4.7 Article

Proteomics Analysis of Monocyte-Derived Hepatocyte-Like Cells Identifies Integrin Beta 3 as a Specific Biomarker for Drug-Induced Liver Injury by Diclofenac

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FRONTIERS IN PHARMACOLOGY
卷 9, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fphar.2018.00699

关键词

DILI; biomarker; proteomics; drug-development; monocyte-derived hepatocyte-like cells

资金

  1. German Federal Ministry for Economic Affairs and Energy (EXIST) [03EFT9BY56]
  2. Bavarian Ministry of Economic Affairs and Media, Energy and Technology, Germany (m4-award) [1330/68362/34/2013]
  3. European Commission Horizon2020 SME Program [711620]
  4. European Institute of Technology (EIT Health), Headstart [HS-2016-DE-02]
  5. Bavarian Ministry of Economic Affairs and Media, Energy and Technology [TOU1510-0003]
  6. H2020 Societal Challenges Programme [711620] Funding Source: H2020 Societal Challenges Programme

向作者/读者索取更多资源

Idiosyncratic drug-induced liver injury (iDILI) is a major cause of acute liver failure resulting in liver transplantation or death. Prediction and diagnosis of iDILI remain a great challenge, as current models provide unsatisfying results in terms of sensitivity, specificity, and prognostic value. The absence of appropriate tools for iDILI detection also impairs the development of reliable biomarkers. Here, we report on a new method for identification of drug-specific biomarkers. We combined the advantages of monocyte-derived hepatocyte-like (MH) cells, able to mimic individual characteristics, with those of a novel mass spectrometry-based proteomics technology to assess potential biomarkers for Diclofenac-induced DILI. We found over 2,700 proteins differentially regulated in MH cells derived from individual patients. Herefrom, we identified integrin beta 3 (ITGB3) to be specifically upregulated in Diclofenac-treated MH cells from Diclofenac-DILI patients compared to control groups. Finally, we validated ITGB3 by flow cytometry analysis of whole blood and histological staining of liver biopsies derived from patients diagnosed with Diclofenac-DILI. In summary, our results show that biomarker candidates can be identified by proteomics analysis of MH cells. Application of this method to a broader range of drugs in the future will exploit its full potential for the development of drug-specific biomarkers. Data are available via ProteomeXchange with identifier PXD008918.

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