منابع مشابه
Pharmacokinetics of citalopram in relation to genetic polymorphism of CYP2C19.
The study was designed to define the contribution of cytochrome p450 2C19 (CYP2C19) and cytochrome p450 3A4 (CYP3A4) to citalopram N-demethylation and to evaluate the relationship between the disposition of citalopram and CYP2C19 genotype. A single oral 40-mg dose of citalopram was administered to eight extensive metabolizers and five poor metabolizers recruited from 77 healthy Chinese voluntee...
متن کاملEnantioselective analysis of citalopram and escitalopram in postmortem blood together with genotyping for CYP2D6 and CYP2C19.
Citalopram is marketed as a racemate (50:50) mixture of the S(+)-enantiomer and R(-)-enantiomer and the active S(+)-enantiomer (escitalopram) that possess inhibitory effects. Citalopram was introduced in Sweden in 1992 and is the most frequently used antidepressant to date in Sweden. In 2002, escitalopram was introduced onto the Swedish market for treatment of depression and anxiety disorders. ...
متن کاملCyp2c19 Polymorphisms in Drug Metabolism and Response
Individuals vary widely in their response to drug treatment. After receiving doses of a drug that are recommended based on a population average, some patients could have an insufficient response, whereas others may experience adverse effects. Of the many factors causing variability in drug response across individuals, genetic polymorphism of drug-metabolizing enzymes is deemed to be one of the ...
متن کاملIdentification of a novel CYP2C19-mediated metabolic pathway of S-citalopram in vitro.
Systemic exposure of the antidepressant S-citalopram (escitalopram, SCIT) differs several-fold according to variable cytochrome P450 2C19 activity, demonstrating the importance of this enzyme for the metabolic clearance of SCIT in vivo. However, previous studies have indicated that the involvement of CYP2C19 in formation of the metabolite N-desmethyl S-citalopram (SDCIT) is limited. Therefore, ...
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ژورنال
عنوان ژورنال: Pharmacogenetics and Genomics
سال: 2011
ISSN: 1744-6872
DOI: 10.1097/fpc.0b013e328340bc5a