Literature DB >> 31476355

Effect of alpha-NETA on auditory event related potentials in sensory gating study paradigm in mice.

Aleksander A Aleksandrov1, Elena S Dmitrieva1, Anna B Volnova2, Veronika M Knyazeva3, Nadezhda V Polyakova1, Maria A Ptukha2, Raul R Gainetdinov4.   

Abstract

The potential contribution of trace amines (TA) to the pathophysiology of neuropsychiatric disorders makes it interesting to examine the effect of TA receptor ligands on schizophrenia biomarkers. We studied the effect of systemic administration of a putative Trace Amine-Associated Receptor 5 (TAAR5) agonist, alpha-NETA (2-(alpha-naphthoyl) ethyltrimethylammonium iodide), on the amplitude of the N40 event related potentials component and on the sensory gating (SG) index in C57BL/6 mice. It was found that low doses of alpha-NETA (2.5 mg/kg and 5 mg/kg) do not elicit a significant effect on the parameters of the N40 component and the SG index. However, the higher dose of alpha-NETA (10 mg/kg) induces a significant effect on the N40 component, but since a decrease in amplitude is observed on both the first and second stimuli in the pair, the SG index does not change. Thus, alpha-NETA administration causes a steady decrease in the N40 amplitude in response to both the first and second stimuli in the paired-click paradigm, and an increase in the N40 peak latency.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alpha-NETA; Event related potentials; N40; Sensory gating; TAAR5

Year:  2019        PMID: 31476355     DOI: 10.1016/j.neulet.2019.134470

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  2 in total

1.  Improved cognitive performance in trace amine-associated receptor 5 (TAAR5) knock-out mice.

Authors:  Silvia Maggi; Carlotta Bon; Stefano Gustincich; Valter Tucci; Raul R Gainetdinov; Stefano Espinoza
Journal:  Sci Rep       Date:  2022-08-29       Impact factor: 4.996

2.  Discovery of Novel Trace Amine-Associated Receptor 5 (TAAR5) Antagonists Using a Deep Convolutional Neural Network.

Authors:  Carlotta Bon; Ting-Rong Chern; Elena Cichero; Terrence E O'Brien; Stefano Gustincich; Raul R Gainetdinov; Stefano Espinoza
Journal:  Int J Mol Sci       Date:  2022-03-14       Impact factor: 5.923

  2 in total

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