TY - JOUR
T1 - Identification of core gene in obese type 2 diabetes patients using bioinformatics analysis
AU - Dong, Zhiyong
AU - Lei, Xinyi
AU - Kujawa, Stacy A.
AU - Bolu, Naci Emre
AU - Zhao, Hong
AU - Wang, Cunchuan
N1 - Funding Information:
The report will be a publication of the First Affiliated Hospital of Jinan University (China); Feinberg School of Medicine, Northwestern University (USA); Istanbul University Istanbul Faculty of Medicine (Turkey); Flagship specialty construction project-General surgery (No.711003). We would like to thank Anna Zhao (Northwestern University) for their help in reviewing and editing this paper. Contributors ZD, XL, CW, and HZ: drafted the manuscript, wrote and designed the research; and performed the data analyses and drafted the final full article. SK, NEB edited the English language of the final manuscript. ZD, XL, SK, NEB, HZ and CW critically reviewed the manuscript before submission.
Publisher Copyright:
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Obesity
KW - adipose tissue
KW - bioinformatics analysis
KW - core molecular markers
KW - type 2 diabetes
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U2 - 10.1080/21623945.2021.1933297
DO - 10.1080/21623945.2021.1933297
M3 - Article
C2 - 34085602
AN - SCOPUS:85107187978
SN - 2162-3945
VL - 10
SP - 310
EP - 321
JO - Adipocyte
JF - Adipocyte
IS - 1
ER -
