Dissecting the epigenomic differences between smoking and nicotine dependence in a veteran cohort

Smoking is a serious public health issue linked to more than 8 million deaths per year worldwide and may lead to nicotine dependence (ND). Although the epigenomic literature on smoking is well established, studies evaluating the role of epigenetics in ND are limited. In this study, we examined the epigenomic signatures of ND and how these differ from smoking exposure to identify biomarkers specific to ND. We investigated the peripheral epigenetic profile of smoking status (SS) and ND in a US male veteran cohort. DNA from saliva was collected from 1135 European American (EA) male US military veterans. DNAm was assessed using the Illumina Infinium Human MethylationEPIC BeadChip array. SS was evaluated as current smokers (n = 137; 12.1%) and non-current smokers (never and former; n = 998; 87.9%). NDFTND was assessed as a continuous variable using the Fagerstrom Test for ND (FTND; n = 1135; mean = 2.54 +/- 2.29). Epigenome-wide association studies (EWAS) and co-methylation analyses were conducted for SS and NDFTND. A total of 450 and 22 genome-wide significant differentially methylated sites (DMS) were associated with SS and NDFTND, respectively (15 overlapped DMS). We identified 97 DMS (43 genes) in SS-EWAS previously reported in the literature, including AHRR and F2RL3 genes (p-value: 1.95 x 10(-83) to 4.55 x 10(-33)). NDFTND novel DMS mapped to NEUROG1, ANPEP, and SLC29A1. Co-methylation analysis identified 386 modules (11 SS-related and 19 NDFTND-related). SS-related modules showed enrichment for alcoholism, while NDFTND-related modules were enriched for nicotine addiction. This study confirms previous findings associated with SS and identifies novel and-potentially specific-epigenetic biomarkers of ND that may inform prognosis and novel treatment strategies.

Automated summary

Smoking is a serious public health issue that causes over 8 million deaths annually and can lead to nicotine dependence. This study examined the epigenomic signatures of nicotine dependence and identified specific biomarkers that can differentiate it from smoking exposure.