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Metal mixtures and DNA methylation measures of biological aging in American Indian populations
INTRODUCTION: Native American communities suffer disproportionately from elevated metal exposures and increased risk for cardiovascular diseases and diabetes. DNA methylation is a sensitive biomarker of aging-related processes and novel epigenetic-based “clocks” can be used to estimate accelerated b...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617409/ https://www.ncbi.nlm.nih.gov/pubmed/37364305 http://dx.doi.org/10.1016/j.envint.2023.108064 |
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author | Boyer, Kaila Domingo-Relloso, Arce Jiang, Enoch Haack, Karin Goessler, Walter Zhang, Ying Umans, Jason G. Belsky, Daniel W. Cole, Shelley A. Navas-Acien, Ana Kupsco, Allison |
author_facet | Boyer, Kaila Domingo-Relloso, Arce Jiang, Enoch Haack, Karin Goessler, Walter Zhang, Ying Umans, Jason G. Belsky, Daniel W. Cole, Shelley A. Navas-Acien, Ana Kupsco, Allison |
author_sort | Boyer, Kaila |
collection | PubMed |
description | INTRODUCTION: Native American communities suffer disproportionately from elevated metal exposures and increased risk for cardiovascular diseases and diabetes. DNA methylation is a sensitive biomarker of aging-related processes and novel epigenetic-based “clocks” can be used to estimate accelerated biological aging that may underlie increased risk. Metals alter DNA methylation, yet little is known about their individual and combined impact on epigenetic age acceleration. Our objective was to investigate the associations of metals on several DNA methylation-based aging measures in the Strong Heart Study (SHS) cohort. METHODS: Blood DNA methylation data from 2,301 SHS participants was used to calculate age acceleration of epigenetic clocks (PhenoAge, GrimAge, DunedinPACE, Hannum, Horvath). Urinary metals [arsenic (As), cadmium (Cd), tungsten (W), zinc (Zn), selenium (Se), molybdenum (Mo)] were creatinine-adjusted and categorized into quartiles. We examined associations of individual metals through linear regression models and used Bayesian Kernel Machine Regression (BKMR) for the impact of the total metal mixture on epigenetic age acceleration. RESULTS: The mixture of nonessential metals (W, As, Cd) was associated with greater GrimAge acceleration and DunedinPACE, while the essential metal mixture (Se, Zn, Mo) was associated with lower epigenetic age acceleration. Cd was associated with increased epigenetic age acceleration across all clocks and BKMR analysis suggested nonlinear associations between Se and DunedinPACE, GrimAge, and PhenoAge acceleration. No interactions between individual metals were observed. The associations between Cd, Zn, and epigenetic age acceleration were greater in never smokers in comparison to current/former smokers. CONCLUSION: Nonessential metals were positively associated with greater epigenetic age acceleration, with strongest associations observed between Cd and DunedinPACE and GrimAge acceleration. In contrast, essential metals were associated with lower epigenetic aging. Examining the influence of metal mixtures on epigenetic age acceleration can provide insight into metals and aging-related diseases. |
format | Online Article Text |
id | pubmed-10617409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-106174092023-10-31 Metal mixtures and DNA methylation measures of biological aging in American Indian populations Boyer, Kaila Domingo-Relloso, Arce Jiang, Enoch Haack, Karin Goessler, Walter Zhang, Ying Umans, Jason G. Belsky, Daniel W. Cole, Shelley A. Navas-Acien, Ana Kupsco, Allison Environ Int Article INTRODUCTION: Native American communities suffer disproportionately from elevated metal exposures and increased risk for cardiovascular diseases and diabetes. DNA methylation is a sensitive biomarker of aging-related processes and novel epigenetic-based “clocks” can be used to estimate accelerated biological aging that may underlie increased risk. Metals alter DNA methylation, yet little is known about their individual and combined impact on epigenetic age acceleration. Our objective was to investigate the associations of metals on several DNA methylation-based aging measures in the Strong Heart Study (SHS) cohort. METHODS: Blood DNA methylation data from 2,301 SHS participants was used to calculate age acceleration of epigenetic clocks (PhenoAge, GrimAge, DunedinPACE, Hannum, Horvath). Urinary metals [arsenic (As), cadmium (Cd), tungsten (W), zinc (Zn), selenium (Se), molybdenum (Mo)] were creatinine-adjusted and categorized into quartiles. We examined associations of individual metals through linear regression models and used Bayesian Kernel Machine Regression (BKMR) for the impact of the total metal mixture on epigenetic age acceleration. RESULTS: The mixture of nonessential metals (W, As, Cd) was associated with greater GrimAge acceleration and DunedinPACE, while the essential metal mixture (Se, Zn, Mo) was associated with lower epigenetic age acceleration. Cd was associated with increased epigenetic age acceleration across all clocks and BKMR analysis suggested nonlinear associations between Se and DunedinPACE, GrimAge, and PhenoAge acceleration. No interactions between individual metals were observed. The associations between Cd, Zn, and epigenetic age acceleration were greater in never smokers in comparison to current/former smokers. CONCLUSION: Nonessential metals were positively associated with greater epigenetic age acceleration, with strongest associations observed between Cd and DunedinPACE and GrimAge acceleration. In contrast, essential metals were associated with lower epigenetic aging. Examining the influence of metal mixtures on epigenetic age acceleration can provide insight into metals and aging-related diseases. 2023-08 2023-06-24 /pmc/articles/PMC10617409/ /pubmed/37364305 http://dx.doi.org/10.1016/j.envint.2023.108064 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Article Boyer, Kaila Domingo-Relloso, Arce Jiang, Enoch Haack, Karin Goessler, Walter Zhang, Ying Umans, Jason G. Belsky, Daniel W. Cole, Shelley A. Navas-Acien, Ana Kupsco, Allison Metal mixtures and DNA methylation measures of biological aging in American Indian populations |
title | Metal mixtures and DNA methylation measures of biological aging in American Indian populations |
title_full | Metal mixtures and DNA methylation measures of biological aging in American Indian populations |
title_fullStr | Metal mixtures and DNA methylation measures of biological aging in American Indian populations |
title_full_unstemmed | Metal mixtures and DNA methylation measures of biological aging in American Indian populations |
title_short | Metal mixtures and DNA methylation measures of biological aging in American Indian populations |
title_sort | metal mixtures and dna methylation measures of biological aging in american indian populations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617409/ https://www.ncbi.nlm.nih.gov/pubmed/37364305 http://dx.doi.org/10.1016/j.envint.2023.108064 |
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