Univ. LilleInserm, CHU LilleInstitut Pasteur de LilleU1011-EGIDLilleFrance.
Univ. LilleInserm, CHU LilleU1190-EGIDLilleFrance.
Hepatology. 2021 Mar;73(3):920-936. doi: 10.1002/hep.31312. Epub 2020 Dec 18.
Nonalcoholic steatohepatitis (NASH) is considered as a pivotal stage in nonalcoholic fatty liver disease (NAFLD) progression, given that it paves the way for severe liver injuries such as fibrosis and cirrhosis. The etiology of human NASH is multifactorial, and identifying reliable molecular players and/or biomarkers has proven difficult. Together with the inappropriate consideration of risk factors revealed by epidemiological studies (altered glucose homeostasis, obesity, ethnicity, sex, etc.), the limited availability of representative NASH cohorts with associated liver biopsies, the gold standard for NASH diagnosis, probably explains the poor overlap between published "omics"-defined NASH signatures.
Here, we have explored transcriptomic profiles of livers starting from a 910-obese-patient cohort, which was further stratified based on stringent histological characterization, to define "NoNASH" and "NASH" patients. Sex was identified as the main factor for data heterogeneity in this cohort. Using powerful bootstrapping and random forest (RF) approaches, we identified reliably differentially expressed genes participating in distinct biological processes in NASH as a function of sex. RF-calculated gene signatures identified NASH patients in independent cohorts with high accuracy.
This large-scale analysis of transcriptomic profiles from human livers emphasized the sexually dimorphic nature of NASH and its link with fibrosis, calling for the integration of sex as a major determinant of liver responses to NASH progression and responses to drugs.
非酒精性脂肪性肝炎(NASH)被认为是非酒精性脂肪性肝病(NAFLD)进展的关键阶段,因为它为纤维化和肝硬化等严重肝损伤铺平了道路。人类 NASH 的病因是多因素的,并且很难确定可靠的分子参与者和/或生物标志物。再加上流行病学研究揭示的危险因素考虑不当(葡萄糖稳态改变、肥胖、种族、性别等),以及具有相关肝活检的代表性 NASH 队列的可用性有限(NASH 诊断的金标准),可能解释了发表的“组学”定义的 NASH 特征之间的重叠不佳。
在这里,我们从一个 910 名肥胖患者的队列中探索了肝脏的转录组谱,该队列根据严格的组织学特征进一步分层,以定义“非 NASH”和“NASH”患者。性别被确定为该队列中数据异质性的主要因素。使用强大的自举和随机森林(RF)方法,我们确定了可信赖的差异表达基因,这些基因参与了 NASH 中性别相关的不同生物学过程。RF 计算的基因特征可以准确识别独立队列中的 NASH 患者。
这项来自人类肝脏转录组谱的大规模分析强调了 NASH 的性别二态性及其与纤维化的联系,呼吁将性别作为肝脏对 NASH 进展和药物反应的主要决定因素进行整合。