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Prenatal exposure to air pollution is associated with structural changes in the neonatal brain

BACKGROUND: Prenatal exposure to air pollution is associated with adverse neurologic consequences in childhood. However, the relationship between in utero exposure to air pollution and neonatal brain development is unclear. METHODS: We modelled maternal exposure to nitrogen dioxide (NO(2)) and parti...

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Detalles Bibliográficos
Autores principales: Bos, Brendan, Barratt, Ben, Batalle, Dafnis, Gale-Grant, Oliver, Hughes, Emer J., Beevers, Sean, Cordero-Grande, Lucilio, Price, Anthony N., Hutter, Jana, Hajnal, Joseph V., Kelly, Frank J., David Edwards, A., Counsell, Serena J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410199/
https://www.ncbi.nlm.nih.gov/pubmed/37058974
http://dx.doi.org/10.1016/j.envint.2023.107921
Descripción
Sumario:BACKGROUND: Prenatal exposure to air pollution is associated with adverse neurologic consequences in childhood. However, the relationship between in utero exposure to air pollution and neonatal brain development is unclear. METHODS: We modelled maternal exposure to nitrogen dioxide (NO(2)) and particulate matter (PM(2.5) and PM(10)) at postcode level between date of conception to date of birth and studied the effect of prenatal air pollution exposure on neonatal brain morphology in 469 (207 male) healthy neonates, with gestational age of ≥36 weeks. Infants underwent MR neuroimaging at 3 Tesla at 41.29 (36.71–45.14) weeks post-menstrual age (PMA) as part of the developing human connectome project (dHCP). Single pollutant linear regression and canonical correlation analysis (CCA) were performed to assess the relationship between air pollution and brain morphology, adjusting for confounders and correcting for false discovery rate. RESULTS: Higher exposure to PM(10) and lower exposure to NO(2) was strongly canonically correlated to a larger relative ventricular volume, and moderately associated with larger relative size of the cerebellum. Modest associations were detected with higher exposure to PM(10) and lower exposure to NO(2) and smaller relative cortical grey matter and amygdala and hippocampus, and larger relaive brainstem and extracerebral CSF volume. No associations were found with white matter or deep grey nuclei volume. CONCLUSIONS: Our findings show that prenatal exposure to air pollution is associated with altered brain morphometry in the neonatal period, albeit with opposing results for NO(2) and PM(10). This finding provides further evidence that reducing levels of maternal exposure to particulate matter during pregnancy should be a public health priority and highlights the importance of understanding the impacts of air pollution on this critical development window.