Galanin (1-15)-fluoxetine interaction in the novel object recognition test. Involvement of 5-HT1A receptors in the prefrontal cortex of the rats.


Journal

Neuropharmacology
ISSN: 1873-7064
Titre abrégé: Neuropharmacology
Pays: England
ID NLM: 0236217

Informations de publication

Date de publication:
01 09 2019
Historique:
received: 16 12 2018
revised: 07 04 2019
accepted: 18 05 2019
pubmed: 28 5 2019
medline: 29 2 2020
entrez: 26 5 2019
Statut: ppublish

Résumé

Galanin (1-15) [GAL(1-15)] participates in mood regulation and depression. GAL(1-15) is also able to enhance the antidepressant effects induced by Fluoxetine (FLX) in the forced swimming test through interaction between GALR1-GALR2 and 5-HT1A receptors that induced changes in the binding characteristics and mRNA of the 5-HT1AR in the hippocampus. Since the medial prefrontal cortex (mPFC) is a core region for the interaction between emotional processing and cognition with a high density of 5-HT1AR and GALR1 and GALR2, we have analyzed the binding characteristics and mRNA levels of 5-HT1AR in the mPFC after GAL(1-15)-FLX administration in the rats. GAL(1-15) increased the Kd and the Bmax of the 5HT1AR agonist binding in the mPFC as well as the mRNA levels of 5-HT1AR in mPFC. Moreover, GAL(1-15) reversed the effects of memory impairment induced by FLX(10 mg/kg) in the Novel Object Recognition task. GALR2 was involved in these effects, since the specific GALR2 antagonist M871 blocked GAL(1-15) mediated actions at behavioral level. On the contrary GAL(1-15) did not reverse the effect of FLX in the Object Location Memory task. In conclusion, our results describe an interactions between GAL(1-15) and FLX in the mPFC involving interactions at the 5-HT1AR receptor level in the plasma membrane with changes at the transcriptional level with implications also at functional level. The GALR1-GALR2-5-HT1A heteroreceptor could be postulated to be used to reverse some of the adverse effects of FLX on memory processes.

Identifiants

pubmed: 31128121
pii: S0028-3908(19)30178-9
doi: 10.1016/j.neuropharm.2019.05.023
pii:
doi:

Substances chimiques

Neuropeptides 0
Peptide Fragments 0
Serotonin Uptake Inhibitors 0
Fluoxetine 01K63SUP8D
Receptor, Serotonin, 5-HT1A 112692-38-3
galanin (1-15) 112747-70-3
Galanin 88813-36-9

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104-112

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Antonio Flores-Burgess (A)

Universidad de Málaga, Instituto de Investigación Biomédica de Málaga, Facultad de Medicina, Campus de Teatinos s/n, 29071, Málaga, Spain.

Carmelo Millón (C)

Universidad de Málaga, Instituto de Investigación Biomédica de Málaga, Facultad de Medicina, Campus de Teatinos s/n, 29071, Málaga, Spain.

Belen Gago (B)

Universidad de Málaga, Instituto de Investigación Biomédica de Málaga, Facultad de Medicina, Campus de Teatinos s/n, 29071, Málaga, Spain.

Laura García-Durán (L)

Universidad de Málaga, Instituto de Investigación Biomédica de Málaga, Facultad de Medicina, Campus de Teatinos s/n, 29071, Málaga, Spain.

Noelia Cantero-García (N)

Universidad de Málaga, Instituto de Investigación Biomédica de Málaga, Facultad de Medicina, Campus de Teatinos s/n, 29071, Málaga, Spain.

Rafael Coveñas (R)

University of Salamanca, Institute of Neurosciences of Castilla and León Laboratory of Neuroanatomy of the Peptidergic Systems (INCYL), Salamanca, Spain.

José Angel Narváez (JA)

Universidad de Málaga, Instituto de Investigación Biomédica de Málaga, Facultad de Medicina, Campus de Teatinos s/n, 29071, Málaga, Spain.

Kjell Fuxe (K)

Department of Neuroscience, Karolinska Institute, Stockholm, Sweden.

Luis Santín (L)

Universidad de Málaga, Instituto de Investigación Biomédica de Málaga, Facultad de Psicología, Campus de Teatinos s/n, 29071, Málaga, Spain.

Zaida Díaz-Cabiale (Z)

Universidad de Málaga, Instituto de Investigación Biomédica de Málaga, Facultad de Medicina, Campus de Teatinos s/n, 29071, Málaga, Spain. Electronic address: zaida@uma.es.

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Classifications MeSH