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
Main Authors: Church, Rachel J., Kullak‐Ublick, Gerd A., Aubrecht, Jiri, Bonkovsky, Herbert L., Chalasani, Naga, Fontana, Robert J., Goepfert, Jens C., Hackman, Frances, King, Nicholas M. P., Kirby, Simon, Kirby, Patrick, Marcinak, John, Ormarsdottir, Sif, Schomaker, Shelli J., Schuppe‐Koistinen, Ina, Wolenski, Francis, Arber, Nadir, Merz, Michael, Sauer, John‐Michael, Andrade, Raul J., van Bömmel, Florian, Poynard, Thierry, Watkins, Paul B.
Format: Journal Article
Language:English
Published: United States Wiley Subscription Services, Inc 01-02-2019
Wiley-Blackwell
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Abstract 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.
AbstractList 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.
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 fourteen promising DILI biomarker candidates. Serum or plasma from multiple cohorts of healthy volunteers (n=192 and =81), subjects who safely took potentially hepatotoxic drugs without adverse effects (n=55 and =92) and DILI patients (n=98, =28, and =143) were assayed for microRNA-122 (miR-122), glutamate dehydrogenase (GLDH), total keratin 18 (K18), caspase cleaved K18 (ccK18), glutathione S-transferase alpha (GSTα), alpha fetoprotein (AFP), arginase-1 (ARG1), osteopontin (OPN), sorbitol dehydrogenase (SDH), fatty acid binding protein (FABP1), cadherin-5 (CDH5), macrophage colony stimulating factor receptor (MCSFR), paraoxonase 1 (PON1, normalized to prothrombin protein), and leucocyte cell-derived chemotaxin-2 (LECT2). Most candidate biomarkers were significantly altered in DILI cases compared to healthy volunteers. GLDH correlated more closely with gold standard alanine aminotransferase (ALT) than miR-122 and there was a surprisingly wide inter- and intra-individual variability of miR-122 levels among the healthy volunteers. Serum K18, OPN, and MCSFR levels were most strongly associated with liver-related death or transplant within 6 months of DILI-onset. Prediction of prognosis among DILI patients using Model for End-stage Liver Disease (MELD) was improved by incorporation of K18 and MCSFR levels. Conclusion : GLDH appears to be more useful than miR-122 in identifying DILI patients. 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.
Author Sauer, John‐Michael
Poynard, Thierry
Fontana, Robert J.
Marcinak, John
Chalasani, Naga
Wolenski, Francis
Bonkovsky, Herbert L.
Kirby, Simon
Kullak‐Ublick, Gerd A.
Kirby, Patrick
Schuppe‐Koistinen, Ina
Hackman, Frances
Goepfert, Jens C.
Arber, Nadir
King, Nicholas M. P.
van Bömmel, Florian
Ormarsdottir, Sif
Andrade, Raul J.
Watkins, Paul B.
Schomaker, Shelli J.
Church, Rachel J.
Aubrecht, Jiri
Merz, Michael
AuthorAffiliation 9 Natural and Medical Sciences Institute, Reutlingen, Germany
2 Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
3 Department of Clinical Pharmacology and Toxicology, University Hospital Zurich, University of Zurich, Switzerland
1 Institute for Drug Safety Sciences, University of North Carolina at Chapel Hill, Research Triangle Park, NC
21 Department of Hepatology, Groupe Hospitalier Pitié Salpêtrière, University Pierre et Marie Curie, INSERM UMR 938, Paris, France
20 Section of Hepatology, Clinic of Gastroenterology and Hepatology, University Hospital Leipzig, Leipzig, Germany
5 Drug Safety R&D, Pfizer Inc,. Groton, CT
17 Tel Aviv Sourasky Medical Center, Tel Aviv University, Israel
8 University of Michigan, Ann Arbor, MI
7 School of Medicine, Indiana University, Indianapolis, IN
18 Discovery and Investigative Safety, Novartis Institutes for Biomedical Research, Basel, Switzerland
19 Unidad de Gestión Clínica de Aparato Diges
AuthorAffiliation_xml – name: 6 Wake Forest University School of Medicine, Winston-Salem, NC
– name: 5 Drug Safety R&D, Pfizer Inc,. Groton, CT
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ContentType Journal Article
Copyright 2018 by the American Association for the Study of Liver Diseases.
2019 by the American Association for the Study of Liver Diseases.
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License 2018 by the American Association for the Study of Liver Diseases.
Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0
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Notes 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
OpenAccessLink http://kipublications.ki.se/Default.aspx?queryparsed=id:140189261
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Snippet Current blood biomarkers are suboptimal in detecting drug‐induced liver injury (DILI) and predicting its outcome. We sought to characterize the natural...
Current blood biomarkers are suboptimal in detecting drug-induced liver injury (DILI) and predicting its outcome. We sought to characterize the natural...
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SubjectTerms Adult
Alanine
Alanine transaminase
Arginase
Biomarkers
Biomarkers - blood
Cadherins
Case-Control Studies
Caspase
Chemical and Drug Induced Liver Injury - blood
Chemical and Drug Induced Liver Injury - diagnosis
Chemical and Drug Induced Liver Injury - etiology
Cytokeratin
Dehydrogenases
Diagnosis
Fatty acid-binding protein
Female
Glutamate dehydrogenase
Glutathione
Hepatology
Humans
Immunosuppressive agents
Life Sciences
Liver
Liver diseases
Liver transplantation
Macrophages
Male
Medicin och hälsovetenskap
Middle Aged
miRNA
Osteopontin
Paraoxonase
Paraoxonase 1
Prognosis
Prothrombin
Sorbitol
Title Candidate biomarkers for the diagnosis and prognosis of drug‐induced liver injury: An international collaborative effort
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fhep.29802
https://www.ncbi.nlm.nih.gov/pubmed/29357190
https://www.proquest.com/docview/2172324334
https://hal.sorbonne-universite.fr/hal-03974879
https://pubmed.ncbi.nlm.nih.gov/PMC6054900
http://kipublications.ki.se/Default.aspx?queryparsed=id:140189261
Volume 69
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