Xiang Zhang, Ming-Hua Zheng, Dehua Liu, Yufeng Lin, Sherlot Juan Song, Eagle Siu-Hong Chu, Dabin Liu, Seema Singh, Michael Berman, Harry Cheuk-Hay Lau, Hongyan Gou, Grace Lai-Hung Wong, Ni Zhang, Hai-Yang Yuan, Rohit Loomba, Vincent Wai-Sun Wong, Jun Yu
{"title":"用于无创诊断代谢功能障碍相关性脂肪性肝炎的血液生物标记物面板","authors":"Xiang Zhang, Ming-Hua Zheng, Dehua Liu, Yufeng Lin, Sherlot Juan Song, Eagle Siu-Hong Chu, Dabin Liu, Seema Singh, Michael Berman, Harry Cheuk-Hay Lau, Hongyan Gou, Grace Lai-Hung Wong, Ni Zhang, Hai-Yang Yuan, Rohit Loomba, Vincent Wai-Sun Wong, Jun Yu","doi":"10.1016/j.cmet.2024.10.008","DOIUrl":null,"url":null,"abstract":"The current diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD) and its severe form, metabolic dysfunction-associated steatohepatitis (MASH), is suboptimal. Here, we recruited 700 individuals, including 184 from Hong Kong as a discovery cohort and 516 from San Diego, Wenzhou, and Hong Kong as three validation cohorts. A panel of 3 parameters (C-X-C motif chemokine ligand 10 [CXCL10], cytokeratin 18 fragments M30 [CK-18], and adjusted body mass index [BMI]) was formulated (termed N3-MASH), which discriminated patients with MASLD from healthy controls with an area under the receiver operating characteristic (AUROC) of 0.954. Among patients with MASLD, N3-MASH could identify patients with MASH with an AUROC of 0.823, achieving 90.0% specificity, 62.9% sensitivity, and 88.6% positive predictive value. The diagnostic performance of N3-MASH was confirmed in three validation cohorts with AUROC of 0.802, 0.805, and 0.823, respectively. Additionally, N3-MASH identifies patients with MASH improvement with an AUROC of 0.857. In summary, we developed a robust blood-based panel for the non-invasive diagnosis of MASH, which might help clinicians reduce unnecessary liver biopsies.","PeriodicalId":9840,"journal":{"name":"Cell metabolism","volume":"27 1","pages":""},"PeriodicalIF":27.7000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A blood-based biomarker panel for non-invasive diagnosis of metabolic dysfunction-associated steatohepatitis\",\"authors\":\"Xiang Zhang, Ming-Hua Zheng, Dehua Liu, Yufeng Lin, Sherlot Juan Song, Eagle Siu-Hong Chu, Dabin Liu, Seema Singh, Michael Berman, Harry Cheuk-Hay Lau, Hongyan Gou, Grace Lai-Hung Wong, Ni Zhang, Hai-Yang Yuan, Rohit Loomba, Vincent Wai-Sun Wong, Jun Yu\",\"doi\":\"10.1016/j.cmet.2024.10.008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD) and its severe form, metabolic dysfunction-associated steatohepatitis (MASH), is suboptimal. Here, we recruited 700 individuals, including 184 from Hong Kong as a discovery cohort and 516 from San Diego, Wenzhou, and Hong Kong as three validation cohorts. A panel of 3 parameters (C-X-C motif chemokine ligand 10 [CXCL10], cytokeratin 18 fragments M30 [CK-18], and adjusted body mass index [BMI]) was formulated (termed N3-MASH), which discriminated patients with MASLD from healthy controls with an area under the receiver operating characteristic (AUROC) of 0.954. Among patients with MASLD, N3-MASH could identify patients with MASH with an AUROC of 0.823, achieving 90.0% specificity, 62.9% sensitivity, and 88.6% positive predictive value. The diagnostic performance of N3-MASH was confirmed in three validation cohorts with AUROC of 0.802, 0.805, and 0.823, respectively. Additionally, N3-MASH identifies patients with MASH improvement with an AUROC of 0.857. In summary, we developed a robust blood-based panel for the non-invasive diagnosis of MASH, which might help clinicians reduce unnecessary liver biopsies.\",\"PeriodicalId\":9840,\"journal\":{\"name\":\"Cell metabolism\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":27.7000,\"publicationDate\":\"2024-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell metabolism\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cmet.2024.10.008\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell metabolism","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.cmet.2024.10.008","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
A blood-based biomarker panel for non-invasive diagnosis of metabolic dysfunction-associated steatohepatitis
The current diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD) and its severe form, metabolic dysfunction-associated steatohepatitis (MASH), is suboptimal. Here, we recruited 700 individuals, including 184 from Hong Kong as a discovery cohort and 516 from San Diego, Wenzhou, and Hong Kong as three validation cohorts. A panel of 3 parameters (C-X-C motif chemokine ligand 10 [CXCL10], cytokeratin 18 fragments M30 [CK-18], and adjusted body mass index [BMI]) was formulated (termed N3-MASH), which discriminated patients with MASLD from healthy controls with an area under the receiver operating characteristic (AUROC) of 0.954. Among patients with MASLD, N3-MASH could identify patients with MASH with an AUROC of 0.823, achieving 90.0% specificity, 62.9% sensitivity, and 88.6% positive predictive value. The diagnostic performance of N3-MASH was confirmed in three validation cohorts with AUROC of 0.802, 0.805, and 0.823, respectively. Additionally, N3-MASH identifies patients with MASH improvement with an AUROC of 0.857. In summary, we developed a robust blood-based panel for the non-invasive diagnosis of MASH, which might help clinicians reduce unnecessary liver biopsies.
期刊介绍:
Cell Metabolism is a top research journal established in 2005 that focuses on publishing original and impactful papers in the field of metabolic research.It covers a wide range of topics including diabetes, obesity, cardiovascular biology, aging and stress responses, circadian biology, and many others.
Cell Metabolism aims to contribute to the advancement of metabolic research by providing a platform for the publication and dissemination of high-quality research and thought-provoking articles.