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Updated: Oct 10, 2025

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro
Published on: January 31, 2022
Novel Clinical Biomarkers for Drug-Induced Liver Injury
Youhao Chen1, Shaoxing Guan1, Yanping Guan1
1School of Pharmaceutical Sciences, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Sun Yat-Sen University, Guangzhou 510006, China (Y.C., S.G., Y.G., S.T., Y.Z., X.W., H.B., M.H.)., School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China (H.B.); and NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangzhou, Guangdong Provincial Key Laboratory of New Drug Screening; School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, Guangdong, China (H.B.), Beijing, China (H.B.).
Abstract:
Drug-induced liver injury (DILI) remains a critical clinical issue and has been a treatment challenge today as it was in the past. However, the traditional biomarkers or indicators are insufficient to predict the risks and outcome of patients with DILI due to its poor specificity and sensitivity. Recently, the development of high-throughput technologies, especially omics and multiomics has sparked growing interests in identification of novel clinical DILI biomarkers, many of which also provide a mechanistic insight. Accordingly, in this minireview, we summarize recent advances in novel clinical biomarkers for DILI prediction, diagnosis, and prognosis and highlight the limitations or challenges involved in biomarker discovery or its clinical translation. Although huge work has been done, most reported biomarkers lack comprehensive information and more specific DILI biomarkers are still needed to complement the traditional biomarkers such as alanine aminotransferase (ALT) or aspartate transaminase (AST) in clinical decision-making. SIGNIFICANCE STATEMENT: This current review outlines an overview of novel clinical biomarkers for drug-induced liver injury (DILI) identified in clinical retrospective or prospective clinical analysis. Many of these biomarkers provide a mechanistic insight and are promising to complement the traditional DILI biomarkers. This work also highlights the limitations or challenges involved in biomarker discovery or its clinical translation.
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