Literature DB >> 18551264

[CYP2D6-, CYP2C9- and CYP2C19-based dose adjustments: when do they make sense?].

A Seeringer1, J Kirchheiner.   

Abstract

The efficacy of a drug therapy is influenced by many different factors such as age, weight, comorbidity and co-medication, which vary between patients, as well as fixed parameters such as gender and pharmacogenetic characteristics. Many enzymes involved in drug metabolism are genetically polymorphic, which means that their activity differs depending on a certain genotype. Drugs will be metabolized slowly in individuals who are carriers of a genetic polymorphism, leading to absent or decreased enzyme activity, and these individuals are at particular risk for adverse drug reactions or therapeutic failure. On the other hand, drug therapy could be ineffective if the drug is metabolized too fast because of a genetic polymorphism. The knowledge of these polymorphisms before beginning a drug therapy could help in choosing the right drug in a safe dosage. In particular, three polymorphic drug metabolizing enzymes are responsible for the metabolism of many commonly used drugs. These enzymes, belonging to the cytochrome P450 (CYP) family, are CYP2D6, CYP2C9 and CYP2C19. Besides beta-blockers and antidepressants, several drugs used in cancer therapy, as well as PPIs, NSAIDs, vitamin K-antagonists and oral antidiabetics are metabolized via these enzymes. Especially for drugs with a narrow therapeutic index and a high risk for the development of adverse drug effects, genotyping could be helpful when choosing the right drug in the optimal dosage for individual patients.

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Year:  2008        PMID: 18551264     DOI: 10.1007/s00108-008-2125-9

Source DB:  PubMed          Journal:  Internist (Berl)        ISSN: 0020-9554            Impact factor:   0.743


  32 in total

1.  CYP2D6 and CYP2C19 genotype-based dose recommendations for antidepressants: a first step towards subpopulation-specific dosages.

Authors:  J Kirchheiner; K Brøsen; M L Dahl; L F Gram; S Kasper; I Roots; F Sjöqvist; E Spina; J Brockmöller
Journal:  Acta Psychiatr Scand       Date:  2001-09       Impact factor: 6.392

Review 2.  Pharmacogenetics of antidepressants and antipsychotics: the contribution of allelic variations to the phenotype of drug response.

Authors:  J Kirchheiner; K Nickchen; M Bauer; M-L Wong; J Licinio; I Roots; J Brockmöller
Journal:  Mol Psychiatry       Date:  2004-05       Impact factor: 15.992

3.  The impact of cytochrome P450 2D6 metabolism in women receiving adjuvant tamoxifen.

Authors:  Matthew P Goetz; Stacey K Knox; Vera J Suman; James M Rae; Stephanie L Safgren; Matthew M Ames; Daniel W Visscher; Carol Reynolds; Fergus J Couch; Wilma L Lingle; Richard M Weinshilboum; Emily G Barr Fritcher; Andrea M Nibbe; Zeruesenay Desta; Anne Nguyen; David A Flockhart; Edith A Perez; James N Ingle
Journal:  Breast Cancer Res Treat       Date:  2006-11-18       Impact factor: 4.872

Review 4.  Effect of genetic polymorphisms in cytochrome p450 (CYP) 2C9 and CYP2C8 on the pharmacokinetics of oral antidiabetic drugs: clinical relevance.

Authors:  Julia Kirchheiner; Ivar Roots; Mark Goldammer; Bernd Rosenkranz; Jürgen Brockmöller
Journal:  Clin Pharmacokinet       Date:  2005       Impact factor: 6.447

5.  A common novel CYP2C19 gene variant causes ultrarapid drug metabolism relevant for the drug response to proton pump inhibitors and antidepressants.

Authors:  Sarah C Sim; Carl Risinger; Marja-Liisa Dahl; Eleni Aklillu; Magnus Christensen; Leif Bertilsson; Magnus Ingelman-Sundberg
Journal:  Clin Pharmacol Ther       Date:  2006-01       Impact factor: 6.875

6.  Quantitative effect of CYP2D6 genotype and inhibitors on tamoxifen metabolism: implication for optimization of breast cancer treatment.

Authors:  Silvana Borges; Zeruesenay Desta; Lang Li; Todd C Skaar; Bryan A Ward; Anne Nguyen; Yan Jin; Anna Maria Storniolo; D Michele Nikoloff; Lin Wu; Grant Hillman; Daniel F Hayes; Vered Stearns; David A Flockhart
Journal:  Clin Pharmacol Ther       Date:  2006-07       Impact factor: 6.875

7.  Tamoxifen for early breast cancer: an overview of the randomised trials. Early Breast Cancer Trialists' Collaborative Group.

Authors: 
Journal:  Lancet       Date:  1998-05-16       Impact factor: 79.321

8.  Pharmacokinetics and CYP2D6 genotypes do not predict metoprolol adverse events or efficacy in hypertension.

Authors:  Issam Zineh; Amber L Beitelshees; Andrea Gaedigk; Joseph R Walker; Daniel F Pauly; Kathleen Eberst; J Steven Leeder; Michael S Phillips; Craig A Gelfand; Julie A Johnson
Journal:  Clin Pharmacol Ther       Date:  2004-12       Impact factor: 6.875

Review 9.  Clinical consequences of cytochrome P450 2C9 polymorphisms.

Authors:  Julia Kirchheiner; Jürgen Brockmöller
Journal:  Clin Pharmacol Ther       Date:  2005-01       Impact factor: 6.875

10.  Impact of the ultrarapid metabolizer genotype of cytochrome P450 2D6 on metoprolol pharmacokinetics and pharmacodynamics.

Authors:  Julia Kirchheiner; Claudia Heesch; Steffen Bauer; Christian Meisel; Angela Seringer; Mark Goldammer; Mladen Tzvetkov; Ingolf Meineke; Ivar Roots; Jürgen Brockmöller
Journal:  Clin Pharmacol Ther       Date:  2004-10       Impact factor: 6.875

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