Identification of core gene in obese type 2 diabetes patients using bioinformatics analysis

Zhiyong Dong, Xinyi Lei, Stacy A. Kujawa, Naci Emre Bolu, Hong Zhao, Cunchuan Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Objectives Adipocytes and adipocyte lipid metabolism are closely related with obesity and type 2 diabetes, but the molecular mechanism still needs further investigation. The aim of this study is to discover the adipocyte genes and pathways involved in obesity and type 2 diabetes using bioinformatics analysis. Methods The GSE27951 gene expression profile was obtained. Software and online tools (STRING, Cytoscape, BioGPS, CTD, and FunRich) were used to identify core genes.21 human subcutaneous adipose samples, with 10 from type 2 diabetic patients and 11 from normal controls, were included in these analyses. Results 184 differentially expressed genes (DEGs) including 42 up-regulated genes and 142 down-regulated genes were found to be enriched in metabolism, receptor activity, collagen type IV and glutamine biosynthesis I pathway by using the enrichment analysis. Seven hub genes were identified from the PPI network using various software (Cytoscape, STRING, BioGPS, and CTD). Four core genes (COL4A2, ACACB, GLUL, and CD36) were found to be highly expressed in subcutaneous adipose tissue of obese patients accompanying type 2 diabetes. Conclusion COL4A2, ACACB, GLUL and CD36 might be the core molecular biomarkers of obesity in patients with or without type 2 diabetes.

Original languageEnglish (US)
Pages (from-to)310-321
Number of pages12
Issue number1
StatePublished - 2021


  • Obesity
  • adipose tissue
  • bioinformatics analysis
  • core molecular markers
  • type 2 diabetes

ASJC Scopus subject areas

  • Histology
  • Cell Biology


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