Literature DB >> 15111987

The pharmacogenomics of selective serotonin reuptake inhibitors.

A Serretti1, P Artioli.   

Abstract

The introduction of selective serotonin (5-HT) reuptake inhibitors (SSRIs) has significantly improved the pharmacological treatment of a range of psychiatric disorders. Nevertheless, despite the undoubted advantages of antidepressant treatment in terms of improved tolerability to therapy while maintaining a high level of efficacy, not all patients benefit from it; an appreciable proportion do not respond adequately, while others may show adverse reactions. The necessary change of the initial treatment choice often requires extended periods for the remission of symptomatology. Such difficulties could be avoided if it should be possible to determine more quickly the most suitable drug. Several factors have been thought to influence the outcome of antidepressant therapy. Among the factors influencing the interindividual variability in response to treatment with SSRI, differences in genetic features may play a significant role. Several genetic polymorphisms have been associated with therapeutic SSRI response, including genetic variants of the 5-HT transporter, 5-HT-2A-receptor, tryptophan hydroxylase, brain-derived neurotrophic factor, G-protein beta3 subunit, interleukin-1beta and angiotensin-converting enzyme, although with conflicting results; also cytochrome P450 drug-metabolising enzymes may bear a particular importance, although further corroboration of the findings is necessary, and further key participating genes remain to be identified. The hope is that the identification of these genetic components will eventually facilitate the development of a customised SSRI treatment.

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Year:  2004        PMID: 15111987     DOI: 10.1038/sj.tpj.6500250

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  18 in total

Review 1.  A case study of the utility of the HapMap database for pharmacogenomic haplotype analysis in the Taiwanese population.

Authors:  Eugene Lin; Yuchi Hwang; Chi-Meng Tzeng
Journal:  Mol Diagn Ther       Date:  2006       Impact factor: 4.074

2.  Transgenic elimination of high-affinity antidepressant and cocaine sensitivity in the presynaptic serotonin transporter.

Authors:  Brent J Thompson; Tammy Jessen; L K Henry; Julie R Field; Karen L Gamble; Paul J Gresch; Ana M Carneiro; Rebecca E Horton; Peter J Chisnell; Yekaterina Belova; Douglas G McMahon; Lynette C Daws; Randy D Blakely
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-31       Impact factor: 11.205

3.  Catechol O-methyltransferase pharmacogenomics and selective serotonin reuptake inhibitor response.

Authors:  Y Ji; J Biernacka; K Snyder; M Drews; L L Pelleymounter; C Colby; L Wang; D A Mrazek; R M Weinshilboum
Journal:  Pharmacogenomics J       Date:  2010-09-28       Impact factor: 3.550

4.  Pharmacogenetics of citalopram-related side effects in children with depression and/or anxiety disorders.

Authors:  Maya Amitai; Sefi Kronenberg; Miri Carmel; Elena Michaelovsky; Amos Frisch; David Brent; Alan Apter; Alon Chen; Abraham Weizman; Silvana Fennig
Journal:  J Neural Transm (Vienna)       Date:  2016-06-20       Impact factor: 3.575

5.  Citalopram and escitalopram plasma drug and metabolite concentrations: genome-wide associations.

Authors:  Yuan Ji; Daniel J Schaid; Zeruesenay Desta; Michiaki Kubo; Anthony J Batzler; Karen Snyder; Taisei Mushiroda; Naoyuki Kamatani; Evan Ogburn; Daniel Hall-Flavin; David Flockhart; Yusuke Nakamura; David A Mrazek; Richard M Weinshilboum
Journal:  Br J Clin Pharmacol       Date:  2014-08       Impact factor: 4.335

6.  HTR2A is associated with SSRI response in major depressive disorder in a Japanese cohort.

Authors:  Taro Kishi; Reiji Yoshimura; Tsuyoshi Kitajima; Tomo Okochi; Takenori Okumura; Tomoko Tsunoka; Yoshio Yamanouchi; Yoko Kinoshita; Kunihiro Kawashima; Hiroshi Naitoh; Jun Nakamura; Norio Ozaki; Nakao Iwata
Journal:  Neuromolecular Med       Date:  2009-11-24       Impact factor: 3.843

Review 7.  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

8.  Mice genetically depleted of brain serotonin do not display a depression-like behavioral phenotype.

Authors:  Mariana Angoa-Pérez; Michael J Kane; Denise I Briggs; Nieves Herrera-Mundo; Catherine E Sykes; Dina M Francescutti; Donald M Kuhn
Journal:  ACS Chem Neurosci       Date:  2014-08-12       Impact factor: 4.418

9.  SLC6A4 variation and citalopram response.

Authors:  D A Mrazek; A J Rush; J M Biernacka; D J O'Kane; J M Cunningham; E D Wieben; D J Schaid; M S Drews; V L Courson; K A Snyder; J L Black; R M Weinshilboum
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2009-04-05       Impact factor: 3.568

10.  Epistasis between IL1A, IL1B, TNF, HTR2A, 5-HTTLPR and TPH2 variations does not impact alcohol dependence disorder features.

Authors:  Antonio Drago; Ioannis Liappas; Carmine Petio; Diego Albani; Gianluigi Forloni; Petros Malitas; Christina Piperi; Antonis Politis; Elias O Tzavellas; Katerina K Zisaki; Francesca Prato; Sara Batelli; Letizia Polito; Diana De Ronchi; Thomas Paparrigopoulos; Anastasios Kalofoutis; Alessandro Serretti
Journal:  Int J Environ Res Public Health       Date:  2009-07-16       Impact factor: 3.390

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