ArticleMolecular genetics & genomic medicine2019
Gene coexpression network analysis identified potential biomarkers in gestational diabetes mellitus progression.
Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- High fat diet remodels the gene regulatory networks in the preoptic area.Scientific reports · 2026Article
- Identification of Candidate Inhibitors to SARS-CoV-2's Enzymes and Potential Disruptors of Its Structural Proteins' Interactions.Advanced biomedical research · 2025Article
- Identification and characterization of signature genes related to fetoplacental vascular endothelial cell programming in gestational diabetes mellitus using bioinformatics analysis.Frontiers in genetics · 2025Article
- Knockdown of Aurora kinase B alleviates high glucose-triggered trophoblast cells damage and inflammation during gestational diabetes.Open life sciences · 2025Article
- Associations between prenatal organophosphate pesticide exposure and placental gene networks.Environmental research · 2023Article
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- Effects of Shenkang Pills on Early-Stage Diabetic Nephropathy in db/db MiceFrontiers in pharmacology · 2022Article
- Identification of Potential Biomarkers of Type 2 Diabetes Mellitus-Related Immune Infiltration Using Weighted Gene Coexpression Network Analysis.BioMed research international · 2022Article
- Placental gene network modules are associated with maternal stress during pregnancy and infant temperament.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021Article
- Identification of novel functional CpG-SNPs associated with type 2 diabetes and coronary artery disease.Molecular genetics and genomics : MGG · 2020Article
- Gene coexpression network analysis identified potential biomarkers in gestational diabetes mellitus progression.Molecular genetics & genomic medicine · 2019Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGestational diabetes mellitus (GDM) is one of the most common problems during pregnancy. Lack of international consistent diagnostic procedures has limit improvement of current therapeutic effectiveness. Here, we aimed to screen potential gene biomarkers that might play vital roles in GDM progression for assistance of its diagnostic and treatment.
methodsGene expression profiles in four GDM placentae at first trimester, four GDM placentae at second trimester, and four normal placentae were obtained from the publicly available Gene Expression Omnibus (GEO). Weighted gene coexpression network analysis (WGCNA) indicated two gene modules, that is, black and brown module, that was significantly positively and negatively correlated with GDM progression time points, respectively. Additionally, a significant positive correlation between module membership (MM) and degree in protein-protein interaction network of brown module genes was observed.
resultsKIF2C, CENPE, CCNA2, AURKB, MAD2L1, CCNB2, CDC20, PLK1, CCNB1, and CDK1 all have degree larger than 50 and MM larger than 0.9, so they might be valuable biomarkers in GDM. Gene set enrichment analysis inferred tight relations between carbohydrate metabolism or steroid biosynthesis-related processes and GDM progression.
conclusionsAll in all, our study should provide several novel references for GDM diagnosis and therapeutic.
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