Machine learning to identify potential biomarkers for sarcopenia in liver cirrhosis

doi:10.4254/wjh.v17.i6.105332

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Jun 27, 2025 (publication date) through Jun 25, 2025

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World Journal of Hepatology

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1948-5182

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Basic Study

World J Hepatol. Jun 27, 2025; 17(6): 105332
Published online Jun 27, 2025. doi: 10.4254/wjh.v17.i6.105332

Machine learning to identify potential biomarkers for sarcopenia in liver cirrhosis

Qian-Yu Liang, Jun Wang, Yun-Feng Yang, Kai Zhao, Rui-Li Luo, Ye Tian, Feng-Xia Li

Qian-Yu Liang, Jun Wang, Yun-Feng Yang, Kai Zhao, Rui-Li Luo, Ye Tian, Feng-Xia Li, Department of Gastroenterology, Shanxi Provincial People's Hospital, Taiyuan 030000, Shanxi Province, China

Author contributions: Liang QL and Li FX performed the experiments and drafted and revised the manuscript; Wang J, Yang YF, Zhao K, Luo RL, and Tian Y made substantial contributions to the conception and design of the work; all of the authors read and approved the final version of the manuscript to be published.

Supported by The Medical Key Science and Technology Project of Shanxi Province, No. 2020xm23.

Institutional review board statement: This study conformed to the ethical guidelines of the Declaration of Helsinki as reflected in a priori approval by Shanxi Provincial People's Hospital.

Conflict-of-interest statement: The authors declare that they have no competing interests.

Data sharing statement: The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/

Corresponding author: Feng-Xia Li, Chief Physician, Department of Gastroenterology, Shanxi Provincial People's Hospital, No. 29 Shuangta Temple Street, Yingze District, Taiyuan 030000, Shanxi Province, China. doclfx@126.com

Received: January 20, 2025
Revised: March 30, 2025
Accepted: April 27, 2025
Published online: June 27, 2025
Processing time: 158 Days and 10.3 Hours

Core Tip

Core Tip: This study unveiled different plasma metabolic profiles of liver cirrhosis patients with and without sarcopenia, which may identify valuable biomarkers for the early detection and prognosis prediction of the disease.