Literature DB >> 26704739

Association of ABCB1 gene variants, plasma antidepressant concentration, and treatment response: Results from a randomized clinical study.

Barbara Breitenstein1, Sandra Scheuer2, Tanja Maria Brückl3, Jobst Meyer4, Marcus Ising5, Manfred Uhr6, Florian Holsboer7.   

Abstract

P-glycoprotein, encoded by the ABCB1 gene, functions as an ATP-driven efflux pump in the blood-brain barrier, extruding its substrates and thereby limiting their passage into the brain. ABCB1 polymorphisms predicted antidepressant drug response: Minor allele carriers of SNPs rs2032583 and rs2235015 had higher remission rates than major allele homozygotes. The aim of the current study was to evaluate an ABCB1 genotype-dependent efficacy of a quick dose escalation strategy. Depressed inpatients (n = 73) treated with antidepressants that are P-glycoprotein substrates were randomly assigned to a standard or high dose condition for 28 days. HAM-D scores, adverse effects and plasma antidepressant concentration were measured weekly and tested among two intronic SNPs rs2032583 and rs2235015. A treatment as usual control sample (n = 128) was retrospectively matched to the study group by gender, age, and diagnosis. There was a significant interaction of genotype x plasma antidepressant concentration: Minor allele carriers of rs2032583 [F(1,65) = 7.221, p = 0.009] and rs2235015 [F(1,65) = 4.939, p = 0.030] whose plasma drug concentration were within recommended range had a greater symptom reduction at study endpoint which exceeded the therapeutic benefit of the treatment as usual group [for rs2032583: F(1,163) = 4.366, p = 0.038]. Minor allele carriers of rs2032583 with high plasma drug levels had more sleep-related side effects than major allele homozygotes with high plasma drug levels. The treatment of MDD can be optimized by ABCB1 genotyping combined with monitoring of plasma drug concentrations: For minor allele carriers of rs2032583 and rs2235015, plasma antidepressant levels should not exceed the recommended range in order to obtain optimal treatment outcome.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ABCB1; Antidepressant treatment; MDR1; Major depressive disorder; P-glycoprotein; Side effects

Mesh:

Substances:

Year:  2015        PMID: 26704739     DOI: 10.1016/j.jpsychires.2015.11.010

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  18 in total

Review 1.  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

Review 2.  Progress in Elucidating Biomarkers of Antidepressant Pharmacological Treatment Response: A Systematic Review and Meta-analysis of the Last 15 Years.

Authors:  G Voegeli; M L Cléry-Melin; N Ramoz; P Gorwood
Journal:  Drugs       Date:  2017-12       Impact factor: 9.546

3.  Pharmacogenetic/Pharmacogenomic Tests for Treatment Prediction in Depression.

Authors:  Farhana Islam; Ilona Gorbovskaya; Daniel J Müller
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 4.  [Genetic tests for controlling treatment with antidepressants].

Authors:  T Bschor; C Baethge; C Hiemke; B Müller-Oerlinghausen
Journal:  Nervenarzt       Date:  2017-05       Impact factor: 1.214

Review 5.  Rapid evidence review of the comparative effectiveness, harms, and cost-effectiveness of pharmacogenomics-guided antidepressant treatment versus usual care for major depressive disorder.

Authors:  Kimberly Peterson; Eric Dieperink; Johanna Anderson; Erin Boundy; Lauren Ferguson; Mark Helfand
Journal:  Psychopharmacology (Berl)       Date:  2017-04-29       Impact factor: 4.530

6.  Genetic Variations Associated with Long-Term Treatment Response in Bipolar Depression.

Authors:  Gerard Anmella; Silvia Vilches; Jordi Espadaler-Mazo; Andrea Murru; Isabella Pacchiarotti; Miquel Tuson; Marina Garriga; Eva Solé; Mercè Brat; Giovanna Fico; Eduard Vieta
Journal:  Genes (Basel)       Date:  2021-08-18       Impact factor: 4.096

7.  The Influence of ABCB1 (rs1045642 and rs4148738) Gene Polymorphisms on Rivaroxaban Pharmacokinetics in Patients Aged 80 Years and Older with Nonvalvular Atrial Fibrillation.

Authors:  Dmitry Sychev; Olga Ostroumova; Marina Cherniaeva; Nataliia Shakhgildian; Karin Mirzaev; Sherzod Abdullaev; Natalia Denisenko; Zhannet Sozaeva; Anastasia Kachanova; Svetlana Gorbatenkova; Vera Shastina
Journal:  High Blood Press Cardiovasc Prev       Date:  2022-08-12

8.  Clinical Implementation of Pharmacogenetic Decision Support Tools for Antidepressant Drug Prescribing.

Authors:  Zane Zeier; Linda L Carpenter; Ned H Kalin; Carolyn I Rodriguez; William M McDonald; Alik S Widge; Charles B Nemeroff
Journal:  Am J Psychiatry       Date:  2018-04-25       Impact factor: 18.112

9.  PharmGKB summary: sertraline pathway, pharmacokinetics.

Authors:  Rachel Huddart; J Kevin Hicks; Laura B Ramsey; Jeffrey R Strawn; D Max Smith; Margarita Bobonis Babilonia; Russ B Altman; Teri E Klein
Journal:  Pharmacogenet Genomics       Date:  2020-02       Impact factor: 2.000

10.  Effects of ABCB1 gene polymorphism on the efficacy of antidepressant drugs: A protocol for systematic review and meta-analysis.

Authors:  Xiaoying Zheng; Zejuan Fu; Xiaomei Chen; Mingxia Wang; Rixia Zhu
Journal:  Medicine (Baltimore)       Date:  2021-07-16       Impact factor: 1.817

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