B3416 - Investigating a DNA methylation signature of e-cigarette use - 29/11/2019

B number: 
B3416
Principal applicant name: 
Rebecca Richmond | University of Bristol (UK)
Co-applicants: 
Matthew Suderman, Paul Yousefi, Marcus Munafo, Caroline Relton, Suzanne Gage
Title of project: 
Investigating a DNA methylation signature of e-cigarette use
Proposal summary: 

Electronic cigarettes (e-cigarettes) have the potential to reduce the harm caused by smoking, but there is currently little information regarding their long-term safety. We propose a novel methodology to quantify aspects of the biological (specifically epigenetic) changes associated with e-cigarette use, and the extent to which these changes are associated with future disease risk. We will determine whether e-cigarette users (“vapers”) are more comparable to smokers of tobacco cigarettes or to never-smokers with respect to their epigenetic signature. We will then determine whether the epigenetic profile associated with e-cigarette use differentially predicts risk of disease, and whether these epigenetic changes are causally linked to disease, and as such may be targets for preventative interventions. This research will provide key scientific insights, as well as valuable information to both cigarette smokers and vapers regarding the relative safety of these products in relation to their biological impact and future disease risk.

Impact of research: 
These results will be of direct relevance to health professionals and policy makers. If we find vaper methylation patterns similar to those of smokers, this might indicate that long-term health risk is similar. If, conversely, e-cigarette methylation patterns are more akin to patterns seen in non-smokers, this might provide evidence that their use as a smoking-cessation device could be encouraged. This information is important to governments and organisations making e-cigarette policy and legislation decisions.
Date proposal received: 
Wednesday, 20 November, 2019
Date proposal approved: 
Thursday, 21 November, 2019
Keywords: 
Epigenetics, Addiction - e.g. alcohol, illicit drugs, smoking, gambling, etc., Behaviour - e.g. antisocial behaviour, risk behaviour, etc., Statistical methods, epigenome-wide association study, Biological samples -e.g. blood, cell lines, saliva, etc., Biomarkers - e.g. cotinine, fatty acids, haemoglobin, etc., Environment - enviromental exposure, pollution, Epigenetics