Untargeted metabolomics reveals multiple metabolites influencing smoking-related DNA methylation. (12th March 2018)

• Record Type: Journal Article
• Authors: Huang, Yunfeng; Hui, Qin; Walker, Douglas I; Uppal, Karan; Goldberg, Jack; Jones, Dean P; Vaccarino, Viola; Sun, Yan V
• Is Part Of: Epigenomics. Volume 10:Number 4(2018)
• Page Start: 379
• Page End: 393
• Publication Date: 2018-03-12
• Subjects: epigenetic epidemiology -- epigenetics -- epigenome -- EWAS -- exposome -- metabolome -- metabolome-wide association study -- methylome -- metabolome-wide association study -- twin; Epigenesis -- Periodicals; Genomics -- Periodicals; Chromatin -- Periodicals; DNA -- Periodicals; 572.87
• DOI: 10.2217/epi-2017-0101
• Languages: English
• ISSNs: 1750-1911

Abstract

Aim: We conducted a joint metabolomic–epigenomic study to identify patterns of epigenetic associations with smoking-related metabolites.Patients & methods: We performed an untargeted metabolome-wide association study of smoking and epigenome-wide association studies of smoking-related metabolites among 180 male twins. We examined the patterns of epigenetic association linked to smoking-related metabolites using hierarchical clustering.Results: Among 12 annotated smoking-related metabolites identified from a metabolome-wide association study, we observed significant hypomethylation associated with increased level of N-acetylpyrrolidine, cotinine, 5-hydroxycotinine and nicotine and hypermethylation associated with increased level of 8-oxoguanine. Hierarchical clustering revealed common and unique epigenetic–metabolic associations related to smoking.Conclusion: Our study suggested that a joint metabolome–epigenome approach can reveal additional details in molecular responses to the environmental exposure to understand disease risk.