Identification of key genes associated with idiopathic pulmonary fibrosis and sarcopenia by bioinformatics analysis.

ABSTRACT:

Background

Idiopathic pulmonary fibrosis (IPF) and sarcopenia significantly affect patients' quality of life. The progression and worsening of these conditions are often associated with endoplasmic reticulum (ER) stress, a key cellular stress-response mechanism. This study aimed to investigate the involvement of ER stress in cellular dysfunction in IPF and sarcopenia by identifying ER stress-related crosstalk genes (ERSRCGs).

Methods

Differential gene expression and weighted gene co-expression network analysis (WGCNA) were used to identify ERSRCGs. Functional enrichment analyses, including the Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), Gene Set Variation Analysis (GSVA), and Gene Set Enrichment Analysis (GSEA), were performed to categorize associated

SUBMITTER: Shen L 

PROVIDER: S-EPMC12668514 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature