Background::The hallmark of non-alcoholic fatty liver disease (NAFLD) is
aberrant buildup of triglycerides (TGs) in hepatocytes. Many genes promote NAFLD development.
Using bioinformatics tools, we investigated the possible effect of statins on
genes involved in NAFLD progression
Methods::Protein interactions of statins and NAFLD were searched in gene-drug and
gene-disease databases. A Protein-Protein interaction (PPI) network was constructed to
find hub genes and Molecular Complex Detection (MCODE) of NAFLD-related genes.
Shared protein targets between protein targets of statins and NAFLD-associated genes
were identified. Next, targets of each statin were assayed with all modular clusters in the
MCODEs related to NAFLD. Biological process and pathway enrichment analysis for
shared proteins was performed.
Results::Screening protein targets for conventional statins and curated NAFLD-related
genes identified 343 protein targets and 70 genes, respectively. A Venn diagram of
NAFLD-related genes and protein targets of statins showed 24 shared proteins. The biological
pathways on KEGG enrichment associated with the 24 shared protein sets were
evaluated and included cytokine-cytokine receptor interaction, adipocytokine, PPAR,
TNF and AMPK signaling pathways. Gene Ontology analysis showed major involvement
in lipid metabolic process regulation and inflammatory response. PPI network analysis
of 70 protein targets indicated 13 hub genes (PPARA, IL4, CAT, LEP, SREBF1,
PRKCA, CYP2E1, NFE2L2, PTEN, NR1H4, ADIPOQ, GSTP1 and TGFB1). Comparing
all seven statins with the three MCODE clusterings and 13 hub genes revealed that
simvastatin as the most associated statin with NAFLD.
Conclusions::Simvastatin has the most impact on NAFLD-related genes versus other
statins.