Nature Communications (Mar 2023)

Tandem mass tag-based quantitative proteomic profiling identifies candidate serum biomarkers of drug-induced liver injury in humans

  • 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

DOI
https://doi.org/10.1038/s41467-023-36858-6
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 14

Abstract

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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.