碳水化合物反应元件结合蛋白
基因沉默
脂肪生成
非酒精性脂肪肝
生物
信号转导
细胞生物学
下调和上调
癌症研究
脂质代谢
脂肪肝
转录因子
基因
内科学
内分泌学
生物化学
医学
疾病
作者
Sen Yang,Yang Zhang,Yan Zhang,Lianhong Yin,Xu Han,Xuerong Zhao,Ning Wang,Lina Xu
标识
DOI:10.1016/j.intimp.2023.111444
摘要
Long non-coding RNAs (lncRNAs) have been demonstrated to play vital roles in the pathogenesis of nonalcoholic fatty liver disease (NAFLD). However, their biological roles and function mechanisms in NAFLD remain largely unknown. In this study, we found that Gm28382 may be a potential pathogenic lncRNA of NAFLD and highly expressed in NAFLD through RNA-seq. Overexpression of Gm28382 significantly enhanced the lipid accumulation in AML12 cells, whereas Gm28382 silencing reduced lipogenesis both in palmitic acid (PA)-induced AML12 cells and high fat diet (HFD)-induced mice. Then, bioinformatics were employed to speculate the potential interacting genes of Gm28382, and found that Gm28382 may regulate ChREBP expression through binding with miR-326-3p. Fluorescence in situ hybridization (FISH), dual luciferase reporter assay, immunofluorescence RNA pull-down and RNA immunoprecipitation (RIP) assays were used to validate the binding and targeting relationship of these genes, and we confirmed that Gm28382 competitively binds to miR-326-3p to increase ChREBP expression as a ceRNA. Mechanistically, overexpression of Gm28382 upregulated the ChREBP-mediated lipid synthesis signaling pathway, but the function was sabotaged by miR-326-3p deletion or ChREBP overexpression. Furthermore, in PA-challenged AML12 cells or HFD-induced mice, silencing of Gm28382 reversed the aberrant ChREBP signaling pathway and lipid accumulation, whereas ChREBP overexpression or liver-specific silencing of miR-326-3p blocked this function of Gm28382. Collectively, these findings reveal a critical role of Gm28382 in the promotion of lipogenesis in NAFLD by regulating the ChREBP signaling pathway through interaction with miR-326-3p, which could serve as a potential therapeutic target for NAFLD treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI