程序性细胞死亡
内质网
脂质代谢
新陈代谢
过氧化物酶体
焊剂(冶金)
突变
细胞生物学
线粒体
细胞
肝病
疾病
脂滴
肝细胞
遗传变异
表观遗传学
化学
代谢组学
生物
诱导多能干细胞
功能(生物学)
代谢途径
转录组
遗传模型
肝损伤
细胞代谢
遗传性疾病
全基因组关联研究
细胞生长
遗传学
肝细胞
细胞凋亡
生物化学
作者
Rodrigo M. Florentino,Olamide Animasahun,Nils Haep,Minal Nenwani,Kehinde Omoloja,Leyla Nurcihan Altay,Abhinav Achreja,Kazutoyo Morita,Takashi Motomura,Ricardo Díaz‐Aragon,Lanuza A. P. Faccioli,Yiyue Sun,Zhenghao Liu,Zhiping Hu,Bo Yang,Fulei Wuchu,Ajay Shankaran,Miya Paserba,Annalisa M. Baratta,Shohrat Arazov
出处
期刊:JCI insight
[American Society for Clinical Investigation]
日期:2025-10-21
卷期号:10 (23)
被引量:4
标识
DOI:10.1172/jci.insight.193805
摘要
Genetic variants in lipid metabolism influence the risk of developing metabolic dysfunction-associated steatotic liver disease (MASLD), cirrhosis, and end-stage liver disease (ESLD). The mechanisms by which these variants drive disease are poorly understood. Because of the PNPLA3-I148M variant's strong correlation with all stages of the MASLD spectrum and the lack of tractable therapeutic targets, we sought to understand its impact on cellular function and liver metabolism. Primary human hepatocytes (HAHs) and induced pluripotent stem cell-derived (iPSC-derived) hepatocytes (iHeps) from healthy individuals possessing the PNPLA3-I148M mutation were characterized for changes in lipid metabolism, cellular stress, and survival. Using lipidomics, metabolomics, stable isotope tracing, and flux propensity analysis, we created a comprehensive metabolic profile of the changes associated with the PNPLA3-I148M variant. Functional analysis showed that the presence of the PNPLA3-I148M variant increased endoplasmic reticulum stress, mitochondrial dysfunction, and peroxisomal β-oxidation, ultimately leading to cell death via ferroptosis. Nutritional interventions, ferroptosis-specific inhibitors, and genetic approaches modulating GPX4 activity in PNPLA3-I148M HAHs and iHeps decreased programmed cell death. Our findings indicate that therapies targeting ferroptosis in patients carrying the PNPLA3-I148M variant could affect the development of MASLD and ESLD and highlight the utility of iPSC-based models for the study of genetic contributions to hepatic disorders.
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