Wang Qitong, Cai Benchi, Zhong Lifan, Intirach Jitrawadee, Chen Tao
Department of Neurology, Hainan General Hospital, Hainan Afliated Hospital of Hainan Medical University, 570311, Haikou, Hainan, China.
Hainan Provincial Bureau of Disease Prevention and Control, 570100, Haikou, China.
Diabetol Metab Syndr. 2024 Mar 5;16(1):59. doi: 10.1186/s13098-024-01299-8.
Observational studies have indicated an association between diabetes mellitus (DM), glycemic traits, and the occurrence of Parkinson's disease (PD). However, the complex interactions between these factors and the presence of a causal relationship remain unclear. Therefore, we aim to systematically assess the causal relationship between diabetes, glycemic traits, and PD onset, risk, and progression.
We used two-sample Mendelian randomization (MR) to investigate potential associations between diabetes, glycemic traits, and PD. We used summary statistics from genome-wide association studies (GWAS). In addition, we employed multivariable Mendelian randomization to evaluate the mediating effects of anti-diabetic medications on the relationship between diabetes, glycemic traits, and PD. To ensure the robustness of our findings, we performed a series of sensitivity analyses.
In our univariable Mendelian randomization (MR) analysis, we found evidence of a causal relationship between genetic susceptibility to type 1 diabetes (T1DM) and a reduced risk of PD (OR = 0.9708; 95% CI: 0.9466, 0.9956; P = 0.0214). In our multivariable MR analysis, after considering the conditions of anti-diabetic drug use, this correlation disappeared with adjustment for potential mediators, including anti-diabetic medications, insulin use, and metformin use.
Our MR study confirms a potential protective causal relationship between genetically predicted type 1 diabetes and reduced risk of PD, which may be mediated by factors related to anti-diabetic medications.
观察性研究表明糖尿病(DM)、血糖特征与帕金森病(PD)的发生之间存在关联。然而,这些因素之间的复杂相互作用以及因果关系的存在仍不明确。因此,我们旨在系统评估糖尿病、血糖特征与PD发病、风险及进展之间的因果关系。
我们使用两样本孟德尔随机化(MR)来研究糖尿病、血糖特征与PD之间的潜在关联。我们使用了全基因组关联研究(GWAS)的汇总统计数据。此外,我们采用多变量孟德尔随机化来评估抗糖尿病药物对糖尿病、血糖特征与PD之间关系的中介作用。为确保我们研究结果的稳健性,我们进行了一系列敏感性分析。
在我们的单变量孟德尔随机化(MR)分析中,我们发现1型糖尿病(T1DM)的遗传易感性与PD风险降低之间存在因果关系的证据(OR = 0.9708;95%CI:0.9466,0.9956;P = 0.0214)。在我们的多变量MR分析中,在考虑抗糖尿病药物使用情况后,在对包括抗糖尿病药物、胰岛素使用和二甲双胍使用等潜在中介因素进行调整后,这种相关性消失了。
我们的MR研究证实了遗传预测的1型糖尿病与PD风险降低之间存在潜在的保护性因果关系,这可能由与抗糖尿病药物相关的因素介导。