한빛사논문
- 조회526
Sehoon Park1,2, Seong Geun Kim2, Soojin Lee3,4, Yaerim Kim5, Semin Cho6, Kwangsoo Kim7, Yong Chul Kim2, Seung Seok Han2,8, Hajeong Lee2,4, Jung Pyo Lee4,8,9, Kwon Wook Joo2,4,8, Chun Soo Lim4,8,9, Yon Su Kim1,2,4,8 & Dong Ki Kim2,4,8*
1Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea;
2Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea;
3Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Seoul, South Korea;
4Department of Internal Medicine, SeoulNational University College of Medicine, Seoul, South Korea;
5Department of Internal Medicine, Keimyung University School of Medicine, Daegu, South Korea;
6Departmentof Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gyeonggi-do, South Korea;
7Transdisciplinary Department of Medicine & Advanced Technology, SeoulNational University Hospital, Seoul, South Korea;
8Kidney Research Institute, Seoul National University, Seoul, South Korea;
9Department of Internal Medicine, Seoul NationalUniversity Boramae Medical Center, Seoul, South Korea
Correspondence to: Dong Ki Kim, MD, PhD
Abstract
Background
Ageing traits and frailty are important health issues in modern medicine. Evidence supporting the causal effects of tobacco smoking on various ageing traits is required.
Methods
This study performed Mendelian randomization (MR) analysis instrumenting 377 genetic variants associated with being an ever-smoker at a genome-wide significance level to test the causal estimates from tobacco smoking. The outcome data were obtained from 337 138 white British ancestry participants from the UK Biobank. Leucocyte telomere length, appendicular lean mass index, subjective walking pace, handgrip strength, and wristband accelerometry-determined physical activity degree were collected as ageing-related outcomes. Summary-level MR analysis was performed using the inverse variance-weighted method and pleiotropy-robust MR methods, including weighted median and MR-Egger. Observational association between the outcome traits and phenotypically being an ever-smoker was also investigated.
Results
Summary-level MR analysis indicated that a higher genetic predisposition for tobacco smoking was significantly associated with shorter leucocyte telomere length (twofold increase in prevalence of smoking towards standardized Z-score, −0.041 [−0.054, −0.028]), lower appendicular lean mass index (−0.007 [−0.010, −0.005]), slower walking pace (ordinal category, −0.047 [−0.054, −0.033]) and lower time spent on moderate-to-vigorous physical activity (hours per week, −0.39 [−0.56, −0.23]). The causal estimates were non-significant towards handgrip strength phenotype (kg, 0.074 [−0.055, 0.204]). Pleiotropy-robust MR results generally supported the main causal estimates. The observational findings also showed significant association between being an ever-smoker and the ageing traits.
Conclusions
Genetically predicted and observational tobacco smoking status are significantly associated with poor ageing phenotypes. Healthcare providers may continue to reduce tobacco use, which may be helpful in reducing the burden of ageing and frailty.
논문정보
- Research article
- 2023년 01월 (BRIC 등록일 2023-03-17)
- 국내 연구진
- 의약학 > 응용의학
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