Literature DB >> 17913323

ABCB1 (MDR1) gene polymorphisms are associated with the clinical response to paroxetine in patients with major depressive disorder.

Masaki Kato1, Tsuyoshi Fukuda, Alessandro Serretti, Masataka Wakeno, Gaku Okugawa, Yuka Ikenaga, Yuka Hosoi, Yoshiteru Takekita, Laura Mandelli, Junichi Azuma, Toshihiko Kinoshita.   

Abstract

Variability in antidepressant response is due to genetic and environmental factors. Among genetic factors, the ones controlling for availability of the drug at the target site are interesting candidates. Multidrug resistance 1 (ABCB1, MDR1) gene encodes a blood-brain barrier transporter P-glycoprotein that plays an important role in controlling the passage of substances between the blood and brain. In the present study, we therefore examined the possible association of 3 functional ABCB1 polymorphisms (C3435T: rs1045642, G2677T/A: rs2032582 and C1236T: rs1128503) with response to paroxetine in a Japanese major depression sample followed for 6 weeks. Analysis of covariance at week 6 with baseline scores included in the model as covariate showed significant association of the non-synonymous SNP G2677T/A with treatment response to paroxetine (p=0.011). Furthermore, the wild variants haplotype (3435C-2677G-1236T) resulted associated with poor response (p=0.006). To our best knowledge, this study is the first suggestion of a possible association of ABCB1 variants with SSRIs response.

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Year:  2007        PMID: 17913323     DOI: 10.1016/j.pnpbp.2007.09.003

Source DB:  PubMed          Journal:  Prog Neuropsychopharmacol Biol Psychiatry        ISSN: 0278-5846            Impact factor:   5.067


  46 in total

Review 1.  Pharmacogenetics of antidepressant response.

Authors:  Stefano Porcelli; Antonio Drago; Chiara Fabbri; Sara Gibiino; Raffaella Calati; Alessandro Serretti
Journal:  J Psychiatry Neurosci       Date:  2011-03       Impact factor: 6.186

Review 2.  Reliability of In Vitro and In Vivo Methods for Predicting the Effect of P-Glycoprotein on the Delivery of Antidepressants to the Brain.

Authors:  Yi Zheng; Xijing Chen; Leslie Z Benet
Journal:  Clin Pharmacokinet       Date:  2016-02       Impact factor: 6.447

Review 3.  Pharmacogenetics in psychiatry: are we ready for widespread clinical use?

Authors:  Maria J Arranz; Shitij Kapur
Journal:  Schizophr Bull       Date:  2008-08-27       Impact factor: 9.306

Review 4.  The promise and reality of pharmacogenetics in psychiatry.

Authors:  Peter P Zandi; Jennifer T Judy
Journal:  Psychiatr Clin North Am       Date:  2010-03

Review 5.  Pharmacogenetics of major depressive disorder: top genes and pathways toward clinical applications.

Authors:  Chiara Fabbri; Alessandro Serretti
Journal:  Curr Psychiatry Rep       Date:  2015-07       Impact factor: 5.285

Review 6.  Pharmacogenetics and Imaging-Pharmacogenetics of Antidepressant Response: Towards Translational Strategies.

Authors:  Tristram A Lett; Henrik Walter; Eva J Brandl
Journal:  CNS Drugs       Date:  2016-12       Impact factor: 5.749

7.  ABCB1 (MDR1) predicts remission on P-gp substrates in chronic depression.

Authors:  A Ray; L Tennakoon; J Keller; J E Sarginson; H S Ryan; G M Murphy; L C Lazzeroni; M H Trivedi; J H Kocsis; C DeBattista; A F Schatzberg
Journal:  Pharmacogenomics J       Date:  2014-12-09       Impact factor: 3.550

8.  The ABCB1 transporter gene and antidepressant response.

Authors:  Eric J Peters; Victor Reus; Steven P Hamilton
Journal:  F1000 Biol Rep       Date:  2009-03-24

Review 9.  Blood-based biomarkers predicting response to antidepressants.

Authors:  Yasmin Busch; Andreas Menke
Journal:  J Neural Transm (Vienna)       Date:  2018-01-27       Impact factor: 3.575

10.  P-glycoprotein inhibition increases the brain distribution and antidepressant-like activity of escitalopram in rodents.

Authors:  Fionn E O'Brien; Richard M O'Connor; Gerard Clarke; Timothy G Dinan; Brendan T Griffin; John F Cryan
Journal:  Neuropsychopharmacology       Date:  2013-05-14       Impact factor: 7.853

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