Residential PM2.5 exposure and the nasal methylome in children

RationalePM2.5-induced adverse effects on respiratory health may be driven by epigenetic modifications in airway cells. The potential impact of exposure duration on epigenetic alterations in the airways is not yet known.ObjectivesWe aimed to study associations of fine particulate matter PM2.5 exposure with DNA methylation in nasal cells.MethodsWe conducted nasal epigenome-wide association analyses within 503 children from Project Viva (mean age 12.9 y), and examined various exposure durations (1-day, 1-week, 1-month, 3-months and 1-year) prior to nasal sampling. We used residential addresses t... Mehr ...

Verfasser: Sordillo, Joanne E
Cardenas, Andres
Qi, Cancan
Rifas-Shiman, Sheryl L
Coull, Brent
Luttmann-Gibson, Heike
Schwartz, Joel
Kloog, Itai
Hivert, Marie-France
DeMeo, Dawn L
Baccarelli, Andrea A
Xu, Cheng-Jian
Gehring, Ulrike
Vonk, Judith M
Koppelman, Gerard
Oken, Emily
Gold, Diane R
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Verlag/Hrsg.: eScholarship
University of California
Schlagwörter: Biological Sciences / Genetics / Climate-Related Exposures and Conditions / Pediatric / Lung / Human Genome / Clinical Research / Adolescent / Air Pollution / Child / DNA Methylation / Epigenome / Humans / Netherlands / Particulate Matter / Environmental Sciences
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-29575024
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://escholarship.org/uc/item/0g0799d4

RationalePM2.5-induced adverse effects on respiratory health may be driven by epigenetic modifications in airway cells. The potential impact of exposure duration on epigenetic alterations in the airways is not yet known.ObjectivesWe aimed to study associations of fine particulate matter PM2.5 exposure with DNA methylation in nasal cells.MethodsWe conducted nasal epigenome-wide association analyses within 503 children from Project Viva (mean age 12.9 y), and examined various exposure durations (1-day, 1-week, 1-month, 3-months and 1-year) prior to nasal sampling. We used residential addresses to estimate average daily PM2.5 at 1km resolution. We collected nasal swabs from the anterior nares and measured DNA methylation (DNAm) using the Illumina MethylationEPIC BeadChip. We tested 719,075 high quality autosomal CpGs using CpG-by-CpG and regional DNAm analyses controlling for multiple comparisons, and adjusted for maternal education, household smokers, child sex, race/ethnicity, BMI z-score, age, season at sample collection and cell-type heterogeneity. We further corrected for bias and genomic inflation. We tested for replication in a cohort from the Netherlands (PIAMA).ResultsIn adjusted analyses, we found 362 CpGs associated with 1-year PM2.5 (FDR<0.05), 20 CpGs passing Bonferroni correction (P<7.0x10-8) and 10 Differentially Methylated Regions (DMRs). In 445 PIAMA participants (mean age 16.3years) 11 of 203 available CpGs replicated at P<0.05. We observed differential DNAm at/near genes implicated in cell cycle, immune and inflammatory responses. There were no CpGs or regions associated with PM2.5 levels at 1-day, 1-week, or 1-month prior to sample collection, although 2 CpGs were associated with past 3-month PM2.5.ConclusionWe observed wide-spread DNAm variability associated with average past year PM2.5 exposure but we did not detect associations with shorter-term exposure. Our results suggest that nasal DNAm marks reflect chronic air pollution exposure.