Evidence map›Paper›PMID 39151322›Full record

ArticleTheriogenology2024

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

Aridany Suarez-Trujillo, Colby J Vorland, Griffin T Nicholls, Daniella E Chusyd, Chelsie Parker, Lilian Golzarri-Arroyo, Sophia Swann, Bethany J Funnell, Kara R Stewart, David B Allison

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Article in Theriogenology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Aridany Suarez-TrujilloDepartment of Animal Science, Berry College, Mount Berry, GA, 30149, USA. Electronic address: asuarezt@berry.edu.
Colby J VorlandIndiana University School of Public Health-Bloomington, Bloomington, IN, 47405, USA.
Griffin T NichollsDepartment of Animal Science, Purdue University, West Lafayette, IN, 47907, USA.
Daniella E ChusydIndiana University School of Public Health-Bloomington, Bloomington, IN, 47405, USA.
Chelsie ParkerIndiana University School of Public Health-Bloomington, Bloomington, IN, 47405, USA.
Lilian Golzarri-ArroyoIndiana University School of Public Health-Bloomington, Bloomington, IN, 47405, USA.
Sophia SwannDepartment of Animal Science, Berry College, Mount Berry, GA, 30149, USA.
Bethany J FunnellDepartment of Veterinary Clinical Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Kara R StewartDepartment of Animal Science, Purdue University, West Lafayette, IN, 47907, USA.
David B AllisonIndiana University School of Public Health-Bloomington, Bloomington, IN, 47405, USA. Electronic address: allison@iu.edu.

Funding

Early life trauma and aging using a long-lived animal modelK01AG072615 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI Daniella E. Chusyd · 2022 to 2026
$653k
NIA NIH HHS K01 AG072615
6 · The paper itself

Abstract

backgroundThe 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.

objectiveTo demonstrate that fetal sex can be randomly assigned to test the causal effect of fetal sex on maternal outcomes.

methodsHolstein 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.

resultsWe 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).

conclusionWe 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.

Indexed as

Blood GlucoseAnimalsCattleFemaleFetusGlucose Tolerance TestInsulinMaleMaternal HealthPregnancyRandom AllocationBlood GlucoseInsulinCowFetal sexGlucoseInsulinSexed-semen

Identifiers

PMID39151322
PMCPMC11391945

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.