Metabolic profile and glycemic response in fully-grown sows born using assisted reproductive technologies.

Assisted reproductive technologies Glucagon Insulin Metabolism Pig

Journal

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

Informations de publication

Date de publication:
02 Oct 2024
Historique:
received: 03 05 2024
revised: 30 09 2024
accepted: 01 10 2024
medline: 6 10 2024
pubmed: 6 10 2024
entrez: 5 10 2024
Statut: aheadofprint

Résumé

The aim of the present work was to gain insight into the metabolism of pigs derived from assisted reproductive technologies during their adulthood. Approximately 4h after feeding, a blood sample was taken from 3.5 year old sows born by artificial insemination (AI group, n = 7) and transfer of in vitro produced embryos (IVP group, n = 11) to determine the physiological concentrations of the main biomarkers of carbohydrates (glucose and lactate), proteins (albumin, creatinine and urea) and lipids (cholesterol and triglycerides). Four weeks later, an oral glucose tolerance test (OGTT; 1.75g glucose/kg body weight) was performed after an overnight fast and 1h of water withdrawal. Blood samples were obtained prior (T = 0 min; fasting conditions) and 15, 30, 45, 60, 90, 120, 150, 180, 210 and 240 min after glucose intake. At each time point, glycemia was measured immediately using glucometer test strips, and serum was collected to determine the above metabolites along with insulin and glucagon. After OGTT, the area under the curve (AUC) between sampling times and homeostasis model assessment of insulin resistance (HOMA) indices were calculated. Under physiological conditions, the concentration of metabolites studied was similar between AI and IVP sows. In both groups, fasting decreased cholesterol and increased triglycerides and urea (P < 0.001). However, creatinine and lactate were similar in both groups under physiological and fasting conditions. The expected increase in albuminemia and decrease in glycaemia after fasting was only observed in IVP sows. OGTT revealed a different glucose curve pattern (monophasic in AI and biphasic in IVP group), a lower mean concentration of cholesterol, glucose, lactate, triglycerides in IVP compared to AI pigs (P < 0.01), and a higher mean concentration of albumin, creatinine and insulin in IVP compared to AI group (P < 0.05). On the contrary, no differences were found between groups for mean serum glucagon and urea levels, nor for glucose homeostasis indices HOMA-IR and HOMA-%B. The AUC differed between groups at several time points with larger AUC for creatinine, and smaller AUC for glucose, glucagon, and triglycerides, in IVP pigs than in AI pigs at 180-210 min (P < 0.05). In conclusion, under physiological conditions the metabolic profile of fully-grown AI and IVP sows is similar and within normal ranges. Glucose challenge revealed differences in metabolic and insulin responses between groups but with normal glucose tolerance in both cases.

Identifiants

pubmed: 39368453
pii: S0093-691X(24)00404-7
doi: 10.1016/j.theriogenology.2024.10.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

314-321

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of interest None of the authors have any conflict of interest to declare.

Auteurs

S Cánovas (S)

Department of Physiology, Universidad de Murcia, International Excellence Campus for Higher Education and Research (Campus Mare Nostrum), Murcia, Spain Institute for Biomedical Research of Murcia (IMIB), Murcia, Spain.

S Heras (S)

Department of Physiology, Universidad de Murcia, International Excellence Campus for Higher Education and Research (Campus Mare Nostrum), Murcia, Spain Institute for Biomedical Research of Murcia (IMIB), Murcia, Spain.

J Romero-Aguirregomezcorta (J)

Department of Physiology, Universidad de Murcia, International Excellence Campus for Higher Education and Research (Campus Mare Nostrum), Murcia, Spain Institute for Biomedical Research of Murcia (IMIB), Murcia, Spain.

A A Quintero-Moreno (AA)

Department of Physiology, Universidad de Murcia, International Excellence Campus for Higher Education and Research (Campus Mare Nostrum), Murcia, Spain Institute for Biomedical Research of Murcia (IMIB), Murcia, Spain.

J Gadea (J)

Department of Physiology, Universidad de Murcia, International Excellence Campus for Higher Education and Research (Campus Mare Nostrum), Murcia, Spain Institute for Biomedical Research of Murcia (IMIB), Murcia, Spain.

P Coy (P)

Department of Physiology, Universidad de Murcia, International Excellence Campus for Higher Education and Research (Campus Mare Nostrum), Murcia, Spain Institute for Biomedical Research of Murcia (IMIB), Murcia, Spain.

R Romar (R)

Department of Physiology, Universidad de Murcia, International Excellence Campus for Higher Education and Research (Campus Mare Nostrum), Murcia, Spain Institute for Biomedical Research of Murcia (IMIB), Murcia, Spain. Electronic address: rromar@um.es.

Classifications MeSH