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

Author

Listed:
  • Kodihalli C. Ravindra

    (Worldwide Research Development and Medical)

  • Vishal S. Vaidya

    (Worldwide Research Development and Medical)

  • Zhenyu Wang

    (Worldwide Research Development and Medical)

  • Joel D. Federspiel

    (Worldwide Research Development and Medical)

  • Richard Virgen-Slane

    (Worldwide Research Development and Medical)

  • Robert A. Everley

    (Worldwide Research Development and Medical)

  • Jane I. Grove

    (Nottingham University Hospitals NHS Trust and the University of Nottingham
    University of Nottingham)

  • Camilla Stephens

    (Hospital Universitario Virgen de la Victoria, Universidad de Málaga
    Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd))

  • Mireia F. Ocana

    (Worldwide Research Development and Medical)

  • Mercedes Robles-Díaz

    (Hospital Universitario Virgen de la Victoria, Universidad de Málaga
    Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd))

  • M. Isabel Lucena

    (Hospital Universitario Virgen de la Victoria, Universidad de Málaga
    Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd))

  • Raul J. Andrade

    (Hospital Universitario Virgen de la Victoria, Universidad de Málaga
    Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd))

  • Edmond Atallah

    (Nottingham University Hospitals NHS Trust and the University of Nottingham
    University of Nottingham)

  • Alexander L. Gerbes

    (University Hospital)

  • Sabine Weber

    (University Hospital)

  • Helena Cortez-Pinto

    (Universidade de Lisboa)

  • Andrew J. Fowell

    (Portsmouth Hospitals University NHS Trust)

  • Hyder Hussaini

    (Royal Cornwall Hospitals NHS Trust)

  • Einar S. Bjornsson

    (Landspitali University Hospital Reykjavik
    University of Iceland)

  • Janisha Patel

    (University Hospital Southampton)

  • Guido Stirnimann

    (University Hospital Inselspital and University of Bern)

  • Sumita Verma

    (Brighton and Sussex Medical School and University Hospitals Sussex NHS Foundation Trust)

  • Ahmed M. Elsharkawy

    (University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital)

  • William J. H. Griffiths

    (Cambridge University Hospitals NHS Foundation Trust)

  • Craig Hyde

    (Worldwide Research Development and Medical)

  • James W. Dear

    (University of Edinburgh, The Queen’s Medical Research Institute)

  • Guruprasad P. Aithal

    (Nottingham University Hospitals NHS Trust and the University of Nottingham
    University of Nottingham)

  • Shashi K. Ramaiah

    (Worldwide Research Development and Medical)

Abstract

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.

Suggested Citation

  • 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. , 2023. "Tandem mass tag-based quantitative proteomic profiling identifies candidate serum biomarkers of drug-induced liver injury in humans," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36858-6
    DOI: 10.1038/s41467-023-36858-6
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    References listed on IDEAS

    as
    1. Sonya A. MacParland & Jeff C. Liu & Xue-Zhong Ma & Brendan T. Innes & Agata M. Bartczak & Blair K. Gage & Justin Manuel & Nicholas Khuu & Juan Echeverri & Ivan Linares & Rahul Gupta & Michael L. Cheng, 2018. "Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations," Nature Communications, Nature, vol. 9(1), pages 1-21, December.
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