Integrated bioinformatics decoding of the MASLD ceRNA network reveals novel therapeutic targets.

ABSTRACT: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of chronic liver disease worldwide. The mechanisms of liver injury in MASLD patients remain incompletely elucidated. This study aims to identify novel critical genes associated with MASLD using bioinformatics approaches. Microarray datasets were downloaded from the GEO database, and differentially expressed genes (DEGs) were identified. We performed enrichment analyses, constructed protein-protein interaction (PPI) networks, and visualized co-expression networks between mRNAs and miRNAs. Hub gene expression was validated using an independent dataset, and ROC curves were generated. Subsequent analyses included clinical correlation assessments and ceRNA network construction. Enrichment analyses revealed tha

SUBMITTER: Yu S 

PROVIDER: S-EPMC12589229 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature