Literature DB >> 8982649

Raphe 5-HT1A autoreceptors, but not postsynaptic 5-HT1A receptors or beta-adrenoceptors, restrain the citalopram-induced increase in extracellular 5-hydroxytryptamine in vivo.

S Hjorth1, H J Bengtsson, S Milano.   

Abstract

In vivo microdialysis in rat ventral hippocampus was used (i) to verify the importance of 5-HT1A autoreceptors in the raphe as targets for drugs that enhance the citalopram-induced elevation of forebrain 5-hydroxytryptamine (5-HT), and (ii) to further examine the specificity of (-)-penbutolol in this regard. The selective 5-HT1A receptor antagonist WAY100635 (s.c., or intra-raphe) or the mixed 5-HT1A/1B/beta-adrenoceptor antagonist (-)-penbutolol (s.c.), potentiated the citalopram-induced 5-HT rise, whereas local "reverse' dialysis of WAY100635 into the ventral hippocampus did not. Furthermore, the (-)-penbutolol-induced augmentation proved stereoselective and not mediated by beta-adrenoceptors (no effect of s.c. (+)-penbutolol, or beta 1- and beta 2-adrenoceptor blockers (betaxolol, ICI118.551)). These data provide direct evidence that increased stimulation of 5-HT1A autoreceptors in the midbrain raphe impedes the effect of citalopram on forebrain extracellular 5-HT, whereas neither postsynaptic 5-HT1A receptors nor beta-adrenoceptors appear to be involved.

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Year:  1996        PMID: 8982649     DOI: 10.1016/s0014-2999(96)00779-0

Source DB:  PubMed          Journal:  Eur J Pharmacol        ISSN: 0014-2999            Impact factor:   4.432


  11 in total

Review 1.  5-HT(1A) [corrected] receptors in mood and anxiety: recent insights into autoreceptor versus heteroreceptor function.

Authors:  Alvaro L Garcia-Garcia; Adrian Newman-Tancredi; E David Leonardo
Journal:  Psychopharmacology (Berl)       Date:  2013-12-12       Impact factor: 4.530

Review 2.  Transcriptional regulation of the 5-HT1A receptor: implications for mental illness.

Authors:  Paul R Albert
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-09-05       Impact factor: 6.237

3.  Effects of (-)-tertatolol, (-)-penbutolol and (+/-)-pindolol in combination with paroxetine on presynaptic 5-HT function: an in vivo microdialysis and electrophysiological study.

Authors:  S E Gartside; E M Clifford; P J Cowen; T Sharp
Journal:  Br J Pharmacol       Date:  1999-05       Impact factor: 8.739

4.  Effects of chronic fluoxetine treatment in the presence and absence of (+/-)pindolol: a microdialysis study.

Authors:  L A Dawson; H Q Nguyen; D I Smith; L E Schechter
Journal:  Br J Pharmacol       Date:  2000-06       Impact factor: 8.739

5.  Acute effects of combining citalopram and pindolol on regional brain serotonin synthesis in sham operated and olfactory bulbectomized rats.

Authors:  Khanh Q Nguyen; Yoshihiro Tohyama; Arata Watanabe; Shu Hasegawa; Ivan Skelin; Mirko Diksic
Journal:  Neurochem Int       Date:  2008-11-27       Impact factor: 3.921

6.  Modifying 5-HT1A Receptor Gene Expression as a New Target for Antidepressant Therapy.

Authors:  Paul R Albert; Brice Le François
Journal:  Front Neurosci       Date:  2010-06-17       Impact factor: 4.677

7.  Inhibition of 5-HT neuron activity and induction of depressive-like behavior by high-frequency stimulation of the subthalamic nucleus.

Authors:  Yasin Temel; Laura J Boothman; Arjan Blokland; Peter J Magill; Harry W M Steinbusch; Veerle Visser-Vandewalle; Trevor Sharp
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-17       Impact factor: 11.205

Review 8.  Transcriptional dys-regulation in anxiety and major depression: 5-HT1A gene promoter architecture as a therapeutic opportunity.

Authors:  Paul R Albert; Laura M Fiori
Journal:  Curr Pharm Des       Date:  2014       Impact factor: 3.116

Review 9.  Transcriptional dysregulation of 5-HT1A autoreceptors in mental illness.

Authors:  Paul R Albert; Brice Le François; Anne M Millar
Journal:  Mol Brain       Date:  2011-05-27       Impact factor: 4.041

10.  The influence of the rs6295 gene polymorphism on serotonin-1A receptor distribution investigated with PET in patients with major depression applying machine learning.

Authors:  A Kautzky; G M James; C Philippe; P Baldinger-Melich; C Kraus; G S Kranz; T Vanicek; G Gryglewski; W Wadsak; M Mitterhauser; D Rujescu; S Kasper; R Lanzenberger
Journal:  Transl Psychiatry       Date:  2017-06-13       Impact factor: 6.222

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