Identification of key modules and driving genes in nonalcoholic fatty liver disease by weighted gene co-expression network analysis.

ABSTRACT:

Background

Nonalcoholic fatty liver disease (NAFLD) is characterized by excessive liver fat deposition, and progresses to liver cirrhosis, and even hepatocellular carcinoma. However, the invasive diagnosis of NAFLD with histopathological evaluation remains risky. This study investigated potential genes correlated with NAFLD, which may serve as diagnostic biomarkers and even potential treatment targets.

Methods

The weighted gene co-expression network analysis (WGCNA) was constructed based on dataset E-MEXP-3291. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to evaluate the function of genes.

Results

Blue module was positively correlated, and turquoise module negatively correlated with the severity of NAFLD. Furthermore, 8

SUBMITTER: Song Z 

PROVIDER: S-EPMC10364401 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature