The Impact of Environmental Benzene, Toluene, Ethylbenzene, and Xylene Exposure on Blood-Based DNA Methylation Profiles in Pregnant African American Women from Detroit.
Jennifer K StraughenIan LovelessYalei ChenCharlotte BurmeisterLois LameratoLawrence D LemkeBrendan F O'LearyJohn J ReinersF Gianluca SperoneAlbert M LevinAndrea E Cassidy-BushrowPublished in: International journal of environmental research and public health (2024)
African American women in the United States have a high risk of adverse pregnancy outcomes. DNA methylation is a potential mechanism by which exposure to BTEX (benzene, toluene, ethylbenzene, and xylenes) may cause adverse pregnancy outcomes. Data are from the Maternal Stress Study, which recruited African American women in the second trimester of pregnancy from February 2009 to June 2010. DNA methylation was measured in archived DNA from venous blood collected in the second trimester. Trimester-specific exposure to airshed BTEX was estimated using maternal self-reported addresses and geospatial models of ambient air pollution developed as part of the Geospatial Determinants of Health Outcomes Consortium. Among the 64 women with exposure and outcome data available, 46 differentially methylated regions (DMRs) were associated with BTEX exposure (FDR adjusted p -value < 0.05) using a DMR-based epigenome-wide association study approach. Overall, 89% of DMRs consistently exhibited hypomethylation with increasing BTEX exposure. Biological pathway analysis identified 11 enriched pathways, with the top 3 involving gamma-aminobutyric acid receptor signaling, oxytocin in brain signaling, and the gustation pathway. These findings highlight the potential impact of BTEX on DNA methylation in pregnant women.
Keyphrases
- pregnancy outcomes
- african american
- dna methylation
- pregnant women
- air pollution
- genome wide
- gene expression
- particulate matter
- electronic health record
- emergency department
- big data
- copy number
- human health
- physical activity
- artificial intelligence
- preterm birth
- climate change
- skeletal muscle
- functional connectivity
- deep learning