Literature DB >> 22565785

Genetic variability of drug-metabolizing enzymes: the dual impact on psychiatric therapy and regulation of brain function.

J C Stingl1, J Brockmöller, R Viviani.   

Abstract

Polymorphic drug-metabolizing enzymes (DMEs) are responsible for the metabolism of the majority of psychotropic drugs. By explaining a large portion of variability in individual drug metabolism, pharmacogenetics offers a diagnostic tool in the burgeoning era of personalized medicine. This review updates existing evidence on the influence of pharmacogenetic variants on drug exposure and discusses the rationale for genetic testing in the clinical context. Dose adjustments based on pharmacogenetic knowledge are the first step to translate pharmacogenetics into clinical practice. However, also clinical factors, such as the consequences on toxicity and therapeutic failure, must be considered to provide clinical recommendations and assess the cost-effectiveness of pharmacogenetic treatment strategies. DME polymorphisms are relevant not only for clinical pharmacology and practice but also for research in psychiatry and neuroscience. Several DMEs, above all the cytochrome P (CYP) enzymes, are expressed in the brain, where they may contribute to the local biochemical homeostasis. Of particular interest is the possibility of DMEs playing a physiological role through their action on endogenous substrates, which may underlie the reported associations between genetic polymorphisms and cognitive function, personality and vulnerability to mental disorders. Neuroimaging studies have recently presented evidence of an effect of the CYP2D6 polymorphism on basic brain function. This review summarizes evidence on the effect of DME polymorphisms on brain function that adds to the well-known effects of DME polymorphisms on pharmacokinetics in explaining the range of phenotypes that are relevant to psychiatric practice.

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Year:  2012        PMID: 22565785     DOI: 10.1038/mp.2012.42

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  38 in total

Review 1.  [Personalized drug therapy based on genetics. Possibilities and examples from clinical practice].

Authors:  J C Stingl; K S Just; K Kaumanns; M Schurig-Urbaniak; C Scholl; D von Mallek; J Brockmöller
Journal:  Internist (Berl)       Date:  2016-03       Impact factor: 0.743

Review 2.  Impact of cytochrome P450 2C19 polymorphisms on citalopram/escitalopram exposure: a systematic review and meta-analysis.

Authors:  Ming Chang; Gunnel Tybring; Marja-Liisa Dahl; Jonatan D Lindh
Journal:  Clin Pharmacokinet       Date:  2014-09       Impact factor: 6.447

Review 3.  Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and CYP2C19 Genotypes and Dosing of Selective Serotonin Reuptake Inhibitors.

Authors:  J K Hicks; J R Bishop; K Sangkuhl; D J Müller; Y Ji; S G Leckband; J S Leeder; R L Graham; D L Chiulli; A LLerena; T C Skaar; S A Scott; J C Stingl; T E Klein; K E Caudle; A Gaedigk
Journal:  Clin Pharmacol Ther       Date:  2015-06-29       Impact factor: 6.875

Review 4.  Cytochrome P450-mediated drug metabolism in the brain.

Authors:  Sharon Miksys; Rachel F Tyndale
Journal:  J Psychiatry Neurosci       Date:  2013-05       Impact factor: 6.186

Review 5.  Clinical Pharmacogenetics Implementation Consortium guideline for CYP2D6 and CYP2C19 genotypes and dosing of tricyclic antidepressants.

Authors:  J K Hicks; J J Swen; C F Thorn; K Sangkuhl; E D Kharasch; V L Ellingrod; T C Skaar; D J Müller; A Gaedigk; J C Stingl
Journal:  Clin Pharmacol Ther       Date:  2013-01-16       Impact factor: 6.875

Review 6.  Challenges in pharmacogenetics.

Authors:  Ingolf Cascorbi; Oliver Bruhn; Anneke N Werk
Journal:  Eur J Clin Pharmacol       Date:  2013-05-03       Impact factor: 2.953

Review 7.  Use of magnetic resonance imaging in pharmacogenomics.

Authors:  Roberto Viviani; Marie-Louise Lehmann; Julia C Stingl
Journal:  Br J Clin Pharmacol       Date:  2014-04       Impact factor: 4.335

8.  A combined high CYP2D6-CYP2C19 metabolic capacity is associated with the severity of suicide attempt as measured by objective circumstances.

Authors:  E Peñas-Lledó; S Guillaume; M E G Naranjo; A Delgado; I Jaussent; H Blasco-Fontecilla; P Courtet; A LLerena
Journal:  Pharmacogenomics J       Date:  2014-08-12       Impact factor: 3.550

Review 9.  Implementation of Pharmacogenetics at Cincinnati Children's Hospital Medical Center: Lessons Learned Over 14 Years of Personalizing Medicine.

Authors:  Laura B Ramsey; Cynthia A Prows; Kejian Zhang; Shannon N Saldaña; Michael T Sorter; John P Pestian; Richard J Wenstrup; Alexander A Vinks; Tracy A Glauser
Journal:  Clin Pharmacol Ther       Date:  2018-07-29       Impact factor: 6.875

10.  Cytochrome P450 2D6 genotype affects the pharmacokinetics of controlled-release paroxetine in healthy Chinese subjects: comparison of traditional phenotype and activity score systems.

Authors:  Rui Chen; Haotian Wang; Jun Shi; Kai Shen; Pei Hu
Journal:  Eur J Clin Pharmacol       Date:  2015-05-13       Impact factor: 2.953

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