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Bile acid glycine:taurine ratios predict the progression of chronic liver disease.

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机构: [1]Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai [2]Human Metabolomics Institute, Inc., Shenzhen, Guangdong, China [3]Hong Kong Traditional Chinese Medicine Phenome Research Centre, School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong
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关键词: Bile acid Chronic liver disease Cirrhosis Disease progression Fibrosis Hepatocellular carcinoma NAFLD NASH

摘要:
The onset and progression of chronic liver disease (CLD) is a multistage process spanning years or several decades. Some bile acid (BA) features are identified as indicators for CLD progression. However, BAs are highly influenced by various factors and are stage- and/or population- specific. Emerging evidences demonstrated the association of structure of conjugated BAs and CLD progression. Here, we aimed to investigate the alteration of conjugated BAs and identify new features for CLD progression.Based on liquid chromatography-mass spectroscopy platform, 15 BAs were quantified in 1883 participants including healthy controls and CLD patients (NAFL, NASH, fibrosis, cirrhosis, and 3 types of liver cancer). Logistic regression was used to construct diagnostic models. Model performances were evaluated in discovery and test sets by area under the ROC curve (auROC), sensitivity, specificity, accuracy, and kappa index.Five BA glycine:taurine ratios were calculated and GCA/TCA, GDCA/TDCA, and GCDCA/TCDCA, were identified as candidates. Three diagnostic models were constructed for the differentiation of healthy control and early CLD (NAFL+NASH), early and advanced CLD (fibrosis+cirrhosis+liver cancer), and NAFL and NASH respectively. The auROCs of the models ranged from 0.91 to 0.97. The addition of age and gender improved model performances further. The alterations of the candidates and the performances of the diagnostic models were successfully validated by independent test sets (n=291).Our findings revealed stage-specific BA perturbation patterns and provided new biomarkers and tools for the monitoring of liver disease progression.This article is protected by copyright. All rights reserved.

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出版当年[2020]版:
大类 | 3 区 医学
小类 | 3 区 胃肠肝病学
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 胃肠肝病学
第一作者:
第一作者机构: [1]Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai
通讯作者:
通讯机构: [1]Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai [2]Human Metabolomics Institute, Inc., Shenzhen, Guangdong, China [3]Hong Kong Traditional Chinese Medicine Phenome Research Centre, School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong [*1]Human Metabolomics Institute, Inc., Gangzhilong Science and Technology Park, Longhua District, Shenzhen, Guangdong 518109, China. [*2]Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, China.
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