Lin Cheng-Chieh, Li Chia-Ing, Liu Chiu-Shong, Lin Chih-Hsueh, Yang Shing-Yu, Li Tsai-Chung
School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
BMC Endocr Disord. 2025 Mar 28;25(1):87. doi: 10.1186/s12902-025-01910-7.
Numerous epidemiologic observational studies have demonstrated that smokers have an increased risk of developing cardiovascular-related diseases. However, less is known about the causal relationship between tobacco smoking and the metabolic syndrome. This study aimed to determine whether genetically predicted smoking is associated with metabolic syndrome using the Mendelian randomization (MR) approach.
This paper used individual-level genetic and personal data from the Taiwan Biobank dataset, including 80,072 Han Chinese individuals (15,773 cases of metabolic and 64,299 controls; 21,399 smokers and 58,673 nonsmokers). The literature was searched for smoking-associated single nucleotide polymorphisms (SNPs), and 14 SNPs satisfying MR assumptions were identified and used as instrumental variables. Weighted and unweighted genetic risk scores (GRSs) based on these significant SNPs were derived. MR analyses were performed using the two-stage approach of regression models.
Genetically predicted smoking is associated with a higher risk of metabolic syndrome (odds ratio [OR]: 1.49, 95% CI: 1.47-1.52 per 1 standard deviation increase) for weighted and unweighted GRSs. When Q1 was used as the reference group, the adjusted ORs of metabolic syndrome for Q2, Q3, and Q4 were 1.15 (1.08, 1.22), 2.17 (2.05, 2.30), and 4.23 (3.98, 4.49), respectively, for the weighted GRS. The corresponding ORs for Q2, Q3, and Q4 were 1.16 (1.09, 1.24), 2.17 (2.05, 2.30), and 4.26 (4.02, 4.53), respectively, for the unweighted GRS.
Genetic predisposition toward tobacco smoking is strongly associated with a higher likelihood of metabolic syndrome. Further work is warranted to clarify the underlying mechanism of smoking in the development of metabolic syndrome.
大量流行病学观察性研究表明,吸烟者患心血管相关疾病的风险增加。然而,关于吸烟与代谢综合征之间的因果关系,人们了解得较少。本研究旨在使用孟德尔随机化(MR)方法确定基因预测的吸烟是否与代谢综合征相关。
本文使用了台湾生物银行数据集的个体水平遗传和个人数据,包括80,072名汉族个体(15,773例代谢综合征患者和64,299名对照;21,399名吸烟者和58,673名非吸烟者)。检索文献以寻找与吸烟相关的单核苷酸多态性(SNP),并鉴定出14个满足MR假设的SNP,用作工具变量。基于这些显著SNP得出加权和非加权遗传风险评分(GRS)。使用回归模型的两阶段方法进行MR分析。
对于加权和非加权GRS,基因预测的吸烟与代谢综合征风险较高相关(每增加1个标准差,比值比[OR]:1.49,95%置信区间[CI]:1.47 - 1.52)。当以Q1作为参考组时,加权GRS中Q2、Q3和Q4的代谢综合征校正OR分别为1.15(1.08,1.22)、2.17(2.05,2.30)和4.23(3.98,4.49)。非加权GRS中Q2、Q3和Q4的相应OR分别为1.16(1.09,1.24)、2.17(2.05,2.30)和4.26(4.02,4.53)。
吸烟的遗传易感性与代谢综合征的较高可能性密切相关。有必要进一步开展工作以阐明吸烟在代谢综合征发生发展中的潜在机制。