Blood toxicogenomics reveals potential biomarkers for management of idiosyncratic drug-induced liver injury
Rachel J. Church, Benedict Anchang, Brian D. Bennett, Pierre R. Bushel, Paul B. Watkins

TL;DR
This study identifies blood-based gene expression patterns that could help diagnose and predict outcomes in drug-induced liver injury.
Contribution
The study discovers novel blood transcriptomic biomarkers specific to idiosyncratic drug-induced liver injury.
Findings
Three genes (CFD, SQLE, INKA1) are significantly associated with IDILI compared to other liver injuries.
Over 500 genes differ between severe and milder IDILI cases, linked to T-cell depletion.
39 genes distinguish fatal or transplant cases of Hy’s Law from those that recover.
Abstract
Introduction: Accurate diagnosis, assessment, and prognosis of idiosyncratic drug-induced liver injury (IDILI) is problematic, in part due to the shortcomings of traditional blood biomarkers. Studies in rodents and healthy volunteers have supported that RNA transcript changes in whole blood may address some of these shortcomings. Methods: In this study, we conducted RNA-Seq analysis on peripheral blood samples collected from 55 patients with acute IDILI and 17 patients with liver injuries not attributed to IDILI. Results and discussion: Three differentially expressed genes (DEGs; CFD, SQLE, and INKA1) were identified as significantly associated with IDILI vs. other liver injuries. No DEGs were identified comparing IDILI patients to the 5 patients with autoimmune hepatitis, suggesting possible common underlying mechanisms. Two genes (VMO1 and EFNA1) were significantly associated with…
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Taxonomy
TopicsDrug-Induced Hepatotoxicity and Protection · Pharmacogenetics and Drug Metabolism · Liver Disease Diagnosis and Treatment
