A network-based approach reveals the dysregulated transcriptional regulation in non-alcoholic fatty liver disease.

ABSTRACT: Non-alcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease worldwide. We performed network analysis to investigate the dysregulated biological processes in the disease progression and revealed the molecular mechanism underlying NAFLD. Based on network analysis, we identified a highly conserved disease-associated gene module across three different NAFLD cohorts and highlighted the predominant role of key transcriptional regulators associated with lipid and cholesterol metabolism. In addition, we revealed the detailed metabolic differences between heterogeneous NAFLD patients through integrative systems analysis of transcriptomic data and liver-specific genome-scale metabolic model. Furthermore, we identified transcription factors (TFs), including SREBF2, HNF4A, SR

SUBMITTER: Yang H 

PROVIDER: S-EPMC8529555 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature