Saliva and plasma metabolome changes during anoestrus, the oestrous cycle and early gestation in the mare: A pilot study.

Equine Follicular phase Luteal phase Nuclear magnetic resonance spectroscopy Pregnancy Seasonal anoestrus

Journal

Theriogenology
ISSN: 1879-3231
Titre abrégé: Theriogenology
Pays: United States
ID NLM: 0421510

Informations de publication

Date de publication:
08 Aug 2024
Historique:
received: 29 02 2024
revised: 05 08 2024
accepted: 06 08 2024
medline: 15 8 2024
pubmed: 15 8 2024
entrez: 14 8 2024
Statut: aheadofprint

Résumé

Successful reproductive management of domestic mammals depends primarily upon timely identification of oestrous cycle stages. There is a need to develop an alternative non-invasive, welfare-friendly, accurate and reliable method to identify reproductive cycle stages. This is of particular interest for horse breeders, because horses are high-value farm animals that require careful management and individual monitoring. Saliva sampling is non-invasive, painless and welfare-friendly. Thus, we performed a metabolomic analysis of equine saliva during different reproductive stages to identify changes in the salivary metabolome during anoestrus, the oestrous cycle and early gestation. We compared the saliva and plasma metabolomes to investigate the relationship between the two fluids according to the physiological stage. We collected saliva and plasma samples from six mares during seasonal anoestrus, during the follicular phase 3 days, 2 days and 1 day before ovulation and the day when ovulation was detected, during the luteal phase 6 days after ovulation, and during early gestation 18 days after ovulation and insemination. Metabolome analysis was performed by proton-nuclear magnetic resonance spectroscopy. We identified 58 and 51 metabolites in saliva and plasma, respectively. The levels of four metabolites or groups of metabolites in saliva and five metabolites or groups of metabolites in plasma showed significant modifications during the 4 days until ovulation, ie 3 days prior to and on the day of ovulation. The levels of 11 metabolites or groups of metabolites in saliva and 17 metabolites or groups of metabolites in plasma were significantly different between the seasonal anoestrus and the ovarian cyclicity period. The physiological mechanisms involved in the onset of ovarian cyclicity and in ovulation induced modifications of the metabolome both in plasma and saliva. The metabolites whose salivary levels changed during the reproductive cycle could be potential salivary biomarkers to detect the reproductive stage in a welfare friendly production system. In particular, we propose creatine and alanine as candidate salivary biomarkers of ovulation and of the onset of ovarian cyclicity, respectively. However, extensive validation of their reliability is required. Our study contributes to extend to domestic mammals the use of saliva as a non-invasive alternative diagnostic fluid for reproduction in a welfare-friendly production system.

Identifiants

pubmed: 39141998
pii: S0093-691X(24)00327-3
doi: 10.1016/j.theriogenology.2024.08.007
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110-120

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None.

Auteurs

Ghylène Goudet (G)

INRAE, CNRS, IFCE, Université de Tours, PRC, 37380, Nouzilly, France. Electronic address: ghylene.goudet@inrae.fr.

Stéphane Beauclercq (S)

BOA, INRAE, Université de Tours, 37380, Nouzilly, France. Electronic address: beauclercq.stephane@courrier.uqam.ca.

Cécile Douet (C)

INRAE, CNRS, IFCE, Université de Tours, PRC, 37380, Nouzilly, France. Electronic address: cecile.douet@inrae.fr.

Fabrice Reigner (F)

PAO, INRAE, 37380, Nouzilly, France. Electronic address: fabrice.reigner@inrae.fr.

Stéfan Deleuze (S)

Faculté de Médecine Vétérinaire, Département des Sciences Cliniques, Clinique Equine, Université de Liège, B-4000, Liège, Belgium. Electronic address: s.deleuze@uliege.be.

Lydie Nadal-Desbarats (L)

UMR 1253, iBrain, INSERM, Université de Tours, 37000, Tours, France. Electronic address: lydie.nadal@univ-tours.fr.

Classifications MeSH