Literature DB >> 17620087

Pharmacogenomics and serotonergic agents: research observations and potential clinical practice implications.

M Camilleri1.   

Abstract

Pharmacogenomics of serotonin are potentially relevant in research and clinical practice. There are few proven examples of the importance of pharmacogenetics of serotonin-modifying agents used in functional gastrointestinal or motility disorders. Drug metabolism is dependent on function of the cytochrome P450 enzymes, such as 2D6 and 3A4. Genetic variations in transporters and translation mechanisms have been associated with responses to treatment in irritable bowel syndrome and in obesity. Research on the impact of polymorphisms of key proteins on the pharmacokinetics and pharmacodynamics of drugs that alter serotonin-mediated signalling will assist in explaining diverse responses to those drugs and ultimately improve clinical practice, individualizing medicine.

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Year:  2007        PMID: 17620087     DOI: 10.1111/j.1365-2982.2007.00961.x

Source DB:  PubMed          Journal:  Neurogastroenterol Motil        ISSN: 1350-1925            Impact factor:   3.598


  5 in total

Review 1.  Pharmacogenetics: potential role in the treatment of diabetes and obesity.

Authors:  Adrian Vella; Michael Camilleri
Journal:  Expert Opin Pharmacother       Date:  2008-05       Impact factor: 3.889

2.  Afferent hypersensitivity in a mouse model of post-inflammatory gut dysfunction: role of altered serotonin metabolism.

Authors:  Christopher Keating; Michael Beyak; Stephen Foley; Gulzar Singh; Charles Marsden; Robin Spiller; David Grundy
Journal:  J Physiol       Date:  2008-07-24       Impact factor: 5.182

3.  Duodenal epithelial transport in functional dyspepsia: Role of serotonin.

Authors:  Anne-Barbara Witte; Mauro D'Amato; Steen Seier Poulsen; Agneta Laurent; Svend Knuhtsen; Niels Bindslev; Mark Berner Hansen; Peter Thelin Schmidt
Journal:  World J Gastrointest Pathophysiol       Date:  2013-05-15

Review 4.  Depression and antidepressants: molecular and cellular aspects.

Authors:  Cristina Lanni; Stefano Govoni; Adele Lucchelli; Cinzia Boselli
Journal:  Cell Mol Life Sci       Date:  2009-06-12       Impact factor: 9.261

5.  Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics approach.

Authors:  Richard C McEachin; Benjamin J Keller; Erika F H Saunders; Melvin G McInnis
Journal:  BioData Min       Date:  2008-07-17       Impact factor: 2.522

  5 in total

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