Diagnostic and Prognostic Value of miR-451 Expression in Colorectal Cancer: A Meta-Analysis.

BACKGROUND: The miR-451 has been reported to play an important role in colorectal cancer (CRC) pathogenesis and can be a pivotal diagnosis biomarker of CRC. Given the contradictions in the diagnosis value of the miR-451 in patients with CRC, deciphering the diagnostic/prognostic role of this miRNA in CRC will support the identification of a novel therapeutic target for CRC. Therefore, in the present meta-analysis, we evaluated the diagnostic value of miR-451 in CRC patients. MATERIALS AND METHODS: The electronic databases of Embase, PubMed, ISI Web of Science, and Scopus systematically searched for relevant studies. The odds ratio (OR) with a 95% confidence interval (CI) was calculated to evaluate the association between miR-451 family expression and diagnosis of colorectal cancer. The parameters including sensitivity, specificity, and area under the curve (AUC) were obtained. The quality of evidence was evaluated using the Newcastle-Ottava Scale (NOS). RESULTS: This study involved 510 patients (45% female and 55% male) with CRC. The pooled analysis of the studies showed a significant association between low expression levels of miR-451 in patients with CRC (OR = 7.59; 95% CI 2.39 - 24.07; p = 0.001). The overall sensitivity and specificity were 0.95 (0.61 - 1) and 0.83 (0.43 - 0.99), respectively. The pooled AUC was 0.97 (0.88 - 1; p < 0.006). Results showed if the pre-test probability is 50% for a patient, the post-test probability will be 85%. The indices demonstrated the high potency of miR-451 as a diagnostic biomarker in patients with CRC. No publication bias was observed using the Begg's (p=0.85) and Egger's tests (p=0.45). CONCLUSION: A strong relationship between the low expression levels of miR-451 and CRC progression was observed. This finding suggests the miR-451 family may be helpful as a potential biomarker for the earlier diagnosis of colorectal cancer.

Potential role of resveratrol in prevention and therapy of diabetic complications: a critical review.

Background: Diabetes mellitus (DM) is a category of metabolic conditions affecting about 5% of people worldwide. High mortality associated with DM is mostly due to its severe clinical complications, including diabetic nephropathy, retinopathy, neuropathy, and cardiomyopathy. Resveratrol (RSV) is a natural, biologically active polyphenol known to have various health-promoting effects in animal models and humans. Objective: In this review, we have reviewed the preventive and therapeutic role of RSV on diabetes complications with emphasis on its molecular mechanisms of action. Methods: To prepare this review, all the basic and clinical available literatures regarding this topic were gathered through electronic databases, including PubMed, Web of Science, Scopus, and Google Scholar. Therefore, we summarized previous studies that have evaluated the effects of RSV on diabetic complications and their mechanisms. Only English language studies published up to January 2023 were included in this review. Results: RSV improves glucose homeostasis, decreases insulin resistance, induces autophagy, regulates lipid metabolism, protects pancreatic ß-cells, ameliorates metabolic disorders, and increases the GLUT4 expression. These effects induced by RSV are strongly associated with ability of this polyphenol agent to elevation expression/activity of AMP-activated protein kinase and Sirtuin 1 in various organs of diabetic subjects, which leads to prevention and therapy of diabetic complications. In addition, antioxidant and anti-inflammatory properties of RSV were reported to be involved in its action in diabetic complications, such as retinopathy and nephropathy. Conclusion: RSV is a promising compound for improving diabetic complications. However, the exact antidiabetic mechanisms of RSV need to be further investigated.

Comprehensive Analysis of the Expression, Prognosis, and Immune Infiltrates for Chromodomain-Helicase-DNA-Binding Proteins in Breast Tumor.

BACKGROUND: Several recent studies suggest that chromodomain-helicase -DNA-binding domains (CHDs) are linked with cancers. We explored the association between chromodomain-Helicase-DNA-binding domain proteins and breast cancer (BrCa) and introduced potential prognostic markers using various databases. MATERIALS AND METHODS: We analyzed the expression of the CHD family and their prognostic value in BrCa by mining UALCAN, TIMER, and Kaplan-Meier plotter databases. The association of CHD expression and immune infiltrating abundance was studied via the TIMER database. In addition, microRNAs related to the CHD family were identified by using the MirTarBase online database. RESULTS: The present study indicated that compared to normal tissues, BrCa tissues showed increased mRNA levels of CHD3/4/7 but decreased CHD2/5/9 expression. Interestingly, We also found a positive correlation between CHD gene expression and the infiltration of macrophage, neutrophil, and dendritic cells in BrCa, except CHD3/5. The Kaplan-Meier Plotter analysis suggested that high expression levels of CHD1/2/3/4/6/8/9 were significantly related to shorter relapse-free survival (RFS), while higher mRNA expression of CHD1, CHD2, CHD8, and CHD9 was significantly associated with longer overall survival of BrCa patients. The miRNAs of hsa-miR-615-3p and hsa-let-7b-5p were identified as being more correlated with the CHD family. CONCLUSION: The altered expression of some CHD members was significantly related to clinical cancer outcomes, and CHD1/2/8/9 could serve as potential prognostic biomarkers to improve the survival of BrCa patients. However, to evaluate the studied CHD members in detail are needed further investigations including experimental validation.

Screening the critical protein subnetwork to delineate potential mechanisms and protective agents associated with arsenic-induced cutaneous squamous cell carcinoma: A toxicogenomic study.

Recent studies show that complex mechanisms are involved in arsenic-induced malignant transformation of cells. This study aimed to decipher molecular mechanisms associated with arsenic-induced cutaneous squamous cell carcinoma (cSCC) and suggest potential protective factors. RNA-seq-based differentially expressed genes between arsenic-exposed human keratinocytes (HaCaT) and controls were used to construct a protein-protein interaction (PPI) network and discover critical subnetwork-based mechanisms. Protective compounds against arsenic toxicity were determined and their target interactions in the core sub-network were identified by the comparative toxicogenomic database (CTD). The binding affinity between the effective factor and target was calculated by molecular docking. A total of 15 key proteins were screened out as critical arsenic-responsive subnetwork (FN1, IL-1A, CCN2, PECAM1, FGF5, EDN1, FGF1, PXDN, DNAJB9, XBP1, ERN1, PDIA4, DNAJB11, FOS, PDIA6) and 7 effective protective agents were identified (folic acid, quercetin, zinc, acetylcysteine, methionine, catechin, selenium). The GeneMANIA predicted detailed interactions of the subnetwork and revealed terms related to unfolded protein response as the main processes. FN1, IL1A and CCN2, as top significant genes, had good docking affinity with folic acid and quercetin, as selected key compounds. Integration of gene expression and protein-protein interaction related to arsenic exposure in cSCC explored the potential mechanisms and protective agents.

Metabolomic study of serum in patients with invasive ductal breast carcinoma with LC-MS/MS approach.

BACKGROUND: Invasive ductal carcinoma (IDC) is the most common type of breast cancer so its early detection can lead to a significant decrease in mortality rate. However, prognostic factors for IDC are not adequate and we need novel markers for the treatment of different individuals. Although positron emission tomography and magnetic resonance imaging techniques are available, they are based on morphological features that do not provide any clue for molecular events accompanying cancer progression. In recent years, "omics" approaches have been extensively developed to propose novel molecular signatures of cancers as putative biomarkers, especially in biofluids. Therefore, a mass spectrometry-based metabolomics investigation was performed to find some putative metabolite markers of IDC and potential metabolites with prognostic value related to the estrogen receptor, progesterone receptor, lymphovascular invasion, and human epidermal growth factor receptor 2. METHODS: An untargeted metabolomics study of IDC patients was performed by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). The multivariate principal component analysis by XCMS online built a model that could separate the study groups and define the significantly altered m/z parameters. The most important biological pathways were also identified by pathway enrichment analysis. RESULTS: The results showed that the significantly altered metabolites in IDC serum samples mostly belonged to amino acids and lipids. The most important involved pathways included arginine and proline metabolism, glycerophospholipid metabolism, and phenylalanine, tyrosine, and tryptophan biosynthesis. CONCLUSIONS: Significantly altered metabolites in IDC serum samples compared to healthy controls could lead to the development of metabolite-based potential biomarkers after confirmation with other methods and in large cohorts.

Metformin reduces lipid accumulation in HepG2 cells via downregulation of miR-33b.

INTRODUCTION: Here, we aimed to investigate whether the beneficial effects of metformin on lipid accumulation is mediated through regulation of miR-33b. METHODS: The expression of the genes and miRNAs and protein levels were evaluated using real-time PCR and western blot, respectively. To investigate the potential role of miR-33b in lipid accumulation, the mimic of the miR-33b was transfected into HepG2 cells. RESULTS: We found that metformin reduces high glucose-induced lipid accumulation in HepG2 cells through inhibiting of SREBP1c and FAS and increasing the expression of CPT1 and CROT. Overexpression of miR-33b significantly prevented the decreasing effect of metformin on lipid content and intra and extra triglyceride levels. Importantly, miR-33b mimic inhibited the increasing effects of metformin on the expression of CPT1 and CROT. CONCLUSION: These findings suggest that metformin attenuates high glucose-induced lipid accumulation in HepG2 cell by downregulating the expression of miR-33b.

Evaluating the effect of a mixture of two main conjugated linoleic acid isomers on hepatic steatosis in HepG2 cellular model.

Hepatic steatosis is an early form of non-alcoholic fatty liver disease (NAFLD), caused by abnormal fat deposition in the hepatocytes. Conjugated linoleic acid (CLA) is a group of positional and geometric dienoic isomers of linoleic acid that attract significant attention because of its beneficial effects on chronic diseases such as cancer, obesity, and metabolic syndrome. This study examined the influence of a mixture of two main CLA isomers (CLA-mix) on lipid accumulation and lipid metabolism-related genes using HepG2 cells treated with palmitic acid (PA) as an in vitro model for hepatic steatosis. Methods and Results: HepG2 cells were treated for 24 h: control (BSA), model (BSA + PA), and treated groups (BSA-PA + non-toxic concentrations of CLA-mix). Intracellular lipid deposition, triglyceride (TG), total cholesterol (TC) and gene expression were measured by Oil-Red O staining, colorimetric assay kits and real-time PCR, respectively. CLA-mix at high concentrations had significantly decreased intracellular total lipid and TG deposition compared to the model group. However, none of the CLA-mix concentrations had a significant effect on the intracellular TC level. CLA-mix significantly increased the expression of some genes mainly regulated by PPARα but did not alter the expression of lipogenesis-related genes. Conclusions: These results demonstrate that high concentrations of CLA-mix protect against hepatic steatosis and play a role in regulating fatty acid oxidation and bile excretion through the PPARα pathway. It is suggested that the effect of different ratios of two main CLA isomers on the amount and ratio of bile compounds be investigated in future studies.

Effect of garlic intake on inflammatory mediators: a systematic review and meta-analysis of randomised controlled trials.

BACKGROUND: Garlic is a species in the onion genus, Allium. Data have shown that garlic has anti-inflammatory activity; however, the findings are inconclusive and inconsistent. We aimed to evaluate the impact of garlic intake on inflammatory mediators through systematic review and meta-analysis of existing data. METHODS: Electronic databases were completely investigated using databases of ISI Web of Science, Medline, Scopus, Cochrane Library and EMBASE until October 2019. A random effects model and the generic reverse variance procedure were used for quantitative data production. Sensitivity analyses and prespecified subgroup were done to evaluate potential heterogeneity. Random effect meta-regression was conducted to investigate the effects of possible confounders on the assessed effect size. RESULTS: Ten trials with one observational study, including 530 participants, met the eligibility criteria. The findings showed reduction in the tumour necrosis factor alpha (TNF-α) (-0.31 pg/mL, 95% CI -1.07 to 0.46) and C reactive protein (CRP) levels (-0.20 mg/L, 95% CI -1.4 to 1.05) following supplementation with garlic, although it had no marked impact on the interleukin 6 (IL-6) level (0.37 pg/mL, 95% CI -0.58 to 1.33). In the subgroup analysis, we found that garlic supplementation significantly decreased TNF-α, highly sensitive CRP and IL-6 levels in subgroups of >8, >6 and ≥4 weeks of intervention duration, respectively, and dose of garlic consumption between 2 and 2.4 g/day. CONCLUSION: These findings suggested that current evidence may support garlic as an adjunct to pharmacological management of metabolic diseases. PROSPERO REGISTRATION NUMBER: CRD42018108816.

Prognostic value of microRNA-125a/b family in patients with gastric cancer: a meta-analysis.

AIM: This meta-analysis was designed to reassess the prognostic and clinicopathologic values of the microRNA-125 family in GC patients. BACKGROUND: The miR-125 family (including miR-125a, miR-125b) has been reported as being pivotal prognostic biomarkers of gastric cancer (GC). However, there is controversy about the role of the miR-125 family in predicting the progression of GC. METHODS: The miR-125 family (including miR-125a, miR-125b) has been reported as being pivotal prognostic biomarkers of gastric cancer (GC). However, there is controversy about the role of the miR-125 family in predicting the progression of GC. RESULTS: The electronic databases of PubMed, ISI Web of Science, Scopus, and Cochrane Library were systematically searched for relevant studies. Overall survival (OS) rate as the primary outcome from each study was extracted. The overall hazard ratio (HR or survival rate in patients with GC) and odds ratio (OR) with 95% confidence interval (CI) was calculated to evaluate the association between miR-125 family expression and prognosis and susceptibility to gastric cancer. The quality of evidence was evaluated using the Newcastle-Ottava Scale (NOS). The extracted data was combined based on the random-effects model. CONCLUSION: The low expression of miR-125 family predicts poor OS in GC patients. Thus, the miR-125 family may be helpful as a potential biomarker for the prognosis of gastric cancer.

Circulating levels of CTRP3 in patients with type 2 diabetes mellitus compared to controls: A systematic review and meta-analysis.

Growing evidence suggests that adipokines may be therapeutic targets for cardiometabolic diseases such as type 2 diabetes mellitus (T2DM). C1q TNF Related Protein 3 (CTRP3) is a newly discovered adipokine which shares properties with adiponectin. The literature about the association between circulating levels of CTRP3 and T2DM has been conflicting. The present study reassessed the data on circulating CTRP3 levels in T2DM patients compared to controls through a systematic review and meta-analysis. A literature search was performed in Medline, Embase, Scopus, and Web of science to identify studies that measured circulating CTRP3 levels in T2DM patients and controls. The search identified 124 studies of which 59 were screened for title and abstract and 13 were subsequently screened at the full text stage and 12 studies included into the meta-analysis. Subgroup analyses, depending on the presence of T2DM complications, matching for BMI, age, and cut off value of fasting blood sugar and HOMA-IR, were performed. The results show that circulating CTRP3 levels are negatively associated with T2DM status (SMD: -0.837; 95% CI: (-1.656 to -0.017); p = 0.045). No publication bias was identified using the Begg's rank correlation and Egger's linear regression tests (P = 1 and P = 0.44, respectively). Meta-regression demonstrated significant association between CRTP3 levels with BMI (slope: 0.11; 95% CI: 0.04-0.19; p = 0.001) and sex (slope: -0.07; 95% CI: -0.12 to -0.01; p = 0.008). The present systematic review and meta-analysis evidences a negative association between circulating level of CTRP3 and T2DM status. BMI and sex may modify this association.

Integrated Bioinformatics Analysis of mRNAs and miRNAs Identified Potential Biomarkers of Oral Squamous Cell Carcinoma.

Background: Oral cancer is a frequently encountered neoplasm of the head and neck region, being the eighth most common type of human malignancy worldwide. Despite improvement in its control, morbidity and mortality, rates have improved little in the past decades. The present investigations about gene interaction and pathways still could not clear the appearance and development of oral squamous cell carcinoma (OSCC), completely. The aim of this study is to investigate the key genes and microRNAs interaction in OSCC. Materials and Methods: The microarray datasets GSE13601 and GSE98463, including mRNA and miRNA profiles, were extracted from the GEO database and were analyzed using GEO2R. Functional and pathway enrichment analyses were performed by using the DAVID database. The protein-protein interaction (PPI) network was constructed and analyzed using STRING database and Cytoscape software, respectively. Finally, miRDB was applied to predict the targets of the differentially expressed miRNAs (DEMs). Results: Totally, 97 differentially expressed genes (DEGs) were found in OSCC, including 66 up-regulated and 31 down-regulated genes. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses showed that up-regulated genes were significantly enriched in movement of cell or subcellular component, cell adhesion, biological adhesion, cellular localization, apoptotic signaling pathway, while the downregulated genes were enriched in muscle system process and oxidation-reduction process. From the PPI network, the top 10 nodes with the highest degree were detected as hub genes. In addition, 18 DEMs were screened, which included 7 up-regulated and 11 down-regulated miRNAs. STAT1 was potentially targeted by three miRNAs, including has-miR- 6825-5P, has-miR-4495, and has-miR-5580-3P. Conclusion: The roles of DEMs such as hsa-mir-5580-3p in OSCC through interactions with DEGs CD44, ACLY, ACTR3, STAT1, LAMC2 and YWHAZ may offer a suitable candidate biomarker pattern for diagnosis, prognosis and treatment processes in OSCC.

Inhibiting miR-27a and miR-142-5p attenuate nonalcoholic fatty liver disease by regulating Nrf2 signaling pathway.

The gene Nrf2 (nuclear factor-erythroid 2-related factor 2) is the most important regulator of the cellular antioxidant system and its dysregulation has a role in the etiology of nonalcoholic fatty liver disease (NAFLD). The aim of this study was to investigate the association between Nrf2 targeted miRNAs (miR-27a, miR-142-5p, miR-153, and miR-128) with lipid accumulation in vitro and in vivo models of NAFLD. We used two in vivo and in vitro models of NAFLD. The expression of the genes and miRNAs was assessed by real-time PCR and the protein level was evaluated using western blot. To investigate the potential role of miRNAs in NAFLD, the inhibitors or mimics of the miR-27a and miR-142-5p were transfected into HepG2 cells. The mRNA and protein levels of Nrf2 were significantly decreased in the liver of high fat diet-fed mice as well as in HepG2 cells treated with high glucose (HG). Reduced expression of Nrf2 was associated with increased expression levels of miR-27a and miR-142-5p in both models of NAFLD. HG-induced triglyceride accumulation was attenuated by inhibition of miR-27a or miR-142-5p in HepG2 cells. Overexpression of miR-27a or miR-142-5p suppressed the expression of Nrf2 and its downstream antioxidant genes and increased production of reactive oxygen species, whereas inhibition of miR-27a or miR-142-5p reversed these effects. In conclusion, the data of this study may suggest that miR-27a and miR-142-5p are increased in NAFLD, where they suppress Nrf2 expression and contribute to the accumulation of lipids in the hepatocytes.

Resveratrol alleviates non-alcoholic fatty liver disease through epigenetic modification of the Nrf2 signaling pathway.

Recent findings have demonstrated the aberrant DNA methylation of the Nrf2-Keap1 genes in human cancers; however, the epigenetic control of this pathway in non-alcoholic fatty liver disease (NAFLD) is unknown. Resveratrol can modify epigenetic mechanisms. Our objectives in this study were to explore the correlation between promoter methylation of the Nrf2-Keap1 genes and NAFLD, and that investigate the effect of resveratrol on the epigenetic regulation Nrf2-Keap1 in vitro and in vivo models of NAFLD. Resveratrol attenuated high fat-diet (HFD)-induced methylation of the Nrf2 promoter in the liver of mice, and this effect was correlated with reduction in triglyceride level and decrease in the expression of lipogenesis-related genes such as FAS and SREBP-1c. In addition, treatment of HepG2 cells with high glucose (HG) enhanced methylation level of the Nrf2 promoter, whereas resveratrol reversed this effect. Treatment of the cells with resveratrol or 5-aza, a demethylating agent, could prevent HG-induced reactive oxygen species production and expression of Nrf2-controlled antioxidant genes. Moreover, resveratrol or 5-aza could significantly attenuate HG-induced triglyceride accumulation in HepG2 cells. These findings indicate that resveratrol attenuates NAFLD through the epigenetic modification the Nrf2 signaling.

Therapeutic effect of resveratrol supplementation on oxidative stress: a systematic review and meta-analysis of randomised controlled trials.

BACKGROUND: Resveratrol is a naturally occurring polyphenol compound mainly found in grapes and red wine. The evidence has suggested that resveratrol has an antioxidant effect. However, the results are inconsistent and inconclusive. Thus, we conducted a systematic review and meta-analysis to evaluate the effect of resveratrol supplementation on markers of oxidative stress. METHODS: We searched PubMed, ISI Web of Science, EMBASE, Scopus and the Cochrane library up to December 2018 to identify randomised controlled trials (RCTs) assessing resveratrol supplementation effects on oxidative markers. Heterogeneity, publication bias, risk of bias and subgroup analysis were analysed. This meta-analysis was conducted in accordance with the guidelines of the Preferred ReportingItems for Systematic Reviews and Meta-Analysis (PRISMA). RESULTS: Meta-analysis of data from 12 RCTs did not support significant effect of resveratrol supplementation on circulating levels of superoxide dismutase (SOD) (standardized mean difference (SMD) (1.12), (95% CI -0.91 to 3.1), p=0.28), catalase (CAT) (SMD (-0.07), (95% CI -1.4 to 1.3), p=0.92) and glutathione peroxidase (GPx) (SMD (-0.76), (95% CI -2.56 to 1.04), p=0.40). Although, resveratrol supplementation increased significantly circulating total antioxidant capacity (TAC) concentrations (SMD (0.52), (95% CI -0.02 to 1.07), p=0.05). Severe heterogeneity was observed between studies, and no obvious publication bias was observed in included RCTs. CONCLUSION: Collectively, our findings of available RCTs did no show any benefit of resveratrol supplementation on SOD, CAT and GPx except for TAC. Well-designed RCTs are necessary to confirm these results.

Proteomics Applications in Health: Biomarker and Drug Discovery and Food Industry.

Advancing in genome sequencing has greatly propelled the understanding of the living world; however, it is insufficient for full description of a biological system. Focusing on proteomics has emerged as another large-scale platform for improving the understanding of biology. Proteomic experiments can be used for different aspects of clinical and health sciences such as food technology, biomarker discovery and drug target identification. Since proteins are main constituents of foods, proteomic technology can monitor and characterize protein content of foods and their change during production process. The proteomic biomarker discovery is advanced in various diseases such as cancer, cardiovascular diseases, AIDS, and renal diseases which provide non-invasive methods by the use of body fluids such as urine and serum. Proteomics is also used in drug target identification using different approaches such as chemical proteomics and protein interaction networks. The development and application of proteomics has increased tremendously over the last decade. Advances in proteomics methods offer many promising new directions of studying in clinical fields. In this regard, we want to discuss proteomics technology application in food investigations, drug, and biomarker discovery.

Resveratrol: A miraculous natural compound for diseases treatment.

Resveratrol (3, 5, 4'-trihydroxystilbene) is a nonflavonoid polyphenol that naturally occurs as phytoalexin. It is produced by plant sources such as grapes, apples, blueberries, plums, and peanut. This compound has critical roles in human health and is well known for its diverse biological activities such as antioxidant and anti-inflammatory properties. Nowadays, due to rising incidence of different diseases such as cancer and diabetes, efforts to find novel and effective disease-protective agents have led to the identification of plant-derived compounds such as resveratrol. Furthermore, several in vitro and in vivo studies have revealed the effectiveness of resveratrol in various diseases such as diabetes mellitus, cardiovascular disease, metabolic syndrome, obesity, inflammatory, neurodegenerative, and age-related diseases. This review presents an overview of currently available studies on preventive properties and essential molecular mechanisms involved in various diseases.

Effect of Resveratrol Supplementation on Inflammatory Markers: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

PURPOSE: The evidence has suggested that resveratrol has anti-inflammatory effect; however, the results are inconsistent and inconclusive. The aim of this study was to assess the effect of resveratrol supplementation on the levels of inflammatory markers through a systematic review and meta-analysis of available randomized controlled trials (RCTs). METHODS: A search strategy was completed using Medline, ISI Web of Science, Directory of Open Access Journal, SID, ProQuest, Cochrane Library, Scopus, and EMBASE up to May 2017, to identify placebo-controlled RCTs that assessed resveratrol effects on circulating (serum and plasma) inflammatory markers (interleukin [IL]-6, tumor necrosis factor-α [TNF-α], and high-sensitivity C-reactive protein [hs-CRP]) among adult participants aged 17 years and older in 17 RCTs with a total of 736 subjects. The evaluation of study quality was performed using the Jadad scale. Weighted mean difference (WMD) was calculated for evaluating the changes in the inflammatory markers using fixed-effects or random-effects models. We performed subgroup and sensitivity analyses to evaluate the heterogeneity of the studies. FINDINGS: Seventeen RCTs, including 736 subjects, fulfilled the eligibility criteria and were selected for analyses. The results of meta-analysis found significant reductions in the level of TNF-α (WMD, -0.44; 95% CI, -0.71 to -0.164; P = 0.002; Q statistic = 21.60; I2 = 49.1%; P = 0.02) and hs-CRP (WMD, -0.27; 95% CI, -0.5 to -0.02; P = 0.033; Q statistic = 26.95; I2 = 51.8%; P = 0.013) after supplementation with resveratrol. Resveratrol supplementation had no significant effect on the level of IL-6 (WMD, -0.16; 95% CI, -0.53 to 0.20; P = 0.38; Q statistic = 36.0; I2 = 72.3%; P = 0.001). Statistically significant heterogeneity was observed for the type of sample in IL-6 and study duration in inflammatory markers IL-6, TNF-α, and hs-CRP. IMPLICATIONS: Available evidence from RCTs suggests that resveratrol supplementation significantly reduced TNF-α and hs-CRP levels. Significant improvement in inflammatory markers support resveratrol as an adjunct to pharmacologic management of metabolic diseases.

Protein-Protein Interaction Network Analysis of Salivary Proteomic Data in Oral Cancer Cases

Background: Oral cancer is a frequently encountered neoplasm of the head and neck region, being the eight most common type of human malignancy worldwide. Despite improvement in its control, morbidity and mortality rates have improved little in the past decades. Therefore, prevention and/or early detection are a high priority. Proteomics with network analysis have emerged as a powerful tool to identify important proteins associated with cancer development and progression that can be potential targets for early diagnosis. In the present study, network- based protein- protein interactions (PPI) for oral cancer were identified and then analyzed for use as key proteins/potential biomarkers. Material and Methods: Gene expression data in articles which focused on saliva proteomics of oral cancer were collected and 74 candidate genes or proteins were extracted. Related protein networks of differentially expressed proteins were explored and visualized using cytoscape software. Further PPI analysis was performed by Molecular Complex Detection (MCODE) and BiNGO methods. Results: Network analysis of genes/proteins related to oral cancer identified kininogen-1, angiotensinogen, annexin A1, IL-8, IgG heavy variable and constant chains, CRP, collagen alpha-1 and fibronectin as 9 hub-bottleneck proteins. In addition, based on clustering with the MCODE tool, vitronectin, collagen alpha-2, IL-8 and integrin alpha-v were established as 5 distinct seed proteins. Conclusion: A hub-bottleneck protein panel may offer a potential /candidate biomarker pattern for diagnosis and treatment of oral cancer disease. Further investigation and validation of these proteins are warranted.