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工程化人肝细胞类器官可实现基于 CRISPR 的脂肪变性靶点发现和药物筛选。

Engineered human hepatocyte organoids enable CRISPR-based target discovery and drug screening for steatosis.

机构信息

Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, Utrecht, The Netherlands.

Oncode Institute, Utrecht, The Netherlands.

出版信息

Nat Biotechnol. 2023 Nov;41(11):1567-1581. doi: 10.1038/s41587-023-01680-4. Epub 2023 Feb 23.

Abstract

The lack of registered drugs for nonalcoholic fatty liver disease (NAFLD) is partly due to the paucity of human-relevant models for target discovery and compound screening. Here we use human fetal hepatocyte organoids to model the first stage of NAFLD, steatosis, representing three different triggers: free fatty acid loading, interindividual genetic variability (PNPLA3 I148M) and monogenic lipid disorders (APOB and MTTP mutations). Screening of drug candidates revealed compounds effective at resolving steatosis. Mechanistic evaluation of effective drugs uncovered repression of de novo lipogenesis as the convergent molecular pathway. We present FatTracer, a CRISPR screening platform to identify steatosis modulators and putative targets using APOB and MTTP organoids. From a screen targeting 35 genes implicated in lipid metabolism and/or NAFLD risk, FADS2 (fatty acid desaturase 2) emerged as an important determinant of hepatic steatosis. Enhancement of FADS2 expression increases polyunsaturated fatty acid abundancy which, in turn, reduces de novo lipogenesis. These organoid models facilitate study of steatosis etiology and drug targets.

摘要

非酒精性脂肪性肝病 (NAFLD) 的注册药物缺乏部分是由于缺乏针对目标发现和化合物筛选的人类相关模型。在这里,我们使用人类胎儿肝细胞类器官来模拟 NAFLD 的第一阶段,脂肪变性,代表三种不同的触发因素:游离脂肪酸负荷、个体间遗传变异(PNPLA3 I148M)和单基因脂质紊乱(APOB 和 MTTP 突变)。药物候选物的筛选显示出有效缓解脂肪变性的化合物。有效药物的机制评估揭示了从头合成脂质的抑制是收敛的分子途径。我们提出了 FatTracer,这是一种使用 APOB 和 MTTP 类器官来识别脂肪变性调节剂和潜在靶点的 CRISPR 筛选平台。从针对脂质代谢和/或 NAFLD 风险中涉及的 35 个基因的筛选中,FADS2(脂肪酸去饱和酶 2)作为肝脂肪变性的重要决定因素出现。FADS2 表达的增强增加了多不饱和脂肪酸的丰度,反过来又减少了从头合成脂质。这些类器官模型促进了脂肪变性病因和药物靶点的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/697c/10635827/92d08839e65e/41587_2023_1680_Fig1_HTML.jpg

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