Liping Xiang, Xiaoyan Li, Yunchen Luo, Bing Zhou, Yuejun Liu, Yao Li, Duojiao Wu, Lijing Jia, Pei-Wu Zhu, Ming-Hua Zheng, Hua Wang, Yan Lu
{"title":"脂肪变性与NASH进展的多组学景观","authors":"Liping Xiang, Xiaoyan Li, Yunchen Luo, Bing Zhou, Yuejun Liu, Yao Li, Duojiao Wu, Lijing Jia, Pei-Wu Zhu, Ming-Hua Zheng, Hua Wang, Yan Lu","doi":"10.1093/lifemeta/loac034","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":74074,"journal":{"name":"Life metabolism","volume":" ","pages":"242-257"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11749464/pdf/","citationCount":"0","resultStr":"{\"title\":\"A multi-omic landscape of steatosis-to-NASH progression.\",\"authors\":\"Liping Xiang, Xiaoyan Li, Yunchen Luo, Bing Zhou, Yuejun Liu, Yao Li, Duojiao Wu, Lijing Jia, Pei-Wu Zhu, Ming-Hua Zheng, Hua Wang, Yan Lu\",\"doi\":\"10.1093/lifemeta/loac034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":74074,\"journal\":{\"name\":\"Life metabolism\",\"volume\":\" \",\"pages\":\"242-257\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11749464/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Life metabolism\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/lifemeta/loac034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Life metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/lifemeta/loac034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A multi-omic landscape of steatosis-to-NASH progression.
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.