Evidence map›Paper›PMID 42657106›Full record

ArticleJournal of translational internal medicine2026

Application of metabolomics in drug-induced liver injury: A systematic review.

Xiaoyan Sun, Xiaotong Li, Xiaona Li, Siyao Jin, Na Wang, Meng He, Lijuan Zhou, Wei Zhang, Xin Xiong, Libo Zhao

Abstract read
In one paragraph

Article in Journal of translational internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Xiaoyan SunDepartment of Pharmacy, Peking University Third Hospital, Beijing, China.
Xiaotong LiSchool of pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.
Xiaona LiDepartment of Pharmacy, Peking University Third Hospital, Beijing, China.
Siyao JinDepartment of Pharmacy, Peking University Third Hospital, Beijing, China.
Na WangDepartment of Pharmacy, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan Province, China.
Meng HeDepartment of Pharmacy, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan Province, China.
Lijuan ZhouDepartment of Pharmacy, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan Province, China.
Wei ZhangDepartment of Pharmacy, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan Province, China.
Xin XiongDepartment of Pharmacy, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-7554-6823
Libo ZhaoDepartment of Pharmacy, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-4968-6045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced liver injury (DILI) is one of the most common adverse reactions in clinical settings, and drug hepatotoxicity is also a primary factor contributing to the suspension and withdrawal of drug development. Currently, there are no specific biomarkers available for the early diagnosis and monitoring of DILI in clinical practice. In recent years, metabolomics has emerged as a powerful tool for identifying small molecule biomarkers in DILI, owing to its unique advantages. In this article, we comprehensively reviewed the metabolomics studies related to DILI to investigate the pathophysiological changes in DILI and to assess the potential application of metabolomics in its prediction and diagnosis. Relevant literature published before 30 April 2024 was retrieved from four online databases (PubMed, EMbase, Cochrane Library, and Web of Science). Research data were systematically collected, and the metabolites involved were analyzed. Metabolic pathway analysis related to DILI was conducted using the online software MetaboAnalyst 5.0. A total of 55 studies were included, identifying significantly altered metabolic pathways and valuable metabolic biomarkers. The most frequently reported biomarkers included glycocholic acid, taurochenodeoxycholic acid, taurocholic acid, creatine, glycochenodeoxycholic acid, taurodeoxycholic acid, glycodeoxycholic acid, and

Indexed as

biomarkersdiagnosisdrug-induced liver injurymetabolomicsprediction

Identifiers

PMID42657106
PMCPMC13508834

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.