Literature DB >> 22380000

Pharmacogenetics of antidepressant drugs: current clinical practice and future directions.

Sneha Narasimhan1, Falk W Lohoff.   

Abstract

While antidepressants are widely used to treat mood and anxiety disorders, only half of the patients will respond to antidepressant treatment and only one-third of patients experience a full remission of symptoms. The identification of genetic biomarkers that predict antidepressant-treatment response can improve current clinical practice. This is an emerging field known as pharmacogenetics, which comprises of genetic studies on both the pharmacokinetics and pharmacodynamics of treatment response. Recent studies on antidepressant-treatment response have focused on both aspects of pharmacogenetics research, identifying new candidate genes that may predict better treatment response for patients. This paper reviews recent findings on the pharmacogenetics of antidepressant drugs and future clinical applications. Ultimately, these studies should lead to the use of genetic testing to guide the use of antidepressants in clinical practice.

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Year:  2012        PMID: 22380000     DOI: 10.2217/pgs.12.1

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  9 in total

1.  Serotonin transporter gene: a new polymorphism may affect response to antidepressant treatments in major depressive disorder.

Authors:  Yoshihiko Matsumoto; Chiara Fabbri; Silvia Pellegrini; Stefano Porcelli; Pierluigi Politi; Silvio Bellino; Caterina Iofrida; Veronica Mariotti; Erika Melissari; Marco Menchetti; Valentina Martinelli; Marco Cappucciati; Paola Bozzatello; Elena Brignolo; Paolo Brambilla; Matteo Balestrieri; Alessandro Serretti
Journal:  Mol Diagn Ther       Date:  2014-10       Impact factor: 4.074

2.  Epigenetic Modulation of Mood Disorders.

Authors:  T Archer; M Oscar-Berman; K Blum; Ms Gold
Journal:  J Genet Syndr Gene Ther       Date:  2013-02-11

Review 3.  Mechanisms of antidepressant resistance.

Authors:  Wissam El-Hage; Samuel Leman; Vincent Camus; Catherine Belzung
Journal:  Front Pharmacol       Date:  2013-11-22       Impact factor: 5.810

Review 4.  Neuroimaging studies of depressive disorders in China since 2000.

Authors:  Yingying Yin; Yonggui Yuan
Journal:  Shanghai Arch Psychiatry       Date:  2014-06

Review 5.  Insights into the Promising Prospect of G Protein and GPCR-Mediated Signaling in Neuropathophysiology and Its Therapeutic Regulation.

Authors:  Md Mominur Rahman; Md Rezaul Islam; Sadia Afsana Mim; Nasrin Sultana; Dinesh Kumar Chellappan; Kamal Dua; Mohammad Amjad Kamal; Rohit Sharma; Talha Bin Emran
Journal:  Oxid Med Cell Longev       Date:  2022-09-21       Impact factor: 7.310

6.  Serotonin 2A receptor gene (HTR2A) regulatory variants: possible association with severity of depression symptoms in children with autism spectrum disorder.

Authors:  Kenneth D Gadow; Ryan M Smith; Julia K Pinsonneault
Journal:  Cogn Behav Neurol       Date:  2014-06       Impact factor: 1.600

7.  Influence of Serotonin Transporter Gene Polymorphisms and Adverse Life Events on Depressive Symptoms in the Elderly: A Population-Based Study.

Authors:  Annalisa Davin; Maria Cristina Monti; Letizia Polito; Roberta Vaccaro; Simona Abbondanza; Marco Gnesi; Simona Villani; Antonio Guaita
Journal:  PLoS One       Date:  2015-11-23       Impact factor: 3.240

Review 8.  Coding and noncoding gene expression biomarkers in mood disorders and schizophrenia.

Authors:  Firoza Mamdani; Maureen V Martin; Todd Lencz; Brandi Rollins; Delbert G Robinson; Emily A Moon; Anil K Malhotra; Marquis P Vawter
Journal:  Dis Markers       Date:  2013-07-21       Impact factor: 3.434

Review 9.  Omics-Based Biomarkers: Application of Metabolomics in Neuropsychiatric Disorders.

Authors:  Sumit Sethi; Elisa Brietzke
Journal:  Int J Neuropsychopharmacol       Date:  2015-10-09       Impact factor: 5.176

  9 in total

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