Long-term ambient fine particulate matter and DNA methylation in inflammation pathways: results from the Sister Study
Although underlying mechanisms of long-term exposure to air pollution and cardiovascular disease remain obscure, effects might partially act through changes in DNA methylation. We examined the associations between long-term ambient fine particulate matter (PM2.5) and methylation, considering both a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-05-01
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| Series: | Epigenetics |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/15592294.2019.1699894 |
| _version_ | 1827811585843789824 |
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| author | Cuicui Wang Katie M. O’Brien Zongli Xu Dale P. Sandler Jack A. Taylor Clarice R. Weinberg |
| author_facet | Cuicui Wang Katie M. O’Brien Zongli Xu Dale P. Sandler Jack A. Taylor Clarice R. Weinberg |
| author_sort | Cuicui Wang |
| collection | DOAJ |
| description | Although underlying mechanisms of long-term exposure to air pollution and cardiovascular disease remain obscure, effects might partially act through changes in DNA methylation. We examined the associations between long-term ambient fine particulate matter (PM2.5) and methylation, considering both a global measure and methylation at several specific inflammation-related loci, in two random sub-cohorts selected from a nationwide prospective study of US women. In one sub-cohort we measured long interspersed nucleotide element (LINE-1); in the other, we measured methylation at three candidates CpG loci related to inflammatory pathways [tumour necrosis factor-alpha (TNF-α) and toll-like receptor-2 (TLR-2)]. Annual average contemporaneous ambient PM2.5 concentrations were estimated for the current residence. We used both classical least-squares and quantile regression models to estimate the long-term effects. The women in sub-cohorts 1 (n = 491) and 2 (n = 882) had mean ages of 55.8 and 56.7, respectively. Neither modelling approach showed an association between long-term PM2.5 and LINE-1 methylation or between PM2.5 and either of the two CpG sites in TLR-2. Using linear regression, there was an estimated change of −6.5% (95% confidence interval CI: −13.34%, 0.35%) in mean methylation of TNF-α per 5 µg/m3 increase in PM2.5. Quantile regression showed that the downward shift was mainly in the lower half of the distribution of DNA methylation. Long-term residence in regions with higher ambient PM2.5 may be associated with increased TNF-α through a reduction in methylation, particularly in the lower tail. Epigenetic markers and quantile regression might provide insight into mechanisms underlying the relationship between air pollution and cardiovascular disease. |
| first_indexed | 2024-03-11T23:06:54Z |
| format | Article |
| id | doaj.art-d574179913414e91bcfb76e0b3016123 |
| institution | Directory Open Access Journal |
| issn | 1559-2294 1559-2308 |
| language | English |
| last_indexed | 2024-03-11T23:06:54Z |
| publishDate | 2020-05-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Epigenetics |
| spelling | doaj.art-d574179913414e91bcfb76e0b30161232023-09-21T13:09:23ZengTaylor & Francis GroupEpigenetics1559-22941559-23082020-05-0115552453510.1080/15592294.2019.16998941699894Long-term ambient fine particulate matter and DNA methylation in inflammation pathways: results from the Sister StudyCuicui Wang0Katie M. O’Brien1Zongli Xu2Dale P. Sandler3Jack A. Taylor4Clarice R. Weinberg5National Institute of Environmental Health SciencesNational Institute of Environmental Health SciencesNational Institute of Environmental Health SciencesNational Institute of Environmental Health SciencesNational Institute of Environmental Health SciencesNational Institute of Environmental Health SciencesAlthough underlying mechanisms of long-term exposure to air pollution and cardiovascular disease remain obscure, effects might partially act through changes in DNA methylation. We examined the associations between long-term ambient fine particulate matter (PM2.5) and methylation, considering both a global measure and methylation at several specific inflammation-related loci, in two random sub-cohorts selected from a nationwide prospective study of US women. In one sub-cohort we measured long interspersed nucleotide element (LINE-1); in the other, we measured methylation at three candidates CpG loci related to inflammatory pathways [tumour necrosis factor-alpha (TNF-α) and toll-like receptor-2 (TLR-2)]. Annual average contemporaneous ambient PM2.5 concentrations were estimated for the current residence. We used both classical least-squares and quantile regression models to estimate the long-term effects. The women in sub-cohorts 1 (n = 491) and 2 (n = 882) had mean ages of 55.8 and 56.7, respectively. Neither modelling approach showed an association between long-term PM2.5 and LINE-1 methylation or between PM2.5 and either of the two CpG sites in TLR-2. Using linear regression, there was an estimated change of −6.5% (95% confidence interval CI: −13.34%, 0.35%) in mean methylation of TNF-α per 5 µg/m3 increase in PM2.5. Quantile regression showed that the downward shift was mainly in the lower half of the distribution of DNA methylation. Long-term residence in regions with higher ambient PM2.5 may be associated with increased TNF-α through a reduction in methylation, particularly in the lower tail. Epigenetic markers and quantile regression might provide insight into mechanisms underlying the relationship between air pollution and cardiovascular disease.http://dx.doi.org/10.1080/15592294.2019.1699894long-termpm2.5methylationquantile regression |
| spellingShingle | Cuicui Wang Katie M. O’Brien Zongli Xu Dale P. Sandler Jack A. Taylor Clarice R. Weinberg Long-term ambient fine particulate matter and DNA methylation in inflammation pathways: results from the Sister Study Epigenetics long-term pm2.5 methylation quantile regression |
| title | Long-term ambient fine particulate matter and DNA methylation in inflammation pathways: results from the Sister Study |
| title_full | Long-term ambient fine particulate matter and DNA methylation in inflammation pathways: results from the Sister Study |
| title_fullStr | Long-term ambient fine particulate matter and DNA methylation in inflammation pathways: results from the Sister Study |
| title_full_unstemmed | Long-term ambient fine particulate matter and DNA methylation in inflammation pathways: results from the Sister Study |
| title_short | Long-term ambient fine particulate matter and DNA methylation in inflammation pathways: results from the Sister Study |
| title_sort | long term ambient fine particulate matter and dna methylation in inflammation pathways results from the sister study |
| topic | long-term pm2.5 methylation quantile regression |
| url | http://dx.doi.org/10.1080/15592294.2019.1699894 |
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