Candidate biomarkers for the diagnosis and prognosis of drug‐induced liver injury: An international collaborative effort
Current blood biomarkers are suboptimal in detecting drug‐induced liver injury (DILI) and predicting its outcome. We sought to characterize the natural variabilty and performance characteristics of 14 promising DILI biomarker candidates. Serum or plasma from multiple cohorts of healthy volunteers (n...
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Published in: | Hepatology (Baltimore, Md.) Vol. 69; no. 2; pp. 760 - 773 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Wiley Subscription Services, Inc
01-02-2019
Wiley-Blackwell |
Subjects: | |
Online Access: | Get full text |
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Summary: | Current blood biomarkers are suboptimal in detecting drug‐induced liver injury (DILI) and predicting its outcome. We sought to characterize the natural variabilty and performance characteristics of 14 promising DILI biomarker candidates. Serum or plasma from multiple cohorts of healthy volunteers (n = 192 and n = 81), subjects who safely took potentially hepatotoxic drugs without adverse effects (n = 55 and n = 92) and DILI patients (n = 98, n = 28, and n = 143) were assayed for microRNA‐122 (miR‐122), glutamate dehydrogenase (GLDH), total cytokeratin 18 (K18), caspase cleaved K18, glutathione S‐transferase α, alpha‐fetoprotein, arginase‐1, osteopontin (OPN), sorbitol dehydrogenase, fatty acid binding protein, cadherin‐5, macrophage colony‐stimulating factor receptor (MCSFR), paraoxonase 1 (normalized to prothrombin protein), and leukocyte cell‐derived chemotaxin‐2. Most candidate biomarkers were significantly altered in DILI cases compared with healthy volunteers. GLDH correlated more closely with gold standard alanine aminotransferase than miR‐122, and there was a surprisingly wide inter‐ and intra‐individual variability of miR‐122 levels among healthy volunteers. Serum K18, OPN, and MCSFR levels were most strongly associated with liver‐related death or transplantation within 6 months of DILI onset. Prediction of prognosis among DILI patients using the Model for End‐Stage Liver Disease was improved by incorporation of K18 and MCSFR levels. Conclusion: GLDH appears to be more useful than miR‐122 in identifying DILI patients, and K18, OPN, and MCSFR are promising candidates for prediction of prognosis during an acute DILI event. Serial assessment of these biomarkers in large prospective studies will help further delineate their role in DILI diagnosis and management. |
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Bibliography: | Potential conflicts of interest: Dr. Kullak‐Ublick received compensation from Novartis. Dr. Ormarsdottir consults for Pfizer and AstraZeneca. Dr. Poynard consults and owns stock in BioPredictive. Dr. Bonkovsky consults and received grants from Alnylam and Mitsubishi‐Tanabe. He received grants from Gilead. Dr. Marcinak is employed by Takeda. Dr. van Boemmel consults, is on the speakers' bureau and received grants from Gilead, Roche and AbbVie. He is on the speakers' bureau for Siemens. Dr. Wolenski is employed by Takeda. Dr. Aubrecht is employed by Pfizer. He owns stock in PFE. Dr. Sauer owns stock in Amgen and Telsa. Dr. Fontana consults for Alnylam. He received grants from Bristol‐Myers Squibb, Gilead and AbbVie. These authors share senior authorship. is supported by the National Institute of Diabetes and Digestive and Kidney Diseases as a Cooperative Agreement (U01s) under grants U01‐DK065176 (Duke University), U01‐DK065201 (University of North Carolina), U01‐DK065184 (University of Michigan), U01‐DK065211 (Indiana University), U01DK065193 (University of Connecticut), U01‐DK065238 (University of California, San Francisco/California Pacific Medical Center), U01‐DK083023 (University of Texas Southwestern), U01‐DK083027 (Thomas Jefferson Hospital/University of Pennsylvania), U01‐DK082992 (Mayo Clinic), U01‐DK083020 (University of Southern California), and U01‐DK100928 (Illinois Critical Access Hospital Network). Additional funding is provided by Clinical and Translational Science Awards grants UL1 RR025761 (Indiana University), UL1 RR025747 (University of North Carolina), UL1 RR024986 (University of Michigan), and UL1 TR001420 (Wake Forest University). The Safer and Faster Evidence‐Based Translation Consortium received support from the Innovative Medicines Initiative Joint Undertaking under grant agreement #115003, the resources of which comprise financial contributions from the European Union's Seventh Framework Programme (FP7/2007‐2013) and European Federation of Pharmaceutical Industries and Associations companies. Additional support was received from the National Institute for Health Research Nottingham Digestive Diseases Biomedical Research Unit at the Nottingham University Hospitals National Health Service Trust and the University of Nottingham. The Drug‐Induced Liver Injury Network www.dilin.org These authors share first authorship. Current affiliation: Department of Gastroenterology and Hepatology, University Hospital, Iceland Authors share first authorship Authors share senior authorship Current Affiliation: Sanofi, Framingham, MA |
ISSN: | 0270-9139 1527-3350 1527-3350 |
DOI: | 10.1002/hep.29802 |