2022
DOI: 10.1002/hep.32363
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Zac1 and the Imprinted Gene Network program juvenile NAFLD in response to maternal metabolic syndrome

Abstract: Background and Aims Within the next decade, NAFLD is predicted to become the most prevalent cause of childhood liver failure in developed countries. Predisposition to juvenile NAFLD can be programmed during early life in response to maternal metabolic syndrome (MetS), but the underlying mechanisms are poorly understood. We hypothesized that imprinted genes, defined by expression from a single parental allele, play a key role in maternal MetS‐induced NAFLD, due to their susceptibility to environmental stressors… Show more

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Cited by 9 publications
(2 citation statements)
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“…For example, the imprinted Gene Network (IGN) and the regulator Zac1 (Plag11) mediate the developmental cadmium‐induced NAFLD through direct binding of Zac1 to the Pparγ promoter, thus inducing lipid accumulation (Riegl et al., 2023). Also, the overexpressed Zac1 binds the TGF‐β1 and COL6A2 promoters, linking maternal MetS exposure to the programming of juvenile NAFLD (Baptissart et al., 2022). As well, H19 promotes hepatic steatosis and obstructive cholestatic liver fibrosis (Liu et al., 2018; Song et al., 2017) and Grb10 regulates hepatic lipid metabolism in a cell‐autonomous manner (Luo et al., 2018; Madon‐Simon et al., 2014).…”
Section: Discussionmentioning
confidence: 99%
“…For example, the imprinted Gene Network (IGN) and the regulator Zac1 (Plag11) mediate the developmental cadmium‐induced NAFLD through direct binding of Zac1 to the Pparγ promoter, thus inducing lipid accumulation (Riegl et al., 2023). Also, the overexpressed Zac1 binds the TGF‐β1 and COL6A2 promoters, linking maternal MetS exposure to the programming of juvenile NAFLD (Baptissart et al., 2022). As well, H19 promotes hepatic steatosis and obstructive cholestatic liver fibrosis (Liu et al., 2018; Song et al., 2017) and Grb10 regulates hepatic lipid metabolism in a cell‐autonomous manner (Luo et al., 2018; Madon‐Simon et al., 2014).…”
Section: Discussionmentioning
confidence: 99%
“…For gene set enrichment analysis, the common DEGs between the 0 vs. 5 µM CdCl 2 exposed Jeg-3 cells and pcopGFP vs. pcopGFP-mTuna transfected cells detected through RNA-seq were analyzed via hypergeometric calculation as described previously ( Baptissart et al, 2022 ).…”
Section: Methodsmentioning
confidence: 99%