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Fetal sex effects on maternal health can now be tested via randomization: A first-in-class illustration in cows on glucoregulatory outcomes

The maternal-offspring relationship, such as whether fetal sex influences maternal health, is essential to explore to advance prenatal and maternal health. While associations exist between fetal sex and maternal health outcomes, it is unclear whether these reflect a causal relationship. To demonstra...

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Published in:Theriogenology 2024-11, Vol.229, p.41-46
Main Authors: Suarez-Trujillo, Aridany, Vorland, Colby J., Nicholls, Griffin T., Chusyd, Daniella E., Parker, Chelsie, Golzarri-Arroyo, Lilian, Swann, Sophia, Funnell, Bethany J., Stewart, Kara R., Allison, David B.
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container_issue
container_start_page 41
container_title Theriogenology
container_volume 229
creator Suarez-Trujillo, Aridany
Vorland, Colby J.
Nicholls, Griffin T.
Chusyd, Daniella E.
Parker, Chelsie
Golzarri-Arroyo, Lilian
Swann, Sophia
Funnell, Bethany J.
Stewart, Kara R.
Allison, David B.
description The maternal-offspring relationship, such as whether fetal sex influences maternal health, is essential to explore to advance prenatal and maternal health. While associations exist between fetal sex and maternal health outcomes, it is unclear whether these reflect a causal relationship. To demonstrate that fetal sex can be randomly assigned to test the causal effect of fetal sex on maternal outcomes. Holstein dairy cows were stratified and randomized using sealed opaque envelopes to be artificially inseminated with either X- or Y-sorted bull semen until 40 cows became pregnant. Monthly body weight measurements were recorded, and an intravenous glucose tolerance test was performed 30 days before the expected calving day. The primary outcome was insulin area under the curve (AUC), and secondary outcomes were clearance rate, half-life, and AUC for glucose, insulin, and non-esterified fatty acid concentrations. An intention-to-treat (ITT) approach using multiple imputation was employed for primary analysis, and an as-treated (AT) approach was used for secondary analysis. We demonstrated that we could successfully randomize the assignment of fetal sex to dams and test for causal effects of fetal sex on glucoregulatory outcomes using dairy cows as a model. Insulin AUC was not statistically different between groups (ITT p = 0.857, AT p = 0.874), and other outcomes were also not statistically different (p > 0.05). We demonstrated that causal effects of fetal sex on maternal outcomes can be causally tested in dairy cows. Our study did not provide statistical evidence to support an effect of fetal sex on maternal glucose-related outcomes. •Dairy cows are a suitable model to test the relationship between fetal sex and maternal health outcomes.•We demonstrate that fetal sex can be randomized using sex-sorted semen to assess causality.•Our results do not provide statistical evidence to support an effect of fetal sex on maternal glucoregulatory outcomes.
doi_str_mv 10.1016/j.theriogenology.2024.08.013
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subjects Animals
Blood Glucose
Cattle - physiology
Cow
Female
Fetal sex
Fetus - physiology
Glucose
Glucose Tolerance Test - veterinary
Insulin
Insulin - blood
Male
Maternal Health
Pregnancy
Random Allocation
Sexed-semen
title Fetal sex effects on maternal health can now be tested via randomization: A first-in-class illustration in cows on glucoregulatory outcomes
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