>a</b>) Cultured cells were fixed and stained with Alizarin red; (<b>b</b>) Alizarin red staining was quantified by densitometry at 562 nm; (<b>c</b>) Primary osteoblasts were cultured in osteogenic medium (OGM) containing either vehicle or 1,25(OH)<sub>2</sub>D<sub>3</sub> (10<sup>−8</sup> M). The mRNA levels of <span class="html-italic">Runx2</span>, alkaline phosphatase (<span class="html-italic">ALP</span>), and bone sialoprotein (<span class="html-italic">BSP</span>) were analyzed by real-time polymerase chain reaction (PCR). # <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 as compared with controls.</p>
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<p>1,25(OH)<sub>2</sub>D<sub>3</sub> induces transdifferentiation of osteoblasts to adipocytes. (<b>a</b>–<b>c</b>) Primary osteoblasts were cultured in osteogenic medium (OGM) with vehicle or increasing concentrations of 1,25(OH)<sub>2</sub>D<sub>3</sub>. (<b>a</b>) Cultured cells were fixed and stained with Oil Red-O, Bar: 50 µm; (<b>b</b>) The number of Oil Red-O—positive cells was counted; (<b>c</b>) Primary osteoblasts were cultured in osteogenic medium (OGM) containing either vehicle or 1,25(OH)<sub>2</sub>D<sub>3</sub> (10<sup>−8</sup> M). The mRNA levels of CCAAT/enhancer binding protein-α (<span class="html-italic">CEBP-α</span>), peroxisome proliferator-activated receptor-γ (<span class="html-italic">PPAR-γ</span>), and adipocyte protein 2 (<span class="html-italic">aP</span>) were analyzed by real-time PCR. # <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 as compared with controls.</p>
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<p>1,25(OH)<sub>2</sub>D<sub>3</sub> induces the transdifferentiation of osteoblasts to adipocytes at the early stage of osteoblast differentiation. (<b>a</b>–<b>c</b>) Primary osteoblasts were cultured in osteogenic medium (OGM). Cells were treated with either vehicle or 1,25(OH)<sub>2</sub>D<sub>3</sub> (10<sup>−8</sup> M) during the indicated time periods. (<b>a</b>) Cultured cells were fixed and stained with Alizarin red or Oil Red-O, Bar: 50 µm; (<b>b</b>) Alizarin red staining was quantified by densitometry at 562 nm; (<b>c</b>) The number of Oil Red-O—positive cells was counted. # <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 as compared with controls.</p>
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<p>1,25(OH)<sub>2</sub>D<sub>3</sub> induces adipocyte differentiation in primary osteoblasts. (<b>a</b>–<b>d</b>) Primary osteoblasts were cultured in adipogenic medium (AGM) containing either vehicle or 1,25(OH)<sub>2</sub>D<sub>3</sub> (10<sup>−8</sup> M). (<b>a</b>) Cultured cells were fixed and stained with Oil Red-O, Bar: 50 µm; (<b>b</b>) The number of Oil Red-O—positive cells was counted; (<b>c</b>) The mRNA levels of <span class="html-italic">Runx2</span>, <span class="html-italic">ALP</span>, and <span class="html-italic">BSP</span> were analyzed by real-time PCR; (<b>d</b>) The mRNA levels of <span class="html-italic">CEBP</span>-α, <span class="html-italic">PPAR</span>-γ, and <span class="html-italic">aP2</span> were analyzed by real-time PCR. # <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 as compared with controls.</p>
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<p>1,25(OH)<sub>2</sub>D<sub>3</sub> induces transdifferentiation of osteoblasts to adipocytes by inhibiting <span class="html-italic">Runx2</span> expression. (<b>a</b>–<b>c</b>) Primary osteoblasts were cultured in osteogenic medium (OGM) with vehicle, 1,25(OH)<sub>2</sub>D<sub>3</sub>, or PPi as indicated. (<b>a</b>) Cultured cells were fixed and stained with Alizarin red or Oil Red-O, Bar: 50 µm; (<b>b</b>) Alizarin red staining was quantified by densitometry at 562 nm; (<b>c</b>) The number of Oil Red-O–positive cells was counted; (<b>d</b>–<b>f</b>) Osteoblasts were transduced with pMX-IRES-<span class="html-italic">EGFP</span> (control) or Runx2 retrovirus. Transduced osteoblasts were cultured in osteogenic medium (OGM) with vehicle or 1,25(OH)<sub>2</sub>D<sub>3</sub>. (<b>d</b>) Cultured cells were fixed and stained with Alizarin red or Oil Red-O, Bar: 50 µm; (<b>e</b>) Alizarin red staining was quantified by densitometry at 562 nm; (<b>f</b>) The number of Oil Red-O—positive cells was counted; (<b>g</b>) C2C12 cells were transfected with a <span class="html-italic">Runx2</span> reporter construct. Transfected cells were treated with vehicle or 1,25(OH)<sub>2</sub>D<sub>3</sub> for 48 h. Luciferase activity was measured using a dual-luciferase reporter assay system. The data represent means and SD of triplicate samples. # <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 as compared with controls.</p>
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2702 KiB  
Article
How Diet Intervention via Modulation of DNA Damage Response through MicroRNAs May Have an Effect on Cancer Prevention and Aging, an in Silico Study
by Felicia Carotenuto, Maria C. Albertini, Dario Coletti, Alessandra Vilmercati, Luigi Campanella, Zbigniew Darzynkiewicz and Laura Teodori
Int. J. Mol. Sci. 2016, 17(5), 752; https://doi.org/10.3390/ijms17050752 - 19 May 2016
Cited by 18 | Viewed by 6460
Abstract
The DNA damage response (DDR) is a molecular mechanism that cells have evolved to sense DNA damage (DD) to promote DNA repair, or to lead to apoptosis, or cellular senescence if the damage is too extensive. Recent evidence indicates that microRNAs (miRs) play [...] Read more.
The DNA damage response (DDR) is a molecular mechanism that cells have evolved to sense DNA damage (DD) to promote DNA repair, or to lead to apoptosis, or cellular senescence if the damage is too extensive. Recent evidence indicates that microRNAs (miRs) play a critical role in the regulation of DDR. Dietary bioactive compounds through miRs may affect activity of numerous genes. Among the most studied bioactive compounds modulating expression of miRs are epi-gallocatechin-3-gallate, curcumin, resveratrol and n3-polyunsaturated fatty acids. To compare the impact of these dietary compounds on DD/DDR network modulation, we performed a literature search and an in silico analysis by the DIANA-mirPathv3 software. The in silico analysis allowed us to identify pathways shared by different miRs involved in DD/DDR vis-à-vis the specific compounds. The results demonstrate that certain miRs (e.g., -146, -21) play a central role in the interplay among DD/DDR and the bioactive compounds. Furthermore, some specific pathways, such as “fatty acids biosynthesis/metabolism”, “extracellular matrix-receptor interaction” and “signaling regulating the pluripotency of stem cells”, appear to be targeted by most miRs affected by the studied compounds. Since DD/DDR and these pathways are strongly related to aging and carcinogenesis, the present in silico results of our study suggest that monitoring the induction of specific miRs may provide the means to assess the antiaging and chemopreventive properties of particular dietary compounds. Full article
(This article belongs to the Special Issue DNA Damage and Repair in Degenerative Diseases 2016)
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<p>Venn diagram showing the microRNAs involved in DD/DDR (ellipse, grey) and identified as modulated by bioactive compounds: EGCG (epi-gallocatechin-3-gallate; green), CRC (curcumin; blue), RSV (resveratrol; pink) and n3-PUFAs (n3-polyunsaturated fatty acids, yellow). The common miRNAs, modulated by all four compounds, are indicated in red (miR-16, miR-25, miR-21, miR-181a, miR-146b, miR-34a).</p>
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<p>Binary heat map of pathways related to the common microRNAs involved in DDR signaling and modulated by all of the compounds: EGCG, CRC, RSV, n3-PUFAs. In this plot, heat map calculation is based on binary <span class="html-italic">p</span>-values (0: not targeted, 1: targeted); all significantly targeted pathways are marked with deep red. The plot shows miRNAs targeting similar pathways and pathways being targeted by miRNAs.</p>
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<p>MicroRNAs involved in DDR and modulated by EGCG <span class="html-italic">versus</span> the pathways’ heat map. In this plot, heat map calculation is based on absolute <span class="html-italic">p</span>-values. Darker colors represent lower <span class="html-italic">p</span>-values (higher significance). The plot shows miRNAs targeting similar pathway clusters and pathways being targeted by miRNA groups.</p>
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<p>MicroRNAs involved in DDR and modulated by CRC <span class="html-italic">versus</span> the pathways’ heat map. In this plot, heat map calculation is based on absolute <span class="html-italic">p</span>-values. Darker colors represent lower <span class="html-italic">p</span>-values (higher significance). The plot shows microRNAs targeting similar pathway clusters and pathways being targeted by miRNA groups.</p>
Full article ">Figure 5
<p>MicroRNAs involved in DDR and modulated by RSV <span class="html-italic">versus</span> the pathways’ heat map. In this plot, heat map calculation is based on absolute <span class="html-italic">p</span>-values. Darker colors represent lower <span class="html-italic">p</span>-values (higher significance). The plot shows microRNAs targeting similar pathway clusters and pathways being targeted by miRNA groups.</p>
Full article ">Figure 6
<p>MicroRNAs involved in DDR and modulated by n3-PUFAs <span class="html-italic">versus</span> the pathways’ heat map. In this plot, heat map calculation is based on absolute <span class="html-italic">p</span>-values. Darker colors represent lower <span class="html-italic">p</span>-values (higher significance). The plot shows miRNAs targeting similar pathway clusters and pathways being targeted by miRNA groups.</p>
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