Literature DB >> 16354123

Pharmacogenomics: a path to predictive medicine for schizophrenia.

Simone Gupta1, Sanjeev Jain, Samir K Brahmachari, Ritushree Kukreti.   

Abstract

A significant variability is observed among patients in response to antipsychotics, and is caused by a variety of factors. This review summarizes the available knowledge of associations between pharmacogenetics and drug response in schizophrenia. The multifactorial etiology of schizophrenia makes it a complex interaction of symptoms. Adopting a pharmacogenomics approach represents a unique opportunity for the prediction of response to antipsychotic drugs by investigating genes implicated with specific symptoms and side effects. A network model of the interaction/crosstalk between the neurotransmitter signaling systems is presented to emphasize the importance of the genes associated with the molecular mechanisms of the disease and drug response. These genes may serve as potential susceptibility genes and drug targets for schizophrenia. The crucial point for the identification of a significant biologic marker(s) will include not only the experimental validation of the genes involved in the neurotransmitter signaling systems, but also the availability of large exactly comparable phenotyped patients samples. Coupling our knowledge of genetic polymorphisms with clinical response data promises a bright future for rapid advances in personalized medicine.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16354123     DOI: 10.2217/14622416.7.1.31

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


  11 in total

1.  Exploring schizophrenia drug-gene interactions through molecular network and pathway modeling.

Authors:  Daniel K Putnam; Jingchun Sun; Zhongming Zhao
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 2.  Pharmacogenetic treatments for drug addiction: cocaine, amphetamine and methamphetamine.

Authors:  Colin N Haile; Thomas R Kosten; Therese A Kosten
Journal:  Am J Drug Alcohol Abuse       Date:  2009       Impact factor: 3.829

Review 3.  Promise of personalized omics to precision medicine.

Authors:  Rui Chen; Michael Snyder
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2012-11-26

Review 4.  Addiction pharmacogenetics: a systematic review of the genetic variation of the dopaminergic system.

Authors:  Michelle A Patriquin; Isabelle E Bauer; Jair C Soares; David P Graham; David A Nielsen
Journal:  Psychiatr Genet       Date:  2015-10       Impact factor: 2.458

5.  Pharmacogenetics of Addiction Therapy.

Authors:  David P Graham; Mark J Harding; David A Nielsen
Journal:  Methods Mol Biol       Date:  2022

6.  Medications Development for the Treatment of Nicotine Dependence in Individuals with Schizophrenia.

Authors:  Ivan D Montoya; Frank Vocci
Journal:  J Dual Diagn       Date:  2007-11

7.  Analysis on evolution and research focus in psychiatry field.

Authors:  Ying Wu; Zhiguang Duan
Journal:  BMC Psychiatry       Date:  2015-05-07       Impact factor: 3.630

8.  Visualization analysis of author collaborations in schizophrenia research.

Authors:  Ying Wu; Zhiguang Duan
Journal:  BMC Psychiatry       Date:  2015-02-19       Impact factor: 3.630

9.  Analysis on international scientific collaboration and research focus on depression field.

Authors:  Ying Wu; Chao Long; Zhi-Guang Duan
Journal:  Chin Med J (Engl)       Date:  2015-03-05       Impact factor: 2.628

10.  Personal genomes, quantitative dynamic omics and personalized medicine.

Authors:  George I Mias; Michael Snyder
Journal:  Quant Biol       Date:  2013-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.