A multi-omic landscape of steatosis-to-NASH progression

Abstract

Nonalcoholic steatohepatitis (NASH) has emerged as a major cause of liver failure and hepatocellular carcinoma. Investigation into the molecular mechanisms that underlie steatosis-to-NASH progression is key to understanding the development of NASH pathophysiology. Here, we present comprehensive multi-omic profiles of preclinical animal models to identify genes, non-coding RNAs, proteins, and plasma metabolites involved in this progression. In particular, by transcriptomics analysis, we identified Growth Differentiation Factor 3 (GDF3) as a candidate noninvasive biomarker in NASH. Plasma GDF3 levels are associated with hepatic pathological features in patients with NASH, and differences in these levels provide a high diagnostic accuracy of NASH diagnosis (AUROC = 0.90; 95% confidence interval: 0.85−0.95) with a good sensitivity (90.7%) and specificity (86.4%). In addition, by developing integrated proteomic-metabolomic datasets and performing a subsequent pharmacological intervention in a mouse model of NASH, we show that ferroptosis may be a potential target to treat NASH. Moreover, by using competing endogenous RNAs network analysis, we found that several miRNAs, including miR-582-5p and miR-292a-3p, and lncRNAs, including XLOC-085738 and XLOC-041531, are associated with steatosis-to-NASH progression. Collectively, our data provide a valuable resource into the molecular characterization of NASH progression, leading to the novel insight that GDF3 may be a potential noninvasive diagnostic biomarker for NASH while further showing that ferroptosis is a therapeutic target for the disease.

Key words： multi-omics; nonalcoholic steatohepatitis; simple steatosis; GDF3; ferroptosis

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