Literature DB >> 15861029

Pharmacogenetics in the treatment of depression: pharmacodynamic studies.

Alessandro Serretti1, Paola Artioli, Roberto Quartesan.   

Abstract

The pharmacological treatment of mood disorders has reduced their morbidity and improved mental health for millions of individuals worldwide, favouring a considerable reduction of the direct and indirect costs caused by these common pathologies. Unfortunately, not all individuals benefit, and 30-40% of patients do not show a complete response to treatment. Efficient clinical predictors are not available, although genetic factors are thought to play a substantial (but complex) role in the antidepressant response. Pharmacogenetics, which investigates the influence of genetic features on the pharmacological response, has gained increasing attention and holds great promise for clinical psychiatry. Here, a brief overview is provided on the various pharmacogenetic studies published to date that analyse the commonest treatments for depression: antidepressants, sleep deprivation and lithium salts.

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Year:  2005        PMID: 15861029     DOI: 10.1097/01213011-200502000-00001

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  13 in total

Review 1.  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

2.  Variation in the gene encoding the serotonin 2A receptor is associated with outcome of antidepressant treatment.

Authors:  Francis J McMahon; Silvia Buervenich; Dennis Charney; Robert Lipsky; A John Rush; Alexander F Wilson; Alexa J M Sorant; George J Papanicolaou; Gonzalo Laje; Maurizio Fava; Madhukar H Trivedi; Stephen R Wisniewski; Husseini Manji
Journal:  Am J Hum Genet       Date:  2006-03-20       Impact factor: 11.025

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

4.  Serotonin transporter genotype interacts with paroxetine plasma levels to influence depression treatment response in geriatric patients.

Authors:  Francis E Lotrich; Bruce G Pollock; Margaret Kirshner; Robert F Ferrell; Charles F Reynolds Iii
Journal:  J Psychiatry Neurosci       Date:  2008-03       Impact factor: 6.186

Review 5.  Pharmacogenetics of anxiolytic drugs.

Authors:  Arun K Tiwari; Renan P Souza; Daniel J Müller
Journal:  J Neural Transm (Vienna)       Date:  2009-05-12       Impact factor: 3.575

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

Authors:  Magnus Lekman; Gonzalo Laje; Dennis Charney; A John Rush; Alexander F Wilson; Alexa J M Sorant; Robert Lipsky; Stephen R Wisniewski; Husseini Manji; Francis J McMahon; Silvia Paddock
Journal:  Biol Psychiatry       Date:  2008-01-11       Impact factor: 13.382

7.  Pharmacogenetics of antidepressants.

Authors:  Concetta Crisafulli; Chiara Fabbri; Stefano Porcelli; Antonio Drago; Edoardo Spina; Diana De Ronchi; Alessandro Serretti
Journal:  Front Pharmacol       Date:  2011-02-16       Impact factor: 5.810

8.  Convergent animal and human evidence suggests the activin/inhibin pathway to be involved in antidepressant response.

Authors:  K Ganea; A Menke; M V Schmidt; S Lucae; G Rammes; C Liebl; D Harbich; V Sterlemann; C Storch; M Uhr; F Holsboer; E B Binder; I Sillaber; M B Müller
Journal:  Transl Psychiatry       Date:  2012-10-23       Impact factor: 6.222

Review 9.  Pharmacogenomics and migraine: possible implications.

Authors:  Peer Tfelt-Hansen; Kim Brøsen
Journal:  J Headache Pain       Date:  2008-01-24       Impact factor: 7.277

10.  Dissecting the determinants of depressive disorders outcome: an in depth analysis of two clinical cases.

Authors:  Alessandro Serretti; Raffaella Calati; Osmano Oasi; Diana De Ronchi; Cristina Colombo
Journal:  Ann Gen Psychiatry       Date:  2007-02-07       Impact factor: 3.455

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