Plasma proteomics biomarkers for predicting anti‐tuberculosis drug‐induced liver injury: A comprehensive assessment

This study has successfully identified five pre-treatment plasma protein signature that, when incorporated into machine learning models, may enable the prediction of ATB-DILI risk, offering potential for early intervention in tuberculosis therapy.

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Publication Details

Journal
British Journal of Clinical Pharmacology
Published
2026-01-14
DOI
https://doi.org/10.1002/bcp.70446
Primary Topic
Drug-Induced Hepatotoxicity and Protection
Type
article
Field-Weighted Citation Impact
0.00
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article

Plasma proteomics biomarkers for predicting anti‐tuberculosis drug‐induced liver injury: A comprehensive assessment

Jian‐Qing He, Mei Zhang, M. Wang, Quan‐Xian Liu
British Journal of Clinical Pharmacology
Drug-Induced Hepatotoxicity and Protection
article

Plasma proteomics biomarkers for predicting anti‐tuberculosis drug‐induced liver injury: A comprehensive assessment

Jian‐Qing He, Mei Zhang, M. Wang, Quan‐Xian Liu
article en

Abstract

This study has successfully identified five pre-treatment plasma protein signature that, when incorporated into machine learning models, may enable the prediction of ATB-DILI risk, offering potential for early intervention in tuberculosis therapy.

British Journal of Clinical Pharmacology
GenVec (US), Sichuan University (CN), West China Hospital of Sichuan University (CN)
Good health and well-being
Openalex Percentile: Top 88%
Drug-Induced Hepatotoxicity and Protection
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