Zhu Tao, Zhan Gao, Shang Zheng, Ying Zhao
Department of Gynecology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China.
Heliyon. 2024 Jul 30;10(15):e35401. doi: 10.1016/j.heliyon.2024.e35401. eCollection 2024 Aug 15.
Systemic lupus erythematosus (SLE) is associated with adverse pregnancy outcome (APO). However, the genetic causality of this association remains unclear. In this study, Mendelian randomization (MR) was used to explore the potential causal relationship between SLE and APO risk.
We selected 45 single nucleotide polymorphisms (SNPs) associated with SLE from published genome-wide association studies (GWAS). APO's statistics are obtained from the GWAS database. MR estimates were performed using the inverse variance-weighted (IVW) method, the MR-Egger method, and the weighted median (WM) method. Sensitivity analysis was performed using Cochran's Q test, MR-Egger intercept, MR-pleiotropic residual and outlier method, stay-one analysis and funnel plot.
The results showed a causal relationship between SLE and pre-eclampsia (OR = 1.036, 95 % confidence interval 1.006 to 1.068, P = 0.019), and no significant causal relationship was found between SLE and other adverse pregnancy outcomes, including postpartum hemorrhage, placental abruption, spontaneous abortion, premature rupture of membranes, fetal distress, gestational diabetes mellitus. These findings were robust in several sensitivity analyses.
This MR study demonstrated the causal effect of SLE on preeclampsia. It provides important clues for identifying and early predicting risk factors for preeclampsia.
系统性红斑狼疮(SLE)与不良妊娠结局(APO)相关。然而,这种关联的遗传因果关系仍不清楚。在本研究中,采用孟德尔随机化(MR)方法探讨SLE与APO风险之间的潜在因果关系。
我们从已发表的全基因组关联研究(GWAS)中选择了45个与SLE相关的单核苷酸多态性(SNP)。APO的统计数据来自GWAS数据库。使用逆方差加权(IVW)法、MR-Egger法和加权中位数(WM)法进行MR估计。使用 Cochr an's Q检验、MR-Egger截距、MR多效性残差和异常值法、留一分析和漏斗图进行敏感性分析。
结果显示SLE与子痫前期之间存在因果关系(OR = 1.036,95%置信区间1.006至1.068,P = 0.019),而在SLE与其他不良妊娠结局之间未发现显著因果关系,包括产后出血、胎盘早剥、自然流产、胎膜早破、胎儿窘迫、妊娠期糖尿病。这些发现在多项敏感性分析中具有稳健性。
这项MR研究证明了SLE对子痫前期的因果效应。它为识别和早期预测子痫前期的危险因素提供了重要线索。