Li Zhongting, Lin Mingzhi
Affiliated Hospital of Jining Medical University (Clinical Medical College), Jining Medical University, Jining, China.
Department of Thoracic Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, LanZhou, China.
Medicine (Baltimore). 2025 Sep 5;104(36):e44415. doi: 10.1097/MD.0000000000044415.
Preeclampsia (PE) is a serious pregnancy condition. Having type 1 diabetes (T1D) during pregnancy increases the risk of adverse outcomes for both mother and baby. However, it is unclear whether T1D directly constitutes a risk factor for preeclampsia. The aim of this study was to investigate the causal relationship between T1D and PE using Mendelian randomization. Two-sample Mendelian randomization (TSMR) and multivariate Mendelian randomization (MVMR) were used to study the relationship between T1D and PE. MR Analysis showed that there was statistical significance between T1D and PE (P = .003, OR = 1.048, 95% CI = 1.016-1.080). In addition, complications associated with T1D also had a statistically significant causal relationship with PE. Multivariate Mendelian randomization analysis further confirmed that adjusting for hypertension and BMI did not change the original conclusions. This study provides evidence that genetically predicted T1D and its complications exert a distinct causal influence on the progression of PE.
子痫前期(PE)是一种严重的妊娠疾病。孕期患有1型糖尿病(T1D)会增加母婴出现不良结局的风险。然而,尚不清楚T1D是否直接构成子痫前期的危险因素。本研究的目的是使用孟德尔随机化方法探讨T1D与PE之间的因果关系。采用两样本孟德尔随机化(TSMR)和多变量孟德尔随机化(MVMR)来研究T1D与PE之间的关系。孟德尔随机化分析显示T1D与PE之间存在统计学意义(P = 0.003,OR = 1.048,95% CI = 1.016 - 1.080)。此外,与T1D相关的并发症与PE也存在统计学意义的因果关系。多变量孟德尔随机化分析进一步证实,调整高血压和体重指数(BMI)不会改变原结论。本研究提供了证据,表明基因预测的T1D及其并发症对PE的进展具有独特的因果影响。