Unique metabolomics characteristics for distinguishing cirrhosis related to different liver diseases: A systematic review and meta-analysis

IF 4.3 Q1 ENDOCRINOLOGY & METABOLISM Diabetes & Metabolic Syndrome-Clinical Research & Reviews Pub Date : 2024-06-01 DOI:10.1016/j.dsx.2024.103068
Liu Yang , Fang Wang , Sijia Liu , Zicheng Xian , Shenshen Yang , Yanyan Xu , Lexin Shu , Xingxu Yan , Junjie He , Xia Li , Cheng Peng , Chenghao Bi , Yu Yuan , Siyu Chen , Liwen Han , Rongrong Yang , Yubo Li
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Abstract

Background and aim

Clinical evidence for early identification and diagnosis of liver cirrhosis (LC) caused by different types of liver disease is limited. We investigated this topic through a meta-analysis of quantitative metabolomics.

Methods

Four databases were searched until October 31, 2022 for studies comparing metabolite levels between patients with different types of liver disease and control individuals. A random-effects model was applied for the meta-analysis.

Results

This study included 55 studies with 8266 clinical participants, covering 348 metabolites. In LC related to drug-induced liver injury (DILI), hepatitis B virus (HBV) infection, and non-alcoholic fatty liver disease (NAFLD), the primary bile acid biosynthesis (taurocholic acid: SMD, 1.08[0.81, 1.35]; P < 0.00001; glycocholic acid: SMD, 1.35[1.07, 1.62]; P < 0.00001; taurochenodeoxycholic acid: SMD, 1.36[0.94, 1.78]; P < 0.00001; glycochenodeoxycholic acid: SMD, 1.49[0.93, 2.06]; P < 0.00001), proline and arginine (l-proline: SMD, 1.06[0.53, 1.58]; P < 0.0001; hydroxyproline: SMD, 0.81[0.30, 1.33]; P = 0.002), and fatty acid biosynthesis (palmitic acid: SMD, 0.44[0.21, 0.67]; P = 0.0002; oleic acid: SMD, 0.46[0.19, 0.73]; P = 0.0008; stearic acid: SMD, 0.37[0.07, 0.68]; P = 0.02) metabolic pathways were significantly altered.

Conclusion

We identified key biomarkers and metabolic characteristics for distinguishing and identifying LC related to different types of liver disease, providing a new perspective for early diagnosis, disease monitoring, and precise treatment.

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区分不同肝病相关肝硬化的独特代谢组学特征:系统综述和荟萃分析。
背景和目的:早期识别和诊断由不同类型肝病引起的肝硬化(LC)的临床证据有限。我们通过定量代谢组学的荟萃分析研究了这一课题:截至 2022 年 10 月 31 日,我们在四个数据库中搜索了比较不同类型肝病患者和对照组之间代谢物水平的研究。荟萃分析采用随机效应模型:本研究共纳入 55 项研究,8266 名临床参与者,涉及 348 种代谢物。在与药物性肝损伤(DILI)、乙型肝炎病毒(HBV)感染和非酒精性脂肪肝(NAFLD)相关的 LC 中,主要的胆汁酸生物合成(牛胆酸,SMD,1.08[0.05])和胆汁酸代谢物(牛胆酸,SMD,1.08[0.05])都与药物性肝损伤和非酒精性脂肪肝有关:SMD,1.08[0.81, 1.35];P 结论:我们发现了一些关键的生物标记物和代谢指标:我们确定了区分和识别与不同类型肝病相关的 LC 的关键生物标志物和代谢特征,为早期诊断、疾病监测和精确治疗提供了新的视角。
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来源期刊
CiteScore
22.90
自引率
2.00%
发文量
248
审稿时长
51 days
期刊介绍: Diabetes and Metabolic Syndrome: Clinical Research and Reviews is the official journal of DiabetesIndia. It aims to provide a global platform for healthcare professionals, diabetes educators, and other stakeholders to submit their research on diabetes care. Types of Publications: Diabetes and Metabolic Syndrome: Clinical Research and Reviews publishes peer-reviewed original articles, reviews, short communications, case reports, letters to the Editor, and expert comments. Reviews and mini-reviews are particularly welcomed for areas within endocrinology undergoing rapid changes.
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