Literature DB >> 27752945

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

Tristram A Lett1, Henrik Walter1, Eva J Brandl2,3.   

Abstract

Genetic variation underlies both the response to antidepressant treatment and the occurrence of side effects. Over the past two decades, a number of pharmacogenetic variants, among these the SCL6A4, BDNF, FKBP5, GNB3, GRIK4, and ABCB1 genes, have come to the forefront in this regard. However, small effects sizes, mixed results in independent samples, and conflicting meta-analyses results led to inherent difficulties in the field of pharmacogenetics translating these findings into clinical practice. Nearly all antidepressant pharmacogenetic variants have potentially pleiotropic effects in which they are associated with major depressive disorder, intermediate phenotypes involved in emotional processes, and brain areas affected by antidepressant treatment. The purpose of this article is to provide a comprehensive review of the advances made in the field of pharmacogenetics of antidepressant efficacy and side effects, imaging findings of antidepressant response, and the latest results in the expanding field of imaging-pharmacogenetics studies. We suggest there is mounting evidence that genetic factors exert their impact on treatment response by influencing brain structural and functional changes during antidepressant treatment, and combining neuroimaging and genetic methods may be a more powerful way to detect biological mechanisms of response than either method alone. The most promising imaging-pharmacogenetics findings exist for the SCL6A4 gene, with converging associations with antidepressant response, frontolimbic predictors of affective symptoms, and normalization of frontolimbic activity following antidepressant treatment. More research is required before imaging-pharmacogenetics informed personalized medicine can be applied to antidepressant treatment; nevertheless, inroads have been made towards assessing genetic and neuroanatomical liability and potential clinical application.

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Year:  2016        PMID: 27752945     DOI: 10.1007/s40263-016-0385-9

Source DB:  PubMed          Journal:  CNS Drugs        ISSN: 1172-7047            Impact factor:   5.749


  277 in total

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Journal:  Pharmacopsychiatry       Date:  2014-01-31       Impact factor: 5.788

4.  The combined effect of genetic polymorphisms and clinical parameters on treatment outcome in treatment-resistant depression.

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5.  Sequence variations of ABCB1, SLC6A2, SLC6A3, SLC6A4, CREB1, CRHR1 and NTRK2: association with major depression and antidepressant response in Mexican-Americans.

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7.  Genetic variability at HPA axis in major depression and clinical response to antidepressant treatment.

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8.  The FKBP5-gene in depression and treatment response--an association study in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Cohort.

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9.  Response to citalopram is not associated with SLC6A4 genotype in African-Americans and Caucasians with major depression.

Authors:  Russell E Poland; Ira M Lesser; Yu-Jui Yvonne Wan; Lev Gertsik; Jie Yao; Leslie J Raffel; Keh-Ming Lin; Hector F Myers
Journal:  Life Sci       Date:  2013-04-03       Impact factor: 5.037

10.  Functional genomics of serotonin receptor 2A (HTR2A): interaction of polymorphism, methylation, expression and disease association.

Authors:  Virginia R Falkenberg; Brian M Gurbaxani; Elizabeth R Unger; Mangalathu S Rajeevan
Journal:  Neuromolecular Med       Date:  2010-10-13       Impact factor: 3.843

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Review 1.  [Pharmacogenetics in psychiatry: state of the art].

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Journal:  Nervenarzt       Date:  2018-03       Impact factor: 1.214

2.  Editorial: Functional Dyspepsia Treatment: Trials and Tribulations of Targeted Strategies.

Authors:  Gregory S Sayuk
Journal:  Am J Gastroenterol       Date:  2017-06       Impact factor: 10.864

Review 3.  Four Actionable Bottlenecks and Potential Solutions to Translating Psychiatric Genetics Research: An Expert Review.

Authors:  Jessica L Bourdon; Rachel A Davies; Elizabeth C Long
Journal:  Public Health Genomics       Date:  2020-11-04       Impact factor: 2.000

4.  Exploratory genome-wide association analysis of response to ketamine and a polygenic analysis of response to scopolamine in depression.

Authors:  Wei Guo; Rodrigo Machado-Vieira; Sanjay Mathew; James W Murrough; Dennis S Charney; Matthew Grunebaum; Maria A Oquendo; Bashkim Kadriu; Nirmala Akula; Ioline Henter; Peixiong Yuan; Kathleen Merikangas; Wayne Drevets; Maura Furey; J John Mann; Francis J McMahon; Carlos A Zarate; Yin Yao Shugart
Journal:  Transl Psychiatry       Date:  2018-12-14       Impact factor: 6.222

Review 5.  The Serotonin Syndrome: From Molecular Mechanisms to Clinical Practice.

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  5 in total

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