4.8 Article

Hepatic Molecular Signatures Highlight the Sexual Dimorphism of Nonalcoholic Steatohepatitis (NASH)

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HEPATOLOGY
卷 73, 期 3, 页码 920-936

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LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1002/hep.31312

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资金

  1. Agence Nationale pour la Recherche [ANR-16-RHUS-0006-PreciNASH, ANR-10-LBEX-46]
  2. European Union (FP6 Hepadip) [FP6-018734]
  3. European Union (FP7 Resolve) [FP7-305707]
  4. Fondation de France [2014 00047965]
  5. Fondation pour la Recherche Medicale (Equipe labellisee) [DEQ20150331724]
  6. Advanced ERC Grant [694717]

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This study explored transcriptomic profiles of livers from a cohort of 910 obese patients, identifying differentially expressed genes in NASH patients based on sex using bootstrapping and random forest approaches. The findings highlighted the sexually dimorphic nature of NASH and its link with fibrosis, emphasizing the importance of integrating sex as a major determinant of liver responses to NASH progression and drug responses.
Background and Aims 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. Approach and Results 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. Conclusions 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.

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