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Dataset Information

Identification of potential crucial genes and mechanisms associated with metabolically unhealthy obesity based on the gene expression profile.


ABSTRACT:

Background

Obesity is an epidemic and systemic metabolic disease that seriously endangers human health. This study aimed to understand the transcriptomic characteristics of the blood of metabolically unhealthy obesity (MUO) and provide insight into the target genes of differently expressed microRNAs in the occurrence and development of MUO.

Methods

The GSE146869, GSE145412, GSE23561, and GSE169290 datasets were analyzed to understand the transcriptome characteristics of the blood of MUO and provide insights into the target genes of differently expressed microRNAs (DEMs) in MUO. Functional and pathway enrichment analyses and gene interaction network analyses were performed to profile the function of differentially expressed genes (DEGs). In addition, miRNet 2.0, TransmiR v2.0

SUBMITTER: Wang Q 

PROVIDER: S-EPMC12078199 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature

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