4.4 Article

Biomarkers of adverse drug reactions

Journal

EXPERIMENTAL BIOLOGY AND MEDICINE
Volume 243, Issue 3, Pages 291-299

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/1535370217733425

Keywords

Adverse drug reactions; drug safety; biomarkers; pharmacogenomics

Funding

  1. MRC Centre for Drug Safety Science [MR/L006758/1]
  2. MRC [MR/L006758/1] Funding Source: UKRI
  3. Medical Research Council [MR/L006758/1] Funding Source: researchfish
  4. National Institute for Health Research [NF-SI-0512-10064] Funding Source: researchfish

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Adverse drug reactions can be caused by a wide range of therapeutics. Adverse drug reactions affect many bodily organ systems and vary widely in severity. Milder adverse drug reactions often resolve quickly following withdrawal of the casual drug or sometimes after dose reduction. Some adverse drug reactions are severe and lead to significant organ/tissue injury which can be fatal. Adverse drug reactions also represent a financial burden to both healthcare providers and the pharmaceutical industry. Thus, a number of stakeholders would benefit from development of new, robust biomarkers for the prediction, diagnosis, and prognostication of adverse drug reactions. There has been significant recent progress in identifying predictive genomic biomarkers with the potential to be used in clinical settings to reduce the burden of adverse drug reactions. These have included biomarkers that can be used to alter drug dose (for example, Thiopurine methyltransferase (TPMT) and azathioprine dose) and drug choice. The latter have in particular included human leukocyte antigen (HLA) biomarkers which identify susceptibility to immune-mediated injuries to major organs such as skin, liver, and bone marrow from a variety of drugs. This review covers both the current state of the art with regard to genomic adverse drug reaction biomarkers. We also review circulating biomarkers that have the potential to be used for both diagnosis and prognosis, and have the added advantage of providing mechanistic information. In the future, we will not be relying on single biomarkers (genomic/non-genomic), but on multiple biomarker panels, integrated through the application of different omics technologies, which will provide information on predisposition, early diagnosis, prognosis, and mechanisms.

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