Individual differences in the neuroendocrine response of male rats to emotional stressors are not trait-like and strongly depend on the intensity of the stressors.


Journal

Psychoneuroendocrinology
ISSN: 1873-3360
Titre abrégé: Psychoneuroendocrinology
Pays: England
ID NLM: 7612148

Informations de publication

Date de publication:
03 2021
Historique:
received: 07 08 2020
revised: 18 11 2020
accepted: 03 01 2021
pubmed: 17 1 2021
medline: 24 12 2021
entrez: 16 1 2021
Statut: ppublish

Résumé

Biological response to stressors is critical to understand stress-related pathologies and vulnerability to psychiatric diseases. It is assumed that we can identify trait-like characteristics in biological responsiveness by testing subjects in a particular stressful situation, but there is scarce information on this issue. We then studied, in a normal outbred population of adult male rats (n = 32), the response of well-characterized stress markers (ACTH, corticosterone and prolactin) to different types of stressors: two novel environments (open-field, OF1 and OF2), an elevated platform (EP), forced swim (SWIM) and immobilization (IMO). Based on both plasma ACTH and prolactin levels, the OF1 was the lowest intensity situation, followed by the OF2 and the EP, then SWIM and finally IMO. When correlations between the individual responses to the different stressors were studied, the magnitude of the correlations was most dependent on the similarities in intensity rather than on other characteristics of stressors, with good correlations between similar intensity stressors and no correlations at all were found between stressors markedly differing in intensity. In two additional confirmatory experiments (n = 37 and n = 20) with HPA hormones, we observed good correlation between the response to restraint and IMO, which were close in intensity, and no correlation between OF1 and SWIM. The present results suggest that individual neuroendocrine response to a particular stressor does not predict the response to another stressor greatly differing in intensity, thus precluding characterization of low or high responsive individuals to any stressor in a normal population. The present data have important implications for human studies.

Identifiants

pubmed: 33453596
pii: S0306-4530(21)00001-9
doi: 10.1016/j.psyneuen.2021.105127
pii:
doi:

Substances chimiques

Adrenocorticotropic Hormone 9002-60-2
Prolactin 9002-62-4
Corticosterone W980KJ009P

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

105127

Informations de copyright

Copyright © 2021. Published by Elsevier Ltd.

Auteurs

Roser Nadal (R)

Institut de Neurociències, Universitat Autònoma de Barcelona, Spain; Psychobiology Unit, Faculty of Psychology, Universitat Autònoma de Barcelona, Spain; CIBERSAM, Spain.

Marina Gabriel-Salazar (M)

Institut de Neurociències, Universitat Autònoma de Barcelona, Spain; Animal Physiology Unit (Department of Cellular Biology, Physiology and Immunology), Faculty of Biosciences, Universitat Autònoma de Barcelona, Spain.

María Sanchís-Ollé (M)

Institut de Neurociències, Universitat Autònoma de Barcelona, Spain; Animal Physiology Unit (Department of Cellular Biology, Physiology and Immunology), Faculty of Biosciences, Universitat Autònoma de Barcelona, Spain.

Humberto Gagliano (H)

Institut de Neurociències, Universitat Autònoma de Barcelona, Spain; Animal Physiology Unit (Department of Cellular Biology, Physiology and Immunology), Faculty of Biosciences, Universitat Autònoma de Barcelona, Spain.

Xavier Belda (X)

Institut de Neurociències, Universitat Autònoma de Barcelona, Spain; Animal Physiology Unit (Department of Cellular Biology, Physiology and Immunology), Faculty of Biosciences, Universitat Autònoma de Barcelona, Spain.

Antonio Armario (A)

Institut de Neurociències, Universitat Autònoma de Barcelona, Spain; Animal Physiology Unit (Department of Cellular Biology, Physiology and Immunology), Faculty of Biosciences, Universitat Autònoma de Barcelona, Spain; CIBERSAM, Spain. Electronic address: Antonio.armario@uab.es.

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Classifications MeSH