Literature DB >> 19429471

Influence of sex and CYP2D6 genotype on mirtazapine disposition, evaluated in Spanish healthy volunteers.

Alberto M Borobia1, Jesús Novalbos, Pedro Guerra-López, Rosario López-Rodríguez, Beatriz Tabares, Vanesa Rodríguez, Francisco Abad-Santos, Antonio J Carcas.   

Abstract

AIMS: To evaluate the influence of sex and CYP2D6 genotype on mirtazapine disposition within two bioequivalence studies in healthy volunteers.
METHODS: Seventy-two healthy volunteers were included in two standard 2 x 2 crossover bioequivalence trials. Subjects received a single 30-mg oral dose of each mirtazapine formulation in each study period. Plasma concentrations were measured from 0 to 96 or 120 h by a HPLC with coupled mass spectrometry validated method. CYP2D6 genotyping was available for 68 subjects that were classified into three phenotypic groups depending on the number of active gene copies: extensive/ultrarapid metabolizers (UM-EM), intermediate (IM) and poor metabolizers (PM). To evaluate the influence of sex and genotype on mirtazapine disposition we performed a linear mixed model for repeated measures. Pharmacokinetic data were log-transformed and AUC and C(max) adjusted to the administered dose/weight. Factors included in the model were centre, formulation, period, sequence, sex and genotype as fixed effects, and subject nested sequence x sex x genotype as random one. A second model was also performed adding the interaction sex x genotype to the previous model.
RESULTS: Mirtazapine disposition evaluated as AUC(0-infinity) is influenced by sex (p=0.007) and CYP2D6 phenotype group (p=0.01). Attending to the theoretical figures provided by the model, mean (95% CI) dose/weight adjusted AUC(0-infinity) (ng h/ml)/(mg/kg) is 1516.62 (1411.27-1628.22) in EM/UM, 1613.63 (1482.14-1758.55) in IM and 2049.28 (1779.78-2357.24) in PM. In the case of C(max) these figures also show a trend to higher values in PM, but it did not reach statistical significance. Females show a lower dose/weight adjusted AUC(0-infinity): 1594.39 (1477.70-1720.28) vs. 1837.65 (1694.67-1992.70). On the contrary dose/weight adjusted C(max) is higher in females than in males: 38.33 (34.79-42.28) vs. 32.66 (29.44-36.21).
CONCLUSIONS: Both CYP2D6 genotype group and sex influence the disposition of mirtazapine in healthy volunteers and confirm reported data in the literature obtained by different methods. No sex-by-genotype interaction could be detected.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19429471     DOI: 10.1016/j.phrs.2009.02.006

Source DB:  PubMed          Journal:  Pharmacol Res        ISSN: 1043-6618            Impact factor:   7.658


  5 in total

Review 1.  Clinical association between pharmacogenomics and adverse drug reactions.

Authors:  Zhi-Wei Zhou; Xiao-Wu Chen; Kevin B Sneed; Yin-Xue Yang; Xueji Zhang; Zhi-Xu He; Kevin Chow; Tianxin Yang; Wei Duan; Shu-Feng Zhou
Journal:  Drugs       Date:  2015-04       Impact factor: 9.546

Review 2.  Pharmacotherapy for mood disorders in pregnancy: a review of pharmacokinetic changes and clinical recommendations for therapeutic drug monitoring.

Authors:  Kristina M Deligiannidis; Nancy Byatt; Marlene P Freeman
Journal:  J Clin Psychopharmacol       Date:  2014-04       Impact factor: 3.153

Review 3.  Gender differences in pharmacokinetics and pharmacodynamics of methadone substitution therapy.

Authors:  Manuela Graziani; Robert Nisticò
Journal:  Front Pharmacol       Date:  2015-06-09       Impact factor: 5.810

4.  Discontinuation and dose adjustment of metoprolol after metoprolol-paroxetine/fluoxetine co-prescription in Dutch elderly.

Authors:  Muh Akbar Bahar; Yuanyuan Wang; Jens H J Bos; Bob Wilffert; Eelko Hak
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-03-24       Impact factor: 2.890

5.  Impact of the CYP2D6 Genotype on Metoprolol Tolerance and Adverse Events in Elderly Chinese Patients With Cardiovascular Diseases.

Authors:  Jianqiao Chen; Jin Zheng; Zifan Zhu; Benchuan Hao; Miao Wang; Huiying Li; Yulun Cai; Shiqi Wang; Jun Li; Hongbin Liu
Journal:  Front Pharmacol       Date:  2022-04-06       Impact factor: 5.810

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.