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Integrated DNA Methylation and Gene Expression Analysis Identified S100A8 and S100A9 in the Pathogenesis of Obesity

Ningyuan Chen, Liu Miao, Wei Lin, Donghua Zou, Ling Huang, Jia Huang, Wanxin Shi, Lilin Li, Yuxing Luo, Hao Liang, Shang‐Ling Pan, Jun-Hua Peng

2021Frontiers in Cardiovascular Medicine25 citationsDOIOpen Access PDF

Abstract

Background: To explore the association of DNA methylation and gene expression in the pathology of obesity. Methods: (1) Genomic DNA methylation and mRNA expression profile of visceral adipose tissue (VAT) were performed in a comprehensive database of gene expression in obese and normal subjects. (2) Functional enrichment analysis and construction of differential methylation gene regulatory networks were performed. (3) Validation of the two different methylation sites and corresponding gene expression was done in a separate microarray dataset. (4) Correlation analysis was performed on DNA methylation and mRNA expression data. Results: A total of 77 differentially expressed mRNAs matched with differentially methylated genes. Analysis revealed two different methylation sites corresponding to two unique genes—s100a8-cg09174555 and s100a9-cg03165378. Through the verification test of two interesting different expression positions [differentially methylated positions (DMPs)] and their corresponding gene expression, we found that methylation in these genes was negatively correlated to gene expression in the obesity group. Higher S100A8 and S100A9 expressions in obese subjects were validated in a separate microarray dataset. Conclusion: This study confirmed the relationship between DNA methylation and gene expression and emphasized the important role of S100A8 and S100A9 in the pathogenesis of obesity.

Topics & Concepts

DNA methylationMethylationGene expressionGeneDNA microarrayBiologyS100A8Microarray analysis techniquesS100A9GeneticsRegulation of gene expressionMicroarrayMolecular biologyS100 Proteins and AnnexinsEpigenetics and DNA MethylationNeonatal Respiratory Health Research
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