ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2018
Identification of key gene pathways and coexpression networks of islets in human type 2 diabetes.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 14 citations in OpenAlex.
- Organelle-specific crosstalk between calcium and redox signaling in pancreatic β-cells in physiology and type 2 diabetes.Frontiers in network physiology · 2026Review
- In-silico discovery of type-2 diabetes-causing host key genes that are associated with the complexity of monkeypox and repurposing common drugs.Briefings in bioinformatics · 2025Article
- Identification of molecular pathways and protein-protein interactions in adipose tissue-derived mesenchymal stromal cells (ASCs) under physiological oxygen concentration in a diabetic rat model.Iranian journal of basic medical sciences · 2022Article
- Multiomics Integrated Analysis IdentifiesJournal of diabetes research · 2022Article
- Identification of Potential Candidate Genes From Co-Expression Module Analysis During Preadipocyte Differentiation in Landrace Pig.Frontiers in genetics · 2021Article
- Divergent genes in gerbils: prevalence, relation to GC-biased substitution, and phenotypic relevance.BMC evolutionary biology · 2020Article
- Probiotic mediated NF-κB regulation for prospective management of type 2 diabetes.Molecular biology reports · 2020Review
- Bioinformatics analysis of hepatic gene expression profiles in type 2 diabetes mellitus.Experimental and therapeutic medicine · 2019Article
- Key genes and co-expression network analysis in the livers of type 2 diabetes patients.Journal of diabetes investigation · 2019Article
- Identification of dynamic molecular networks in peripheral blood mononuclear cells in type 1 diabetes mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019Article
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5 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
purposeThe number of people with type 2 diabetes (T2D) is growing rapidly worldwide. Islet β-cell dysfunction and failure are the main causes of T2D pathological processes. The aim of this study was to elucidate the underlying pathways and coexpression networks in T2D islets. MATERIALS AND
methodsWe analyzed the differentially expressed genes (DEGs) in the data set GSE41762, which contained 57 nondiabetic and 20 diabetic samples, and developed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Protein-protein interaction (PPI) network, the modules from the PPI network, and the gene annotation enrichment of modules were analyzed as well. Moreover, a weighted correlation network analysis (WGCNA) was applied to screen critical gene modules and coexpression networks and explore the biological significance.
resultsWe filtered 957 DEGs in T2D islets. Then GO and KEGG analyses identified that key pathways like inflammatory response, type B pancreatic cell differentiation, and calcium ion-dependent exocytosis were involved in human T2D. Three significant modules were filtered from the PPI network. Ribosome biogenesis, extrinsic apoptotic signaling pathway, and membrane depolarization during action potential were associated with the modules, respectively. Furthermore, coexpression network analysis by WGCNA identified 13 distinct gene modules of T2D islets and revealed four modules, which were strongly correlated with T2D and T2D biomarker hemoglobin A1c (HbA1c). Functional annotation showed that these modules mainly enriched KEGG pathways such as NF-kappa B signaling pathway, tumor necrosis factor signaling pathway, cyclic adenosine monophosphate signaling pathway, and peroxisome proliferators-activated receptor signaling pathway.
conclusionThe results provide potential gene pathways and underlying molecular mechanisms for the prevention, diagnosis, and treatment of T2D.
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