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

Autor: 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
Přispěvatelé: Federspiel, Joel D [0000-0002-2010-0071], Grove, Jane I [0000-0002-9950-7201], Stephens, Camilla [0000-0002-0796-9610], Isabel Lucena, M [0000-0001-9586-4896], Andrade, Raul J [0000-0002-1565-0757], Atallah, Edmond [0000-0002-7341-9174], Cortez-Pinto, Helena [0000-0002-8537-8744], Stirnimann, Guido [0000-0003-3447-264X], Hyde, Craig [0000-0002-6939-287X], Dear, James W [0000-0002-8630-8625], Aithal, Guruprasad P [0000-0003-3924-4830], Apollo - University of Cambridge Repository
Rok vydání: 2023
Předmět:
Zdroj: Ravindra, Kodihalli C; Vaidya, Vishal S; Wang, Zhenyu; Federspiel, Joel D; Virgen-Slane, Richard; Everley, Robert A; Grove, Jane I; Stephens, Camilla; Ocana, Mireia F; Robles-Díaz, Mercedes; Isabel Lucena, M; Andrade, Raul J; Atallah, Edmond; Gerbes, Alexander L; Weber, Sabine; Cortez-Pinto, Helena; Fowell, Andrew J; Hussaini, Hyder; Bjornsson, Einar S; Patel, Janisha; ... (2023). Tandem mass tag-based quantitative proteomic profiling identifies candidate serum biomarkers of drug-induced liver injury in humans. Nature communications, 14(1), p. 1215. Nature Publishing Group 10.1038/s41467-023-36858-6
Ravindra, K C, Vaidya, V S, Wang, Z, Federspiel, J D, Virgen-Slane, R, Everley, R A, Grove, J I, Stephens, C, Ocana, M F, Robles-Díaz, M, Lucena, M I, Andrade, R J, Atallah, E, Gerbes, A L, Weber, S, Cortez-Pinto, H, Fowell, A J, Hussaini, H, Bjornsson, E S, Patel, J, Stirnimann, G, Verma, S, Elsharkawy, A M, Griffiths, W J H, Hyde, C, Ramaiah, S K, Dear, J W & Aithal, G P 2023, ' Tandem Mass Tag-Based Quantitative Proteomic Profiling Identifies Novel Serum Biomarkers of Drug-Induced Liver Injury in Humans ', Nature Communications, vol. 14, no. 1, pp. 1215 . https://doi.org/10.1038/s41467-023-36858-6
Popis: Acknowledgements: We thank all our study participants and research study teams for their involvement in providing resources for this research. This article is supported by the members of COST Action “CA17112 - Prospective European Drug-Induced Liver Injury Network” supported by COST (European Cooperation in Science and Technology), www.cost.eu including J.I.G., C.S., M.R.-D., M.I.L., R.J.A., E.A., A.L.G., S.W., H.C.-P., E.S.B., G.S. and G.P.A. We acknowledge support from the members of the PRO-EURO-DILI Network for input on aligning protocols across multiple centers as well as in the case adjudication. We acknowledge Melanie Lingaya, Ryan Criswell, Deborah Hart, James Stejskal, Richard Giovanelli, Kelly Fader, and Heather Llewellyn for their assistance with sample processing. Funding was made available from the Drug Safety Research and Development department within Pfizer’s Worldwide Research Development and Medical. J.I.G., E.A., and G.P.A. are supported by NIHR Nottingham Biomedical Research Centre [BRC-1215-20003]. The views expressed are those of the authors and not necessarily those of the National Health Service (NHS), the NIHR or the Department of Health.
Funder: Funding was made available from the Drug Safety Research and Development department within Pfizer’s Worldwide Research Development and Medical. JIG, EA and GPA are supported by NIHR Nottingham Biomedical Research Centre [BRC-1215-6 20003].
Diagnosis of drug-induced liver injury (DILI) and its distinction from other liver diseases are significant challenges in drug development and clinical practice. Here, we identify, confirm, and replicate the biomarker performance characteristics of candidate proteins in patients with DILI at onset (DO; n = 133) and follow-up (n = 120), acute non-DILI at onset (NDO; n = 63) and follow-up (n = 42), and healthy volunteers (HV; n = 104). Area under the receiver operating characteristic curve (AUC) for cytoplasmic aconitate hydratase, argininosuccinate synthase, carbamoylphosphate synthase, fumarylacetoacetase, fructose-1,6-bisphosphatase 1 (FBP1) across cohorts achieved near complete separation (range: 0.94-0.99) of DO and HV. In addition, we show that FBP1, alone or in combination with glutathione S-transferase A1 and leukocyte cell-derived chemotaxin 2, could potentially assist in clinical diagnosis by distinguishing NDO from DO (AUC range: 0.65-0.78), but further technical and clinical validation of these candidate biomarkers is needed.
Databáze: OpenAIRE
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