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Topologically Guided Prioritization of Candidate Gene Transcripts Coexpressed with the 5-HT1A Receptor by Combining In Vivo PET and Allen Human Brain Atlas Data.

Authors :
Unterholzner J
Gryglewski G
Philippe C
Seiger R
Pichler V
Godbersen GM
Berroterán-Infante N
Murgaš M
Hahn A
Wadsak W
Mitterhauser M
Kasper S
Lanzenberger R
Source :
Cerebral cortex (New York, N.Y. : 1991) [Cereb Cortex] 2020 May 18; Vol. 30 (6), pp. 3771-3780.
Publication Year :
2020

Abstract

The serotonin-1A receptor (5-HT1AR) represents a viable target in the treatment of disorders of the brain. However, development of psychiatric drugs continues to be hindered by the relative inaccessibility of brain tissue. Although the efficacy of drugs selective for the 5-HT1AR has not been proven, research continues to focus on drugs that influence this receptor subtype. To further knowledge on this topic, we investigated the topological coexpression patterns of the 5-HT1AR. We calculated Spearman's rho for the correlation of positron emission tomography-binding potentials (BPND) of the 5-HT1AR assessed in 30 healthy subjects using the tracer [carbonyl-11C]WAY-100635 and predicted whole-brain mRNA expression of 18 686 genes. After applying a threshold of r > 0.3 in a leave-one-out cross-validation of the prediction of mRNA expression, genes with ρ ≥ 0.7 were considered to be relevant. In cortical regions, 199 genes showed high correlation with the BPND of the 5-HT1AR, in subcortical regions 194 genes. Using our approach, we could consolidate the role of BDNF and implicate new genes (AnxA8, NeuroD2) in serotonergic functioning. Despite its explorative nature, the analysis can be seen as a gene prioritization approach to reduce the number of genes potentially connected to 5-HT1AR functioning and guide future in vitro studies.<br /> (© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1460-2199
Volume :
30
Issue :
6
Database :
MEDLINE
Journal :
Cerebral cortex (New York, N.Y. : 1991)
Publication Type :
Academic Journal
Accession number :
31989157
Full Text :
https://doi.org/10.1093/cercor/bhz341