Smoking induces coordinated DNA methylation and gene expression changes in adipose tissue with consequences for metabolic health

• Main Authors: Pei-Chien Tsai, Craig A. Glastonbury, Melissa N. Eliot, Sailalitha Bollepalli, Idil Yet, Juan E. Castillo-Fernandez, Elena Carnero-Montoro, Thomas Hardiman, Tiphaine C. Martin, Alice Vickers, Massimo Mangino, Kirsten Ward, Kirsi H. Pietiläinen, Panos Deloukas, Tim D. Spector, Ana Viñuela, Eric B. Loucks, Miina Ollikainen, Karl T. Kelsey, Kerrin S. Small, Jordana T. Bell
• Format: Article
• Language: English
• Published: BMC 2018-10-01
• Series: Clinical Epigenetics
• Subjects: Smoking; DNA methylation; Gene expression; RNA-sequencing; Adipose tissue
• Online Access: http://link.springer.com/article/10.1186/s13148-018-0558-0

Abstract Background Tobacco smoking is a risk factor for multiple diseases, including cardiovascular disease and diabetes. Many smoking-associated signals have been detected in the blood methylome, but the extent to which these changes are widespread to metabolically relevant tissues, and impact gene expression or metabolic health, remains unclear. Methods We investigated smoking-associated DNA methylation and gene expression variation in adipose tissue biopsies from 542 healthy female twins. Replication, tissue specificity, and longitudinal stability of the smoking-associated effects were explored in additional adipose, blood, skin, and lung samples. We characterized the impact of adipose tissue smoking methylation and expression signals on metabolic disease risk phenotypes, including visceral fat. Results We identified 42 smoking-methylation and 42 smoking-expression signals, where five genes (AHRR, CYP1A1, CYP1B1, CYTL1, F2RL3) were both hypo-methylated and upregulated in current smokers. CYP1A1 gene expression achieved 95% prediction performance of current smoking status. We validated and replicated a proportion of the signals in additional primary tissue samples, identifying tissue-shared effects. Smoking leaves systemic imprints on DNA methylation after smoking cessation, with stronger but shorter-lived effects on gene expression. Metabolic disease risk traits such as visceral fat and android-to-gynoid ratio showed association with methylation at smoking markers with functional impacts on expression, such as CYP1A1, and at tissue-shared smoking signals, such as NOTCH1. At smoking-signals, BHLHE40 and AHRR DNA methylation and gene expression levels in current smokers were predictive of future gain in visceral fat upon smoking cessation. Conclusions Our results provide the first comprehensive characterization of coordinated DNA methylation and gene expression markers of smoking in adipose tissue. The findings relate to human metabolic health and give insights into understanding the widespread health consequence of smoking outside of the lung.