Literature DB >> 25154506

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

Ming Chang1, Gunnel Tybring, Marja-Liisa Dahl, Jonatan D Lindh.   

Abstract

BACKGROUND: Citalopram and escitalopram, selective serotonin reuptake inhibitors, are primarily metabolized by cytochrome P450 (CYP) 2C19, which is a highly polymorphic enzyme known to cause inter-individual differences in pharmacokinetics. However, the impact of CYP2C19 polymorphisms on citalopram or escitalopram exposure has yet to be fully clarified, especially with regard to the quantitative impact of the CYP2C19*17 allele.
OBJECTIVE: The objective of this study was to quantify the effect of functional CYP2C19 allele variants on citalopram/escitalopram exposure.
METHODS: We performed a systematic review and meta-analysis with a structured search algorithm and eligibility criteria for including related studies, calculating the change of citalopram or escitalopram exposure associated with CYP2C19*2, *3, and *17 as compared with CYP2C19*1 using fixed-effect and random-effects models. Assessment of publication bias was performed by means of funnel plots and sensitivity analysis using meta-regressions. The pre-defined review protocol was registered at the PROSPERO international prospective register of systematic reviews, registration number CRD42013004106.
RESULTS: Sixteen studies from 14 publications met the inclusion criteria. Eligible studies included 847 patients from psychiatric patient trials and 140 healthy subjects from pharmacokinetic studies. Compared to subjects with the EM/EM (CYP2C19*1/*1) genotype, the exposure to (es)citalopram increased by 95 % (95 % CI 40-149, p < 0.0001) in the poor metabolizer (PM)/PM (CYP2C19*2 or *3/*2 or *3), 30 % (95 % CI 4-55, p < 0.05) in the extensive metabolizer (EM)/PM (CYP2C19*1/*2 or *3), and 25 % (95 % CI 1-49, p < 0.05) in the ultrarapid metabolizer (UM)/PM (CYP2C19*17/*2 or *3) groups. In contrast, the exposure to (es)citalopram decreased by 36 % (95 % CI 27-46, p < 0.0001) in the UM/UM (CYP2C19*17/*17) and by 14 % (95 % CI 1-27, p < 0.05) in the UM/EM (CYP2C19*17/*1).
INTERPRETATION: This is the first meta-analysis based on a systematic review of accumulated information that addresses the relationship between CYP2C19 genotypes and the exposure to citalopram or escitalopram. All functional CYP2C19 genotype groups demonstrated significant effects on (es)citalopram exposure. The findings based on our pooled analysis are likely to help in understanding the inter-individual variability in the exposure to citalopram and escitalopram in psychiatric patients and to facilitate dose selection, particularly for the homozygous carriers of CYP2C19*2 or *3 (loss of function) and CYP2C19*17 (gain of function) alleles. The results could improve individualization of citalopram or escitalopram therapy and could also be used for physiologically based pharmacokinetic modeling as well as pharmacokinetic/pharmacodynamic modeling.

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Year:  2014        PMID: 25154506     DOI: 10.1007/s40262-014-0162-1

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  26 in total

1.  Association between CYP2C19*17 and metabolism of amitriptyline, citalopram and clomipramine in Dutch hospitalized patients.

Authors:  A de Vos; J van der Weide; H M Loovers
Journal:  Pharmacogenomics J       Date:  2010-06-08       Impact factor: 3.550

2.  A common novel CYP2C19 gene variant causes ultrarapid drug metabolism relevant for the drug response to proton pump inhibitors and antidepressants.

Authors:  Sarah C Sim; Carl Risinger; Marja-Liisa Dahl; Eleni Aklillu; Magnus Christensen; Leif Bertilsson; Magnus Ingelman-Sundberg
Journal:  Clin Pharmacol Ther       Date:  2006-01       Impact factor: 6.875

3.  Heterozygous mutation in CYP2C19 significantly increases the concentration/dose ratio of racemic citalopram and escitalopram (S-citalopram).

Authors:  Ida Rudberg; Magnhild Hendset; Linda Hårstad Uthus; Espen Molden; Helge Refsum
Journal:  Ther Drug Monit       Date:  2006-02       Impact factor: 3.681

4.  CYP2C19 genotype predicts steady state escitalopram concentration in GENDEP.

Authors:  Patricia Huezo-Diaz; 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
Journal:  J Psychopharmacol       Date:  2011-09-17       Impact factor: 4.153

Review 5.  Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

Authors:  D F Stroup; J A Berlin; S C Morton; I Olkin; G D Williamson; D Rennie; D Moher; B J Becker; T A Sipe; S B Thacker
Journal:  JAMA       Date:  2000-04-19       Impact factor: 56.272

6.  Pharmacokinetics of citalopram in relation to genetic polymorphism of CYP2C19.

Authors:  Bang-Ning Yu; Guo-Lin Chen; Nan He; Dong-Sheng Ouyang; Xiao-Ping Chen; Zhao-Qian Liu; Hong-Hao Zhou
Journal:  Drug Metab Dispos       Date:  2003-10       Impact factor: 3.922

7.  Metabolism of citalopram enantiomers in CYP2C19/CYP2D6 phenotyped panels of healthy Swedes.

Authors:  Karin Herrlin; Norio Yasui-Furukori; Gunnel Tybring; Jolanta Widén; Lars L Gustafsson; Leif Bertilsson
Journal:  Br J Clin Pharmacol       Date:  2003-10       Impact factor: 4.335

8.  Pharmacokinetics of citalopram in relation to the sparteine and the mephenytoin oxidation polymorphisms.

Authors:  S H Sindrup; K Brøsen; M G Hansen; T Aaes-Jørgensen; K F Overø; L F Gram
Journal:  Ther Drug Monit       Date:  1993-02       Impact factor: 3.681

9.  Impact of the ultrarapid CYP2C19*17 allele on serum concentration of escitalopram in psychiatric patients.

Authors:  I Rudberg; B Mohebi; M Hermann; H Refsum; E Molden
Journal:  Clin Pharmacol Ther       Date:  2007-07-11       Impact factor: 6.875

10.  Pharmacokinetics and bioavailability comparison of generic and branded citalopram 20 mg tablets: an open-label, randomized-sequence, two-period crossover study in healthy Chinese CYP2C19 extensive metabolizers.

Authors:  Tao Jiang; Zhengxing Rong; Yiping Xu; Bing Chen; Yifan Xie; Congying Chen; Yang Lu; Yifeng Shen; Huafang Li; Jing Sun; Hongzhuan Chen
Journal:  Clin Drug Investig       Date:  2013-01       Impact factor: 2.859

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  27 in total

1.  Genetic polymorphisms and phenotypic analysis of drug-metabolizing enzyme CYP2C19 in a Li Chinese population.

Authors:  Yipeng Ding; Dongchuan Xu; Xiyang Zhang; Hua Yang; Tingting Geng; Ping He; Jinjian Yao; Shengyang Yi; Heping Xu; Duoyi Wu; Xiang Wang; Tianbo Jin
Journal:  Int J Clin Exp Pathol       Date:  2015-10-01

2.  Escitalopram pharmacogenetics: CYP2C19 relationships with dosing and clinical outcomes in autism spectrum disorder.

Authors:  Jeffrey R Bishop; Fedra Najjar; Leah H Rubin; Stephen J Guter; Thomas Owley; Matthew W Mosconi; Suma Jacob; Edwin H Cook
Journal:  Pharmacogenet Genomics       Date:  2015-11       Impact factor: 2.089

3.  A population pharmacokinetic model for escitalopram and its major metabolite in depressive patients during the perinatal period: Prediction of infant drug exposure through breast milk.

Authors:  Etienne Weisskopf; Monia Guidi; Céline J Fischer; Myriam Bickle Graz; Etienne Beaufils; Kim An Nguyen; Mathilde Morisod Harari; Sylvie Rouiller; Sophie Rothenburger; Pascal Gaucherand; Behrouz Kassai-Koupai; Cristina Borradori Tolsa; Manuella Epiney; Jean-François Tolsa; Yvan Vial; Jean-Michel Hascoët; Olivier Claris; Chin B Eap; Alice Panchaud; Chantal Csajka
Journal:  Br J Clin Pharmacol       Date:  2020-04-14       Impact factor: 4.335

4.  Quantitative methods for prediction of the effect of cytochrome P450 gene polymorphisms on substrate drug exposure: authors' reply.

Authors:  Jonatan D Lindh; Ming Chang; Gunnel Tybring; Marja-Liisa Dahl
Journal:  Clin Pharmacokinet       Date:  2015-03       Impact factor: 6.447

5.  Quantitative methods for prediction of the effect of cytochrome P450 gene polymorphisms on substrate drug exposure.

Authors:  Sylvain Goutelle; Michel Tod
Journal:  Clin Pharmacokinet       Date:  2015-03       Impact factor: 6.447

6.  Escitalopram population pharmacokinetics in people living with human immunodeficiency virus and in the psychiatric population: Drug-drug interactions and probability of target attainment.

Authors:  Perrine Courlet; Monia Guidi; Anaïs Glatard; Susana Alves Saldanha; Matthias Cavassini; Thierry Buclin; Catia Marzolini; Chin B Eap; Laurent A Decosterd; Chantal Csajka
Journal:  Br J Clin Pharmacol       Date:  2019-07-07       Impact factor: 4.335

7.  CYP2C19-Guided Escitalopram and Sertraline Dosing in Pediatric Patients: A Pharmacokinetic Modeling Study.

Authors:  Jeffrey R Strawn; Ethan A Poweleit; Laura B Ramsey
Journal:  J Child Adolesc Psychopharmacol       Date:  2019-02-28       Impact factor: 2.576

Review 8.  Pharmacogenomic Testing in Child and Adolescent Psychiatry: An Evidence-Based Review.

Authors:  Anna M Wehry; Laura Ramsey; Shane E Dulemba; Sarah A Mossman; Jeffrey R Strawn
Journal:  Curr Probl Pediatr Adolesc Health Care       Date:  2018-01-08

Review 9.  Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.

Authors:  Ramón Cacabelos; Vinogran Naidoo; Lola Corzo; Natalia Cacabelos; Juan C Carril
Journal:  Int J Mol Sci       Date:  2021-12-10       Impact factor: 5.923

Review 10.  The Influence of Pharmacogenetics on the Clinical Relevance of Pharmacokinetic Drug-Drug Interactions: Drug-Gene, Drug-Gene-Gene and Drug-Drug-Gene Interactions.

Authors:  Martina Hahn; Sibylle C Roll
Journal:  Pharmaceuticals (Basel)       Date:  2021-05-20
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