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Investigating the DNA methylation profile of e-cigarette use

BACKGROUND: Little evidence exists on the health effects of e-cigarette use. DNA methylation may serve as a biomarker for exposure and could be predictive of future health risk. We aimed to investigate the DNA methylation profile of e-cigarette use. RESULTS: Among 117 smokers, 117 non-smokers and 11...

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Autores principales: Richmond, Rebecca C., Sillero-Rejon, Carlos, Khouja, Jasmine N., Prince, Claire, Board, Alexander, Sharp, Gemma, Suderman, Matthew, Relton, Caroline L., Munafò, Marcus, Gage, Suzanne H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479883/
https://www.ncbi.nlm.nih.gov/pubmed/34583751
http://dx.doi.org/10.1186/s13148-021-01174-7
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author Richmond, Rebecca C.
Sillero-Rejon, Carlos
Khouja, Jasmine N.
Prince, Claire
Board, Alexander
Sharp, Gemma
Suderman, Matthew
Relton, Caroline L.
Munafò, Marcus
Gage, Suzanne H.
author_facet Richmond, Rebecca C.
Sillero-Rejon, Carlos
Khouja, Jasmine N.
Prince, Claire
Board, Alexander
Sharp, Gemma
Suderman, Matthew
Relton, Caroline L.
Munafò, Marcus
Gage, Suzanne H.
author_sort Richmond, Rebecca C.
collection PubMed
description BACKGROUND: Little evidence exists on the health effects of e-cigarette use. DNA methylation may serve as a biomarker for exposure and could be predictive of future health risk. We aimed to investigate the DNA methylation profile of e-cigarette use. RESULTS: Among 117 smokers, 117 non-smokers and 116 non-smoking vapers, we evaluated associations between e-cigarette use and epigenome-wide methylation from saliva. DNA methylation at 7 cytosine-phosphate-guanine sites (CpGs) was associated with e-cigarette use at p < 1 × 10(–5) and none at p < 5.91 × 10(–8). 13 CpGs were associated with smoking at p < 1 × 10(–5) and one at p < 5.91 × 10(–8). CpGs associated with e-cigarette use were largely distinct from those associated with smoking. There was strong enrichment of known smoking-related CpGs in the smokers but not the vapers. We also tested associations between e-cigarette use and methylation scores known to predict smoking and biological ageing. Methylation scores for smoking and biological ageing were similar between vapers and non-smokers. Higher levels of all smoking scores and a biological ageing score (GrimAge) were observed in smokers. A methylation score for e-cigarette use showed poor prediction internally (AUC 0.55, 0.41–0.69) and externally (AUC 0.57, 0.36–0.74) compared with a smoking score (AUCs 0.80) and was less able to discriminate lung squamous cell carcinoma from adjacent normal tissue (AUC 0.64, 0.52–0.76 versus AUC 0.73, 0.61–0.85). CONCLUSIONS: The DNA methylation profile for e-cigarette use is largely distinct from that of cigarette smoking, did not replicate in independent samples, and was unable to discriminate lung cancer from normal tissue. The extent to which methylation related to long-term e-cigarette use translates into chronic effects requires further investigation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01174-7.
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spelling pubmed-84798832021-09-29 Investigating the DNA methylation profile of e-cigarette use Richmond, Rebecca C. Sillero-Rejon, Carlos Khouja, Jasmine N. Prince, Claire Board, Alexander Sharp, Gemma Suderman, Matthew Relton, Caroline L. Munafò, Marcus Gage, Suzanne H. Clin Epigenetics Research BACKGROUND: Little evidence exists on the health effects of e-cigarette use. DNA methylation may serve as a biomarker for exposure and could be predictive of future health risk. We aimed to investigate the DNA methylation profile of e-cigarette use. RESULTS: Among 117 smokers, 117 non-smokers and 116 non-smoking vapers, we evaluated associations between e-cigarette use and epigenome-wide methylation from saliva. DNA methylation at 7 cytosine-phosphate-guanine sites (CpGs) was associated with e-cigarette use at p < 1 × 10(–5) and none at p < 5.91 × 10(–8). 13 CpGs were associated with smoking at p < 1 × 10(–5) and one at p < 5.91 × 10(–8). CpGs associated with e-cigarette use were largely distinct from those associated with smoking. There was strong enrichment of known smoking-related CpGs in the smokers but not the vapers. We also tested associations between e-cigarette use and methylation scores known to predict smoking and biological ageing. Methylation scores for smoking and biological ageing were similar between vapers and non-smokers. Higher levels of all smoking scores and a biological ageing score (GrimAge) were observed in smokers. A methylation score for e-cigarette use showed poor prediction internally (AUC 0.55, 0.41–0.69) and externally (AUC 0.57, 0.36–0.74) compared with a smoking score (AUCs 0.80) and was less able to discriminate lung squamous cell carcinoma from adjacent normal tissue (AUC 0.64, 0.52–0.76 versus AUC 0.73, 0.61–0.85). CONCLUSIONS: The DNA methylation profile for e-cigarette use is largely distinct from that of cigarette smoking, did not replicate in independent samples, and was unable to discriminate lung cancer from normal tissue. The extent to which methylation related to long-term e-cigarette use translates into chronic effects requires further investigation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01174-7. BioMed Central 2021-09-28 /pmc/articles/PMC8479883/ /pubmed/34583751 http://dx.doi.org/10.1186/s13148-021-01174-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Richmond, Rebecca C.
Sillero-Rejon, Carlos
Khouja, Jasmine N.
Prince, Claire
Board, Alexander
Sharp, Gemma
Suderman, Matthew
Relton, Caroline L.
Munafò, Marcus
Gage, Suzanne H.
Investigating the DNA methylation profile of e-cigarette use
title Investigating the DNA methylation profile of e-cigarette use
title_full Investigating the DNA methylation profile of e-cigarette use
title_fullStr Investigating the DNA methylation profile of e-cigarette use
title_full_unstemmed Investigating the DNA methylation profile of e-cigarette use
title_short Investigating the DNA methylation profile of e-cigarette use
title_sort investigating the dna methylation profile of e-cigarette use
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479883/
https://www.ncbi.nlm.nih.gov/pubmed/34583751
http://dx.doi.org/10.1186/s13148-021-01174-7
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