Publication: Metabolic profile and glycemic response in fully-grown sows born using assisted reproductive technologies
Authors
Cánovas, Sebastián ; Heras, S. ; Quintero-Moreno, A.A. ; Gadea, Joaquín ; Coy, P. ; Romar, Raquel ; Romero Aguirregomezcorta, Jon
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Publisher
Elsevier
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DOI
https://doi.org/10.1016/j.theriogenology.2024.10.002
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info:eu-repo/semantics/article
Description
© 2024 The Authors
This document is the published version of a published work that appeared in final form Theriogenology
This document is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0
.
To access the final edited and published work see: https://doi.org/10.1016/j.theriogenology.2024.10.002
Abstract
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.
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Citation
Theriogenology 230 (2024) 314–321
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