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Gestational Exposure to Air Pollutants Perturbs Metabolic and Placenta-Fetal Phenotype

GSE261095 Mus musculus Expression profiling by high throughput sequencing 9 samples Submitted 2025/03/07 Platform GPL21103
Summary
Introduction: Air pollution is detrimental to a pregnancy with adverse effects in mother and child. It is also known to increase pregnancy complications including risk factors of gestational diabetes. Methods: We investigated the impact of intra-nasal instilled air pollutants upon gestational day 16-19 maternal mouse cardiovascular and metabolic status, placental nutrient transporters, and placental-fetal size and morphology. To further unravel mechanisms, we also examined placental total DNA 5’-hydroxymethylation and bulk RNA sequenced gene expression profiles. Results: Air pollution exposed pregnant mice were tachycardic, hyperglycemic, glucose intolerant and insulin resistant, with no major placental glucose and fatty acid transporter changes, except for a spatial disruption of cells expressing GLUT10 that imports L-dehydroascorbic acid in protecting against oxidative stress. Placentas revealed inflammatory cellular infiltration with associated cellular edema and necrosis, with a paucity of vascularity and hemorrhage. While individual fetal body weights increased, they suffered a reduction in brain cortical thickness. Placental total DNA 5’-hydroxymethylation was 2.5-fold higher, with perturbed gene expression profiles involving key metabolic, inflammatory, transcriptional, cellular polarizing and processing genes and pathways. Discussion: We conclude that gestational exposure to air pollutants incites a maternal inflammatory response resulting in features of maternal gestational diabetes mellitus with altered placental gene expression with associated injury to the placental-fetal unit. Thus, air pollutants adversely impact the health of mother and offspring.
Published in
Gestational exposure to air pollutants perturbs metabolic and placenta-fetal phenotype
Ganguly A, Ghosh S, Shin BC et al. · Reproductive toxicology (Elmsford, N.Y.) 2024 · PMID 39002939 · doi:10.1016/j.reprotox.2024.108657
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Also filed as BioProject PRJNA1085277 and SRA study SRP493924. Searching any of these in the dataset finder brings you back here.

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