Literature DB >> 30883506

Pharmacogenetics Biomarkers Predictive of Drug Pharmacodynamics as an Additional Tool to Therapeutic Drug Monitoring.

Vincent Haufroid1,2, Nicolas Picard3.   

Abstract

Conventional therapeutic drug monitoring refers to the individualization of drug dosage by maintaining plasma or blood drug concentrations within a targeted therapeutic range. Accordingly, an individualized dose is proposed to the clinician according to the drug plasma or blood concentration using an a posteriori approach. Pharmacogenetics (PGx) has recently emerged as an additional tool to refine dose selection or, more interestingly to select, a priori, the first dose to administer. To date, the vast majority of genes explored in the context of PGx are those coding for metabolizing enzymes or membrane drug transporters, which mainly influence drug pharmacokinetics parameters. Indeed, among the 94 PGx-based drug dosing guidelines currently published by the Clinical Pharmacogenetics Implementation Consortium and the Dutch Pharmacogenetics Working Group on PharmGKB web site, 81 (86%) are associated with the genotype determination of either a metabolizing enzyme or a membrane drug transporter, whereas only 13 (14%) are associated with the genotype determination of a pharmacodynamics (PD)-associated gene. In this article, we describe selected PGx biomarkers that predict or could predict PD (both in terms of efficacy and toxicity). First, the most relevant clinical applications already subject to validated international guidelines (Clinical Pharmacogenetics Implementation Consortium and Dutch Pharmacogenetics Working Group), and ready to be implemented in routine clinical settings, are discussed to illustrate the clinical potential of PD-associated PGx biomarkers (G6PD, HLA-B*57:01, HLA-B*15:02, and VKORC1). Then, to illustrate not only the research potential of such biomarkers but also the complexity of PGx-PD relationships, the case of immunosuppressive drugs (for which conventional therapeutic drug monitoring is widely accepted) is extensively described with the potential to include some of these PGx biomarkers in future PGx dosing guidelines.

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Year:  2019        PMID: 30883506     DOI: 10.1097/FTD.0000000000000591

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  2 in total

1.  Improving Therapeutic Decisions: Pharmacodynamic Monitoring as an Integral Part of Therapeutic Drug Monitoring.

Authors:  Maria Shipkova; Uwe Christians
Journal:  Ther Drug Monit       Date:  2019-04       Impact factor: 3.681

2.  Potential Utility of Pre-Emptive Germline Pharmacogenetics in Breast Cancer.

Authors:  Philip S Bernard; Whitney Wooderchak-Donahue; Mei Wei; Steven M Bray; Kevin C Wood; Baiju Parikh; Gwendolyn A McMillin
Journal:  Cancers (Basel)       Date:  2021-03-11       Impact factor: 6.639

  2 in total

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