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Epigenetic Analyses of Alcohol Consumption in Combustible and Non-Combustible Nicotine Product Users
Journal article   Open access   Peer reviewed

Epigenetic Analyses of Alcohol Consumption in Combustible and Non-Combustible Nicotine Product Users

Kelsey Dawes, Luke Sampson, Rachel Reimer, Shelly Miller, Robert Philibert and Allan Andersen
Epigenomes, Vol.5(3), p.18
09/01/2021
DOI: 10.3390/EPIGENOMES5030018
PMCID: PMC8594674
PMID: 34968367
url
https://doi.org/10.3390/EPIGENOMES5030018View
Published (Version of record) Open Access

Abstract

Alcohol and tobacco use are highly comorbid and exacerbate the associated morbidity and mortality of either substance alone. However, the relationship of alcohol consumption to the various forms of nicotine-containing products is not well understood. To improve this understanding, we examined the relationship of alcohol consumption to nicotine product use using self-report, cotinine, and two epigenetic biomarkers specific for smoking (cg05575921) and drinking (Alcohol T Scores (ATS)) in = 424 subjects. Cigarette users had significantly higher ATS values than the other groups ( < 2.2 × 10 ). Using the objective biomarkers, the intensity of nicotine and alcohol consumption was correlated in both the cigarette and smokeless users ( = -0.66, = 3.1 × 10 ; = 0.61, = 1.97 × 10 ). Building upon this idea, we used the objective nicotine biomarkers and age to build and test a Balanced Random Forest classification model for heavy alcohol consumption (ATS > 2.35). The model performed well with an AUC of 0.962, 89.3% sensitivity, and 85% specificity. We conclude that those who use non-combustible nicotine products drink significantly less than smokers, and cigarette and smokeless users drink more with heavier nicotine use. These findings further highlight the lack of informativeness of self-reported alcohol consumption and suggest given the public and private health burden of alcoholism, further research into whether using non-combustible nicotine products as a mode of treatment for dual users should be considered.
DNA methylation alcohol use disorder nicotine epigenetics smoking

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