{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T08:07:22Z","timestamp":1793520442960,"version":"4.5.0"},"reference-count":55,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:00:00Z","timestamp":1656374400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Genet."],"abstract":"<jats:p><jats:italic>In utero<\/jats:italic> air pollution exposure has been associated with adverse birth outcomes, yet effects of air pollutants on regulatory mechanisms in fetal growth and critical windows of vulnerability during pregnancy are not well understood. There is evidence that epigenetic alterations may contribute to these effects. DNA methylation (DNAm) based age estimators have been developed and studied extensively with health outcomes in recent years. Growing literature suggests environmental factors, such as air pollution and smoking, can influence epigenetic aging. However, little is known about the effect of prenatal air pollution exposure on epigenetic aging. In this study, we leveraged existing data on prenatal air pollution exposure and cord blood DNAm from 332 mother-child pairs in the Early Autism Risk Longitudinal Investigation (EARLI) and Markers of Autism Risk in Babies-Learning Early Signs (MARBLES), two pregnancy cohorts enrolling women who had a previous child diagnosed with autism spectrum disorder, to assess the relationship of prenatal exposure to air pollution and epigenetic aging at birth. DNAm age was computed using existing epigenetic clock algorithms for cord blood tissue\u2014Knight and Bohlin. Epigenetic age acceleration was defined as the residual of regressing chronological gestational age on DNAm age, accounting for cell type proportions. Multivariable linear regression models and distributed lag models (DLMs), adjusting for child sex, maternal race\/ethnicity, study sites, year of birth, maternal education, were completed. In the single-pollutant analysis, we observed exposure to PM<jats:sub>2.5,<\/jats:sub> PM<jats:sub>10,<\/jats:sub> and O<jats:sub>3<\/jats:sub> during preconception period and pregnancy period were associated with decelerated epigenetic aging at birth. For example, pregnancy average PM<jats:sub>10<\/jats:sub> exposure (per 10 unit increase) was associated with epigenetic age deceleration at birth (weeks) for both Knight and Bohlin clocks (<jats:italic>\u03b2<\/jats:italic> = \u22120.62, 95% CI: \u22121.17, \u22120.06; <jats:italic>\u03b2<\/jats:italic> = \u22120.32, 95% CI: \u22120.63, \u22120.01, respectively). Weekly DLMs revealed that increasing PM<jats:sub>2.5<\/jats:sub> during the first trimester and second trimester were associated with decelerated epigenetic aging and that increasing PM<jats:sub>10<\/jats:sub> during the preconception period was associated with decelerated epigenetic aging, using the Bohlin clock estimate. Prenatal ambient air pollution exposure, particularly in early and mid-pregnancy, was associated with decelerated epigenetic aging at birth.<\/jats:p>","DOI":"10.3389\/fgene.2022.929416","type":"journal-article","created":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T06:59:18Z","timestamp":1656399558000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":22,"title":["Prenatal Exposure to Ambient Air Pollution and Epigenetic Aging at Birth in Newborns"],"prefix":"10.3389","volume":"13","author":[{"given":"Ashley Y.","family":"Song","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jason I.","family":"Feinberg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kelly M.","family":"Bakulski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa A.","family":"Croen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. 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