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丙型肝炎纤维化的新标志物:向圣杯迈进了一步?

New markers of fibrosis in hepatitis C: A step towards the Holy Grail?

作者信息

Dabos Konstantinos John

机构信息

Department of Hepatology, St Hohn's Hospital, Livingston EH54 6PP, West Lothian, United Kingdom.

出版信息

World J Hepatol. 2024 Feb 27;16(2):112-114. doi: 10.4254/wjh.v16.i2.112.

DOI:10.4254/wjh.v16.i2.112
PMID:38495275
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10941745/
Abstract

In the present issue of the , Ferrassi examine the problem of liver fibrosis staging in chronic hepatitis C. They identify novel biomarkers in an effort to predict accurate fibrosis staging with the aid of the metabolome of Hepatitis C patients. Overall I think Ferrassi took a different approach in identifying fibrosis biomarkers, by looking at the patients' metabolome. Their biomarkers clearly separate patients from controls. They can also separate out, patients with minimal fibrosis (F0-F1 stage) and patients with cirrhosis (F4 stage). Obviously, if these biomarkers were to be widely used, tests for all the important metabolites would need to be readily available for use in hospitals or outpatient setting and that may prove difficult and above all, costly. Nevertheless, this step could eventually lead to a metabolomic approach for novel biomarkers of Fibrosis. Obviously, it would need to be validated, but could represent a step towards the Holy Grail of Hepatology.

摘要

在本期《 》中,费拉西研究了慢性丙型肝炎中肝纤维化分期的问题。他们识别新型生物标志物,试图借助丙型肝炎患者的代谢组来准确预测纤维化分期。总体而言,我认为费拉西在识别纤维化生物标志物方面采用了不同的方法,即观察患者的代谢组。他们的生物标志物能明显区分患者与对照组。还能区分出轻度纤维化患者(F0 - F1期)和肝硬化患者(F4期)。显然,如果这些生物标志物要广泛应用,针对所有重要代谢物的检测需要在医院或门诊环境中随时可用,而这可能会很困难,尤其是成本高昂。然而,这一步最终可能会导向一种用于纤维化新型生物标志物的代谢组学方法。显然,它需要经过验证,但可能代表着朝着肝病学的圣杯迈出了一步。

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本文引用的文献

1
Metabolomics in chronic hepatitis C: Decoding fibrosis grading and underlying pathways.慢性丙型肝炎中的代谢组学:解读纤维化分级及潜在途径。
World J Hepatol. 2023 Nov 27;15(11):1237-1249. doi: 10.4254/wjh.v15.i11.1237.
2
Noninvasive Fibrosis Assessment in Chronic Hepatitis C Infection: An Update.慢性丙型肝炎感染中的无创纤维化评估:最新进展
J Clin Transl Hepatol. 2023 Oct 28;11(5):1228-1238. doi: 10.14218/JCTH.2022.00365. Epub 2023 May 11.
3
Hyaluronic acid as a potential marker for assessment of fibrosis regression after direct acting antiviral drugs in chronic hepatitis C patients.透明质酸作为评估慢性丙型肝炎患者直接抗病毒药物治疗后纤维化消退的潜在标志物。
Clin Exp Hepatol. 2021 Sep;7(3):320-327. doi: 10.5114/ceh.2021.109293. Epub 2021 Sep 22.
4
Increased cancer rates in patients with chronic hepatitis C.慢性丙型肝炎患者癌症发病率增加。
Liver Int. 2020 Mar;40(3):685-693. doi: 10.1111/liv.14305. Epub 2019 Dec 22.
5
Chronic hepatitis C infection - Noninvasive assessment of liver fibrosis in the era of direct acting antivirals.慢性丙型肝炎感染 - 直接作用抗病毒药物时代的肝纤维化无创评估。
Dig Liver Dis. 2019 Feb;51(2):183-189. doi: 10.1016/j.dld.2018.11.016. Epub 2018 Nov 28.
6
ADAPT: An Algorithm Incorporating PRO-C3 Accurately Identifies Patients With NAFLD and Advanced Fibrosis.ADAPT:一种纳入 PRO-C3 的算法可准确识别非酒精性脂肪性肝病伴进展性肝纤维化患者。
Hepatology. 2019 Mar;69(3):1075-1086. doi: 10.1002/hep.30163.
7
Enhanced liver fibrosis test using ELISA assay accurately discriminates advanced stage of liver fibrosis as determined by transient elastography fibroscan in treatment naïve chronic HCV patients.采用 ELISA 检测的肝纤维化增强试验可准确区分未经治疗的慢性 HCV 患者的瞬时弹性成像肝纤维化检测确定的肝纤维化晚期。
Clin Exp Med. 2018 Feb;18(1):45-50. doi: 10.1007/s10238-017-0463-4. Epub 2017 May 31.
8
Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection.开发一种简单的非侵入性指标以预测HIV/HCV合并感染患者的显著纤维化。
Hepatology. 2006 Jun;43(6):1317-25. doi: 10.1002/hep.21178.
9
Identification of chronic hepatitis C patients without hepatic fibrosis by a simple predictive model.通过简单预测模型识别无肝纤维化的慢性丙型肝炎患者。
Hepatology. 2002 Oct;36(4 Pt 1):986-92. doi: 10.1053/jhep.2002.36128.
10
An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group.一种慢性丙型肝炎活动度分级算法。METAVIR协作研究组。
Hepatology. 1996 Aug;24(2):289-93. doi: 10.1002/hep.510240201.