Early metabolic and transcriptomic regulation in rainbow trout (Oncorhynchus mykiss) liver by 11-deoxycorticosterone through two corticosteroid receptors pathways.

DOC Glucocorticoid receptor Liver Mineralocorticoid receptor RNA-seq

Journal

Comparative biochemistry and physiology. Part A, Molecular & integrative physiology
ISSN: 1531-4332
Titre abrégé: Comp Biochem Physiol A Mol Integr Physiol
Pays: United States
ID NLM: 9806096

Informations de publication

Date de publication:
18 Sep 2024
Historique:
received: 11 07 2024
revised: 27 08 2024
accepted: 16 09 2024
medline: 21 9 2024
pubmed: 21 9 2024
entrez: 20 9 2024
Statut: aheadofprint

Résumé

Cortisol hormone is considered the main corticosteroid in fish stress, acting through glucocorticoid (GR) or mineralocorticoid (MR) receptor. The 11-deoxycorticosterone (DOC) corticosteroid is also secreted during stress and could complement the cortisol effects, but this still not fully understood. Hence, we evaluated the early transcriptomic response of rainbow trout (Oncorhynchus mykiss) liver by DOC through GR or MR. Thirty juvenile trout were pretreated with an inhibitor of endogenous cortisol synthesis (metyrapone) by intraperitoneal injection in presence or absence of GR (mifepristone) and MR (eplerenone) pharmacological antagonists for one hour. Then, fish were treated with a physiological DOC dose or vehicle (DMSO-PBS1X as control) for three hours (n = 5 per group). We measured several metabolic parameters in plasma, together with the liver glycogen content. Additionally, we constructed cDNA libraries from liver of each group, sequenced by HiseqX Illumina technology and then analyzed by RNA-seq. Plasma pyruvate and cholesterol levels decreased in DOC-administered fish and only reversed by eplerenone. Meanwhile, DOC increased liver glycogen contents depending on both corticosteroid receptor pathways. RNA-seq analysis revealed differential expressed transcripts induced by DOC through GR (448) and MR (1901). The enriched biological processes to both were mainly related to stress response, protein metabolism, innate immune response and carbohydrates metabolism. Finally, we selected sixteen genes from enriched biological process for qPCR validation, presenting a high Pearson correlation (0.8734 average). These results describe novel physiological effects of DOC related to early metabolic and transcriptomic responses in fish liver and differentially modulated by MR and GR.

Identifiants

pubmed: 39304115
pii: S1095-6433(24)00173-9
doi: 10.1016/j.cbpa.2024.111746
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111746

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Rodrigo Zuloaga (R)

Programa de Doctorado en Biotecnología, Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago, Chile; Universidad Andres Bello, Facultad de Ciencias de la Vida, Departamento de Ciencias Biológicas, 8370146 Santiago, Chile; Interdisciplinary Center for Aquaculture Research (INCAR), 4030000 Concepción, Chile.

Luciano Ahumada-Langer (L)

Universidad Andres Bello, Facultad de Ciencias de la Vida, Departamento de Ciencias Biológicas, 8370146 Santiago, Chile.

Jorge Eduardo Aedo (JE)

Departamento de Biología y Química, Facultad de Ciencias Básicas, Universidad Católica del Maule, Talca 3466706, Chile.

Alfredo Molina (A)

Universidad Andres Bello, Facultad de Ciencias de la Vida, Departamento de Ciencias Biológicas, 8370146 Santiago, Chile; Interdisciplinary Center for Aquaculture Research (INCAR), 4030000 Concepción, Chile.

Juan Antonio Valdés (JA)

Universidad Andres Bello, Facultad de Ciencias de la Vida, Departamento de Ciencias Biológicas, 8370146 Santiago, Chile; Interdisciplinary Center for Aquaculture Research (INCAR), 4030000 Concepción, Chile. Electronic address: jvaldes@unab.cl.

Classifications MeSH