학술논문
Tandem mass tag-based quantitative proteomic profiling identifies candidate serum biomarkers of drug-induced liver injury in humans
Document Type
article
Author
Kodihalli C. Ravindra; Vishal S. Vaidya; Zhenyu Wang; Joel D. Federspiel; Richard Virgen-Slane; Robert A. Everley; Jane I. Grove; Camilla Stephens; Mireia F. Ocana; Mercedes Robles-Díaz; M. Isabel Lucena; Raul J. Andrade; Edmond Atallah; Alexander L. Gerbes; Sabine Weber; Helena Cortez-Pinto; Andrew J. Fowell; Hyder Hussaini; Einar S. Bjornsson; Janisha Patel; Guido Stirnimann; Sumita Verma; Ahmed M. Elsharkawy; William J. H. Griffiths; Craig Hyde; James W. Dear; Guruprasad P. Aithal; Shashi K. Ramaiah
Source
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Subject
Language
English
ISSN
2041-1723
Abstract
Diagnosis of rare, unpredictable, drug-induced liver injury (DILI) is a significant challenge for patients, clinicians, and drug development. Here, the authors discover, evaluate, and validate potential blood biomarkers to diagnose DILI and distinguish it from alternative causes of liver injury.