| Literature DB >> 21926427 |
Patricia Huezo-Diaz1, Nader Perroud, Edgar P Spencer, Rebecca Smith, Sarah Sim, Susanne Virding, Rudolf Uher, Cerisse Gunasinghe, Jo Gray, Desmond Campbell, Joanna Hauser, Wolfgang Maier, Andrej Marusic, Marcella Rietschel, Jorge Perez, Caterina Giovannini, Ole Mors, Julien Mendlewicz, Peter McGuffin, Anne E Farmer, Magnus Ingelman-Sundberg, Ian W Craig, Katherine J Aitchison.
Abstract
In vitro work shows CYP2C19 and CYP2D6 contribute to the metabolism of escitalopram to its primary metabolite, N-desmethylescitalopram. We report the effect of CYP2C19 and CYP2D6 genotypes on steady state morning concentrations of escitalopram and N-desmethylescitalopram and the ratio of this metabolite to the parent drug in 196 adult patients with depression in GENDEP, a clinical pharmacogenomic trial. Subjects who had one CYP2D6 allele associated with intermediate metabolizer phenotype and one associated with poor metabolizer (i.e. IM/PM genotypic category) had a higher mean logarithm escitalopram concentration than CYP2D6 extensive metabolizers (EMs) (p = 0.004). Older age was also associated with higher concentrations of escitalopram. Covarying for CYP2D6 and age, we found those homozygous for the CYP2C19*17 allele associated with ultrarapid metabolizer (UM) phenotype had a significantly lower mean escitalopram concentration (2-fold, p = 0.0001) and a higher mean metabolic ratio (p = 0.0003) than EMs, while those homozygous for alleles conferring the PM phenotype had a higher mean escitalopram concentration than EMs (1.55-fold, p = 0.008). There was a significant overall association between CYP2C19 genotypic category and escitalopram concentration (p = 0.0003; p = 0.0012 Bonferroni corrected). In conclusion, we have demonstrated an association between CYP2C19 genotype, including the CYP2C19*17 allele, and steady state escitalopram concentration.Entities:
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Year: 2011 PMID: 21926427 DOI: 10.1177/0269881111414451
Source DB: PubMed Journal: J Psychopharmacol ISSN: 0269-8811 Impact factor: 4.153