ArticleJournal of diabetes investigation2019
Key genes and co-expression network analysis in the livers of type 2 diabetes patients.
Article in Journal of diabetes investigation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 27 citations in OpenAlex.
- Single-cell RNA sequencing reveals the dysfunctional characteristics of PBMCs in patients with type 2 diabetes mellitus.Frontiers in immunology · 2024Trial
- Discovering Heterogeneous Leukocytes Subsets Associated With Alcoholic Steatohepatitis by scRNAseq Analysis.MedComm · 2025Article
- Integrated bulk and single-cell transcriptomics identify RELB, S100A9, and SOCS1 as key autophagy-endoplasmic reticulum stress genes linking T2DM with MAFLD.Scientific reports · 2025Article
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- Sex-specific epigenetics drive low GPER expression in gastrointestinal smooth muscles in type 2 diabetic mice.Scientific reports · 2024Article
- Sex differences in multilayer functional network topology over the course of aging in 37543 UK Biobank participants.Network neuroscience (Cambridge, Mass.) · 2023Article
- Comparative G-Protein-Coupled Estrogen Receptor (GPER) Systems in Diabetic and Cancer Conditions: A Review.Molecules (Basel, Switzerland) · 2022Review
- Identification of key genes and pathways in mild and severe nonalcoholic fatty liver disease by integrative analysis.Chronic diseases and translational medicine · 2021Article
- Novel susceptibility loci identified in a genome-wide association study of type 2 diabetes complications in population of Latvia.BMC medical genomics · 2021Article
- qPCR Analysis Reveals Association of Differential Expression ofFrontiers in endocrinology · 2021Article
- Multi-Omics Comparison of the Spontaneous Diabetes Mellitus and Diet-Induced Prediabetic Macaque Models.Frontiers in pharmacology · 2021Article
- Article
- Circulating miRNAs as a Predictive Biomarker of the Progression from Prediabetes to Diabetes: Outcomes of a 5-Year Prospective Observational Study.Journal of clinical medicine · 2020Article
- Regulatory Master Genes Identification and Drug Repositioning by Integrative mRNA-miRNA Network Analysis for Acute Type A Aortic Dissection.Frontiers in pharmacology · 2020Article
- Investigation of the underlying hub genes and mechanisms of reperfusion injury in patients undergoing coronary artery bypass graft surgery by integrated bioinformatic analyses.Annals of translational medicine · 2019Article
- Key genes and co-expression network analysis in the livers of type 2 diabetes patients.Journal of diabetes investigation · 2019Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
AIMS/
introductionThe incidence of type 2 diabetes is increasing worldwide. Hepatic insulin resistance and liver lipid accumulation contributes to type 2 diabetes development. The aim of the present study was to investigate the key gene pathways and co-expression networks in the livers of type 2 diabetes patients. MATERIALS AND
methodsDataset GSE15653 containing nine healthy individuals and nine type 2 diabetes patients was downloaded from the National Center for Biotechnology Information Gene Expression Omnibus database. Differentially expressed genes were obtained from the livers of type 2 diabetes patients, annotated pathway enrichment and protein-protein interaction network analysis. Next, functional modules and transcription factor networks were constructed. Gene co-expression networks were analyzed by weighted correlation network analysis to identify key modules related to clinical traits, and the candidate key genes were validated in hepatic insulin resistance models in vitro.
resultsA total of 778 differentially expressed genes were filtered in the livers of type 2 diabetes patients, pathway enrichment analysis identified ke y pathways, such as the mitogen-activated protein kinase signaling pathway, Hippo signaling pathway and hypoxia-inducible factor-1 signaling pathway, that were associated with type 2 diabetes. Several transcription factors of three functional modules identified from protein-protein interaction networks are likely to be implicated in type 2 diabetes. Furthermore, weighted correlation network analysis identified five modules that were shown to be highly correlated with type 2 diabetes and other clinical traits. Functional annotation showed that these modules were mainly enriched in pathways such as metabolic pathways, phosphoinositide 3-kinase-protein kinase B signaling pathway and natural killer cell-mediated cytotoxicity. UBE2M and GPER were upregulated in L02 and HepG2 models, whereas P2RY11 only upregulated in L02 model, and UBE2N only downregulated in HepG2 model at a significant level.
conclusionsThese results would offer new insights into hepatic insulin resistance, type 2 diabetes pathogenesis, development and drug discovery.
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