Liu Minne, Yu Xianfeng, Shi Jie, Su Jiahui, Wei Min, Zhu Qingshuang
Department of Education, Xuanwu Hospital Capital Medical University, Beijing 100053, China.
School of General Practice and Continuing Education, Capital Medical University, Beijing 100069, China.
Heliyon. 2024 Jun 27;10(13):e33638. doi: 10.1016/j.heliyon.2024.e33638. eCollection 2024 Jul 15.
Gestational diabetes mellitus (GDM) is a common condition observed globally, and previous studies have suggested a link between GDM and insomnia. The objective of this study was to elucidate the causative relationship between insomnia and GDM, and to investigate the influence of factors related to insomnia on GDM.
We performed bidirectional Mendelian randomization (MR) analyses using single nucleotide polymorphisms (SNPs) as genetic instruments for exposure and mediators, thereby minimizing bias due to confounding and reverse causation. The Cochran Q test was utilized for heterogeneity analysis, MR-Egger regression for pleiotropy assessment, and the leave-one-out method for evaluating the robustness of the results. Additionally, we determined the causal relationships between GDM and other factors such as coffee consumption, alcohol intake, and household income.
Insomnia was positively associated with GDM, as indicated by 39 SNPs (OR = 1.27, 95 % CI 1.12-1.439, P-value = 0.008). Conversely, the MR analysis did not reveal any causal relationship between GDM and insomnia (OR = 1.032, 95 % CI 0.994-1.071, P-value = 0.99). Additionally, no causal relationship was observed between coffee consumption, alcohol intake, household income, and GDM (all P-values >0.05).
Our study indicates that insomnia elevates the risk of GDM, thereby establishing a causal link with GDM, independent of coffee consumption, alcohol intake, and household income.
妊娠期糖尿病(GDM)是全球常见的一种疾病,既往研究提示GDM与失眠之间存在关联。本研究的目的是阐明失眠与GDM之间的因果关系,并探讨与失眠相关的因素对GDM的影响。
我们使用单核苷酸多态性(SNP)作为暴露和中介因素的遗传工具进行双向孟德尔随机化(MR)分析,从而最大限度地减少混杂因素和反向因果关系导致的偏差。采用Cochran Q检验进行异质性分析,采用MR-Egger回归进行多效性评估,并采用留一法评估结果的稳健性。此外,我们还确定了GDM与其他因素(如咖啡饮用、酒精摄入和家庭收入)之间的因果关系。
39个SNP表明失眠与GDM呈正相关(比值比[OR]=1.27,95%可信区间[CI]1.12-1.439,P值=0.008)。相反,MR分析未显示GDM与失眠之间存在因果关系(OR=1.032,95%CI 0.994-1.071,P值=0.99)。此外,未观察到咖啡饮用、酒精摄入、家庭收入与GDM之间存在因果关系(所有P值>0.05)。
我们的研究表明,失眠会增加GDM的风险,从而建立起与GDM的因果联系,且独立于咖啡饮用、酒精摄入和家庭收入。