Evidence map›Paper›PMID 42537891›Full record

ArticleNeuroImage2026

Associations between maternal adiposity during pregnancy and neonatal brain cortical development.

Xiaoxu Na, Brooke L Yancey-Ward, Yan Xue, Charles M Glasier, Yongming Liu, Xiawei Ou

Abstract read
In one paragraph

Article in NeuroImage, 2026. 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

6 authors.

Xiaoxu NaDepartment of Radiology, University of Arkansas for Medical Sciences, USA.
Brooke L Yancey-WardDepartment of Pediatrics, University of Arkansas for Medical Sciences, USA.
Yan XueArizona State University, USA.
Charles M GlasierDepartment of Radiology, University of Arkansas for Medical Sciences, USA.
Yongming LiuArizona State University, USA.
Xiawei OuDepartment of Radiology, University of Arkansas for Medical Sciences, USA; Department of Pediatrics, University of Arkansas for Medical Sciences, USA; Arkansas Children's Nutrition Center, USA; Arkansas Children's Research Institute, USA. Electronic address: ouxiawei@uams.edu.

Funding

Effects of maternal obesity and inflammation on offspring brain developmentR01HD099099 · NICHD · ARKANSAS CHILDREN'S HOSPITAL RES INST · PI OU, XIAWEI · 2019 to 2023
$3.1M
NICHD NIH HHS R01 HD099099
6 · The paper itself

Abstract

backgroundPrevious studies have suggested that obesity during pregnancy is associated with changes in child neurodevelopmental outcomes, indicating in utero effects of maternal obesity on offspring brain development. PURPOSE: This study aims to evaluate whether there are associations between maternal body fat mass percentage (a direct measure of adiposity) at different stages of pregnancy and neonatal cortical brain development. MATERIALS AND

methods169 mother/newborn dyads (79 boys and 90 girls) were included in this longitudinal and prospective study. Maternal fat mass percentage was assessed using air displacement plethysmography methodology at 12 and 36 weeks of pregnancy. At ∼2 weeks of postnatal age, the neonates underwent a brain MRI during natural sleep without sedation using high-resolution 3D T1- and T2-weighted imaging. Multiple linear regression models, controlling for appropriate covariates, were used to evaluate associations between maternal fat mass percentage and neonatal cortical features (volume, thickness, and surface area), as well as to test for interaction effects between neonatal sex and maternal fat mass percentage on these outcomes.

resultsMaternal fat mass percentage at 12 weeks of pregnancy negatively associated with neonatal cortical volume of left entorhinal cortex (ꞵ = -1.36, t = -3.53, P = 0.04), and left parahippocampal gyrus (ꞵ = -1.50, t = -3.31, P = 0.04); maternal fat mass percentage at 36 weeks of pregnancy negatively associated with neonatal cortical volume of left entorhinal cortex (ꞵ = -1.76, t = -3.25, P = 0.04), left parahippocampal gyrus (ꞵ = -2.26, t = -3.53, P = 0.04), and right temporal pole (ꞵ = -2.24, t = -3.19, P = 0.04). Sex interaction with maternal fat mass percentage at 12 weeks significantly associated with cortical volume in left pars triangularis (ꞵ = -8.28, t = -3.46, P = 0.05).

conclusionSignificant relationships were identified between maternal body fat mass percentage during pregnancy and neonatal cortical volume, suggesting potential in utero and sex-specific impacts of increased maternal adiposity on offspring brain development.

Indexed as

AdiposityCerebral CortexPregnancy in ObesityPrenatal Exposure Delayed EffectsAdultFemaleHumansInfant, NewbornLongitudinal StudiesMagnetic Resonance ImagingMaleNeurodevelopmentPregnancyProspective StudiesBMICortical volumeFat massMaternal obesityNeonate neuroimagingPregnancy

Identifiers

PMID42537891
PMCPMC13595325

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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 OpenQuestion graph.