Hepatocyte-specific loss of GPS2 in mice reduces non-alcoholic steatohepatitis via activation of PPARα.
Ning LiangAnastasius DamdimopoulosSaioa GoñiZhiqiang HuangLise-Lotte VedinTomas JakobssonMarco GiudiciOsman AhmedMatteo PedrelliSerena BarillaFawaz AlzaidArturo MendozaTarja SchröderRaoul KuiperPaolo PariniAnthony HollenbergPhilippe LefebvreSven M FrancqueLuc Van GaalBart StaelsNicolas VenteclefEckardt TreuterRongrong FanPublished in: Nature communications (2019)
Obesity triggers the development of non-alcoholic fatty liver disease (NAFLD), which involves alterations of regulatory transcription networks and epigenomes in hepatocytes. Here we demonstrate that G protein pathway suppressor 2 (GPS2), a subunit of the nuclear receptor corepressor (NCOR) and histone deacetylase 3 (HDAC3) complex, has a central role in these alterations and accelerates the progression of NAFLD towards non-alcoholic steatohepatitis (NASH). Hepatocyte-specific Gps2 knockout in mice alleviates the development of diet-induced steatosis and fibrosis and causes activation of lipid catabolic genes. Integrative cistrome, epigenome and transcriptome analysis identifies the lipid-sensing peroxisome proliferator-activated receptor α (PPARα, NR1C1) as a direct GPS2 target. Liver gene expression data from human patients reveal that Gps2 expression positively correlates with a NASH/fibrosis gene signature. Collectively, our data suggest that the GPS2-PPARα partnership in hepatocytes coordinates the progression of NAFLD in mice and in humans and thus might be of therapeutic interest.
Keyphrases
- high fat diet induced
- insulin resistance
- liver injury
- histone deacetylase
- genome wide
- gene expression
- drug induced
- dna methylation
- fatty acid
- adipose tissue
- end stage renal disease
- liver fibrosis
- metabolic syndrome
- type diabetes
- ejection fraction
- skeletal muscle
- electronic health record
- big data
- transcription factor
- newly diagnosed
- prognostic factors
- peritoneal dialysis
- wild type
- copy number
- weight gain
- machine learning
- body mass index
- weight loss
- mouse model
- single cell
- genome wide analysis