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

doi:10.1080/21623945.2021.1933297

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

Obstetrics and Gynecology

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	310-321
Number of pages	12
Journal	Adipocyte
Volume	10
Issue number	1
DOIs	https://doi.org/10.1080/21623945.2021.1933297
State	Published - 2021

Funding

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.

Keywords

Obesity
adipose tissue
bioinformatics analysis
core molecular markers
type 2 diabetes

ASJC Scopus subject areas

Histology
Cell Biology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/21623945.2021.1933297

Cite this

@article{1fb1e90b25d94052b0a8d120b5d434eb,

title = "Identification of core gene in obese type 2 diabetes patients using bioinformatics analysis",

abstract = "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.",

keywords = "Obesity, adipose tissue, bioinformatics analysis, core molecular markers, type 2 diabetes",

author = "Zhiyong Dong and Xinyi Lei and Kujawa, {Stacy A.} and Bolu, {Naci Emre} and Hong Zhao and Cunchuan Wang",

note = "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: {\textcopyright} 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.",

year = "2021",

doi = "10.1080/21623945.2021.1933297",

language = "English (US)",

volume = "10",

pages = "310--321",

journal = "Adipocyte",

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

Abstract

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

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