Literature DB >> 11256586

Pharmacogenetic diagnostics of cytochrome P450 polymorphisms in clinical drug development and in drug treatment.

J Brockmöller1, J Kirchheiner, C Meisel, I Roots.   

Abstract

The current use and future perspectives of molecular genetic characterisation of cytochrome P450 enzymes (CYP) for drug development and drug treatment are summarised. CYP genes are highly polymorphic and the enzymes play a key role in the elimination of the majority of drugs from the human body. Frequent variants of some enzymes, CYP2A6, 2C9, 2C19 and 2D6, should be analysed in participants of clinical trials whenever these enzymes may play a role. It is suggested that a CYP genotype certificate is handed out to the volunteers or patients to avoid replicate analyses, and to allow that this information is available for future research and also for treatment with eventually needed drugs. Guidelines on what CYP alleles have to be analysed in drug development, as well as on analytical validation and CYP genotype data handling will be required. Treatment with several drugs may be improved by prior genotyping. The concepts and problems of CYP genotype-based clinical dose recommendations are presented and illustrated for selected drugs. The requirement for prospective trials on the medical and economic benefits of routine CYP genotyping is emphasised. Specific operationally defined recommendations dependent on genotype are a prerequisite for such studies and this review presents tentative CYP genotype-based dose recommendations systematically calculated from published data. Because of the multiplicity of factors involved, these doses will not be the optimal doses for each given individual, but should be more adequate than doses generally recommended for an average total population. Those CYP alleles and polymorphically metabolised drugs which are currently most interesting in drug development and drug treatment are reviewed, and more complete information is available from websites cited in this article.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11256586     DOI: 10.1517/14622416.1.2.125

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  25 in total

Review 1.  Ethical reflections on pharmacogenetics and DNA banking in a cohort of HIV-infected patients.

Authors:  Sandrine de Montgolfier; Grégoire Moutel; Nathalie Duchange; Ioannis Theodorou; Christian Hervé; Catherine Leport
Journal:  Pharmacogenetics       Date:  2002-12

2.  [Drug therapy of elderly patients from the viewpoint of the clinical pharmacologist].

Authors:  M Wehling; A Peiter
Journal:  Internist (Berl)       Date:  2003-08       Impact factor: 0.743

3.  Analysis of genetic variations in CYP2C9, CYP2C19, CYP2D6 and CYP3A5 genes using oligonucleotide microarray.

Authors:  Yuanyuan Dong; Huasheng Xiao; Qi Wang; Chunxiu Zhang; Xiuming Liu; Na Yao; Haihui Sheng; Haiyan Li
Journal:  Int J Clin Exp Med       Date:  2015-10-15

Review 4.  Role of cytochrome P450 activity in the fate of anticancer agents and in drug resistance: focus on tamoxifen, paclitaxel and imatinib metabolism.

Authors:  Bertrand Rochat
Journal:  Clin Pharmacokinet       Date:  2005       Impact factor: 6.447

Review 5.  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

Review 6.  [CYP2D6-, CYP2C9- and CYP2C19-based dose adjustments: when do they make sense?].

Authors:  A Seeringer; J Kirchheiner
Journal:  Internist (Berl)       Date:  2008-07       Impact factor: 0.743

7.  CYP2D6 allele frequencies, copy number variants, and tandems in the population of Hong Kong.

Authors:  Wing Chan; Man S Li; Senthil K Sundaram; Brian Tomlinson; Pik Y Cheung; Chi H Tzang
Journal:  J Clin Lab Anal       Date:  2018-08-01       Impact factor: 2.352

Review 8.  Implications of pharmacogenetics for individualizing drug treatment and for study design.

Authors:  Christian Meisel; Thomas Gerloff; Julia Kirchheiner; Przemyslaw M Mrozikiewicz; Przemyslaw Niewinski; Jürgen Brockmöller; Ivar Roots
Journal:  J Mol Med (Berl)       Date:  2003-03-15       Impact factor: 4.599

Review 9.  Addressing phenoconversion: the Achilles' heel of personalized medicine.

Authors:  Rashmi R Shah; Robert L Smith
Journal:  Br J Clin Pharmacol       Date:  2015-02       Impact factor: 4.335

10.  Determination of bleeding risk using genetic markers in patients taking phenprocoumon.

Authors:  Eva Hummers-Pradier; Stephan Hess; Ibrahim M Adham; Thomas Papke; Burkert Pieske; Michael M Kochen
Journal:  Eur J Clin Pharmacol       Date:  2003-05-01       Impact factor: 2.953

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.