首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Pharmacoproteomic investigation into antidepressant response in two mouse inbred strains
Authors:Malki Karim  Campbell James  Davies Matthew  Keers Robert  Uher Rudolf  Ward Malcolm  Paya-Cano Jose  Aitchinson Katherine J  Binder Elke  Sluyter Frans  Kuhn Karsten  Selzer Stefan  Craig Ian  McGuffin Peter  Schalkwyk Leonard C
Institution:King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK.
Abstract:In this study, we present a pharmacoproteomic investigation of response to antidepressants two inbred strains. Our aim was to uncover molecular mechanisms underlying antidepressant action and identify new biomarkers to determine therapeutic response to two antidepressants with proven efficacy in the treatment of depression but divergent mechanisms of action. Mice were treated with the pro-noradrenergic drug nortriptyline, the pro-serotonergic drug escitalopram or saline. Quantitative proteomic analyses were undertaken on hippocampal tissue from a study design that used two inbred mouse strains, two depressogenic protocols and a control condition, (maternal separation, chronic mild stress, control), two antidepressant drugs and two dosing protocols. The proteomic analysis was aimed at the identification of specific drug-response markers. Complementary approaches, 2DE and isobaric tandem mass tagging (TMT), were applied to the selected experimental groups. To investigate the relationship between proteomic profiles, depressogenic protocols and drug response, 2DE and TMT data sets were analysed using multivariate methods. The results highlighted significant strain- and stress-related differences across both 2DE and TMT data sets and identified the three gene products involved in serotonergic (PXBD5, YHWAB, SLC25A4) and one in noradrenergic antidepressant action (PXBD6).
Keywords:Animal proteomics  Antidepressants  Escitalopram  GENDEP  Nortriptyline  Pharmacoproteomics
本文献已被 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号