Investigation into the molecular mechanism of obesity: an integrated approach of multi-omics analysis, machine learning and experimental validation.

ABSTRACT:

Background

Obesity has emerged as a major global public health challenge and poses a significant threat to human health. Despite extensive research, the mechanisms underlying its pathological progression remain elusive.

Aim

To systematically identify pivotal targets and underlying mechanisms affecting the pathological progression of obesity through integrated strategies.

Methods

Transcriptomic and single-cell RNA sequencing (scRNA-seq) datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were performed to identify obesity-associated genes. Moreover, functional enrichment analysis was conducted to elucidate potential mechanisms, and immune cell infiltration wa

SUBMITTER: Li Y 

PROVIDER: S-EPMC12535051 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature