ArticleInternational journal of health sciences
Detection of Novel hub-methylated differentially expressed genes in pregnant women with gestational diabetes mellitus via WGCNA of epigenome-wide and transcriptome-wide profiling.
Article in International journal of health sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- The Association Between Chemerin Levels and Gestational Diabetes Mellitus: An Updated Systematic Review and Meta-Analysis.International journal of molecular sciences · 2025Pooled it
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Authors and funding
1 author.
Funding
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Abstract
Objectives: Gestational diabetes mellitus (GDM) is a prevalent metabolic disorder that adversely affects pregnant women and their growing fetuses. Evidence suggests that genetic and epigenetic modifications, such as DNA methylation, may contribute to the disease phenotype. This study aimed to identify GDM-related hub-methylated genes involved in GDM pathogenesis. Methods: RNA-seq transcriptomic-wide data (GSE203346) and microarray epigenomic-wide data (GSE106099) were obtained from the Gene Expression Omnibus. Weighted Gene Co-expression Network Analysis (WGCNA) and differential gene expression (DEGs) analysis were performed on the RNA-seq data using the "R" packages "WGCNA" and "DESeq2," respectively. Differentially methylated genes (DMGs) were identified using the "limma" package. Results: WGCNA identified 18 modules, with only two modules [MEyellow r = -0.32; Conclusion: This multi-omics study identified eight novel GDM-related hub DMGs in placental tissue from GDM cases, suggesting their potential involvement in GDM pathogenesis. Further study is needed.
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40046791PMC11877056What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.