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Surrounding Greenness and Biological Aging Based on DNA Methylation: A Twin and Family Study in Australia

BACKGROUND: High surrounding greenness has many health benefits and might contribute to slower biological aging. However, very few studies have evaluated this from the perspective of epigenetics. OBJECTIVES: We aimed to evaluate the association between surrounding greenness and biological aging base...

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Autores principales: Xu, Rongbin, Li, Shuai, Li, Shanshan, Wong, Ee Ming, Southey, Melissa C., Hopper, John L., Abramson, Michael J., Guo, Yuming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Environmental Health Perspectives 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404778/
https://www.ncbi.nlm.nih.gov/pubmed/34460342
http://dx.doi.org/10.1289/EHP8793
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author Xu, Rongbin
Li, Shuai
Li, Shanshan
Wong, Ee Ming
Southey, Melissa C.
Hopper, John L.
Abramson, Michael J.
Guo, Yuming
author_facet Xu, Rongbin
Li, Shuai
Li, Shanshan
Wong, Ee Ming
Southey, Melissa C.
Hopper, John L.
Abramson, Michael J.
Guo, Yuming
author_sort Xu, Rongbin
collection PubMed
description BACKGROUND: High surrounding greenness has many health benefits and might contribute to slower biological aging. However, very few studies have evaluated this from the perspective of epigenetics. OBJECTIVES: We aimed to evaluate the association between surrounding greenness and biological aging based on DNA methylation. METHODS: We derived Horvath’s DNA methylation age (DNAmAge), Hannum’s DNAmAge, PhenoAge, and GrimAge based on DNA methylation measured in peripheral blood samples from 479 Australian women in 130 families. Measures of DNAmAge acceleration (DNAmAgeAC) were derived from the residuals after regressing each DNAmAge metric on chronological age. Greenness was represented by satellite-derived Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) metrics within 300-, 500-, 1,000-, and [Formula: see text] buffers surrounding participant addresses. Greenness-DNAmAgeAC associations were estimated using a within-sibship design fitted by linear mixed effect models, adjusting for familial clustering and important covariates. RESULTS: Greenness metrics were associated with significantly lower DNAmAgeAC based on GrimAge acceleration, suggesting slower biological aging with higher greenness based on both NDVI and EVI in [Formula: see text] buffer areas. For example, each interquartile range increase in NDVI within [Formula: see text] was associated with a 0.59 (95% CI: 0.18, 1.01)–year decrease in GrimAge acceleration. Greenness was also inversely associated with three of the eight components of GrimAge, specifically, DNA methylation-based surrogates of serum cystatin-C, serum growth differentiation factor 15, and smoking pack years. Associations between greenness and biological aging measured by Horvath’s and Hannum’s DNAmAgeAC were less consistent, and depended on neighborhood socioeconomic status. No significant associations were estimated for PhenoAge acceleration. DISCUSSION: Higher surrounding greenness was associated with slower biological aging, as indicated by GrimAge age acceleration, in Australian women. Associations were also evident for three individual components of GrimAge, but were inconsistent for other measures of biological aging. Additional studies are needed to confirm our results. https://doi.org/10.1289/EHP8793
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spelling pubmed-84047782021-09-01 Surrounding Greenness and Biological Aging Based on DNA Methylation: A Twin and Family Study in Australia Xu, Rongbin Li, Shuai Li, Shanshan Wong, Ee Ming Southey, Melissa C. Hopper, John L. Abramson, Michael J. Guo, Yuming Environ Health Perspect Research BACKGROUND: High surrounding greenness has many health benefits and might contribute to slower biological aging. However, very few studies have evaluated this from the perspective of epigenetics. OBJECTIVES: We aimed to evaluate the association between surrounding greenness and biological aging based on DNA methylation. METHODS: We derived Horvath’s DNA methylation age (DNAmAge), Hannum’s DNAmAge, PhenoAge, and GrimAge based on DNA methylation measured in peripheral blood samples from 479 Australian women in 130 families. Measures of DNAmAge acceleration (DNAmAgeAC) were derived from the residuals after regressing each DNAmAge metric on chronological age. Greenness was represented by satellite-derived Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) metrics within 300-, 500-, 1,000-, and [Formula: see text] buffers surrounding participant addresses. Greenness-DNAmAgeAC associations were estimated using a within-sibship design fitted by linear mixed effect models, adjusting for familial clustering and important covariates. RESULTS: Greenness metrics were associated with significantly lower DNAmAgeAC based on GrimAge acceleration, suggesting slower biological aging with higher greenness based on both NDVI and EVI in [Formula: see text] buffer areas. For example, each interquartile range increase in NDVI within [Formula: see text] was associated with a 0.59 (95% CI: 0.18, 1.01)–year decrease in GrimAge acceleration. Greenness was also inversely associated with three of the eight components of GrimAge, specifically, DNA methylation-based surrogates of serum cystatin-C, serum growth differentiation factor 15, and smoking pack years. Associations between greenness and biological aging measured by Horvath’s and Hannum’s DNAmAgeAC were less consistent, and depended on neighborhood socioeconomic status. No significant associations were estimated for PhenoAge acceleration. DISCUSSION: Higher surrounding greenness was associated with slower biological aging, as indicated by GrimAge age acceleration, in Australian women. Associations were also evident for three individual components of GrimAge, but were inconsistent for other measures of biological aging. Additional studies are needed to confirm our results. https://doi.org/10.1289/EHP8793 Environmental Health Perspectives 2021-08-30 /pmc/articles/PMC8404778/ /pubmed/34460342 http://dx.doi.org/10.1289/EHP8793 Text en https://ehp.niehs.nih.gov/about-ehp/licenseEHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.
spellingShingle Research
Xu, Rongbin
Li, Shuai
Li, Shanshan
Wong, Ee Ming
Southey, Melissa C.
Hopper, John L.
Abramson, Michael J.
Guo, Yuming
Surrounding Greenness and Biological Aging Based on DNA Methylation: A Twin and Family Study in Australia
title Surrounding Greenness and Biological Aging Based on DNA Methylation: A Twin and Family Study in Australia
title_full Surrounding Greenness and Biological Aging Based on DNA Methylation: A Twin and Family Study in Australia
title_fullStr Surrounding Greenness and Biological Aging Based on DNA Methylation: A Twin and Family Study in Australia
title_full_unstemmed Surrounding Greenness and Biological Aging Based on DNA Methylation: A Twin and Family Study in Australia
title_short Surrounding Greenness and Biological Aging Based on DNA Methylation: A Twin and Family Study in Australia
title_sort surrounding greenness and biological aging based on dna methylation: a twin and family study in australia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404778/
https://www.ncbi.nlm.nih.gov/pubmed/34460342
http://dx.doi.org/10.1289/EHP8793
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