Identification and immunological characterization of lipid metabolism-related molecular clusters in nonalcoholic fatty liver disease.

ABSTRACT:

Background

Nonalcoholic fatty liver disease (NAFLD) is now the major contributor to chronic liver disease. Disorders of lipid metabolism are a major element in the emergence of NAFLD. This research intended to explore lipid metabolism-related clusters in NAFLD and establish a prediction biomarker.

Methods

The expression mode of lipid metabolism-related genes (LMRGs) and immune characteristics in NAFLD were examined. The "ConsensusClusterPlus" package was utilized to investigate the lipid metabolism-related subgroup. The WGCNA was utilized to determine hub genes and perform functional enrichment analysis. After that, a model was constructed by machine learning techniques. To validate the predictive effectiveness, receiver operating characteristic curves, nomograms, decision c

SUBMITTER: Liu J 

PROVIDER: S-EPMC10410946 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature