Li Pengsheng, Wang Haiyan, Chen Ting, Chen Gengdong, Zhou Zixing, Ye Shaoxin, Lin Dongxin, Fan Dazhi, Guo Xiaoling, Liu Zhengping
Foshan Fetal Medicine Research Institute, Foshan Women and Children Hospital, Foshan, China.
Department of Ultrasound, Foshan Women and Children Hospital, Foshan, China.
J Trace Elem Med Biol. 2024 Dec;86:127528. doi: 10.1016/j.jtemb.2024.127528. Epub 2024 Sep 10.
Several recent observational studies have reported that iron overload during pregnancy is associated with preeclampsia (PE) and gestational hypertension (GH). However, the causal association between iron status, PE, and GH is still not clear.
We performed a two-sample Mendelian randomization (MR) study using the genome-wide association study (GWAS) summary statistics of iron status, included serum iron, ferritin, total iron-binding capacity (TIBC), and transferrin saturation (TSAT) from the largest available GWAS meta-analysis, and the summary statistics of PE and GH were obtained from the FinnGen consortium. Fixed-effect inverse variance weighted (IVW), random-effect IVW, maximum likelihood (ML), MR-Egger regression, weighted median, and MR-PRESSO methods were used.
A total of 21, 58, 28, and 22 SNPs were used as IVs for serum iron, ferritin, TIBC, and TSAT, respectively. The F-statistics of IVs ranged from 95.23 to 421.36. The results of the fixed effects IVW method suggested that for per SD unit increase in serum iron, the risk of PE increases by 24 % (OR = 1.24, 95 % CI: 1.03-1.50, P = 0.02). No significant heterogeneity or horizontal pleiotropy was found. The association between ferritin, TIBC, TSAT and PE were statistically insignificant (P>0.05). Furthermore, the results of each MR methods do not support a causal association between iron status and GH, nor a reverse causal association between PE and GH and iron status.
This two-sample MR study provides evidence supporting a causal association between serum iron level and PE.
最近的几项观察性研究报告称,孕期铁过载与子痫前期(PE)和妊娠期高血压(GH)有关。然而,铁状态、PE和GH之间的因果关系仍不明确。
我们使用铁状态的全基因组关联研究(GWAS)汇总统计数据进行了一项两样本孟德尔随机化(MR)研究,铁状态包括血清铁、铁蛋白、总铁结合力(TIBC)和转铁蛋白饱和度(TSAT),这些数据来自现有最大规模的GWAS荟萃分析,PE和GH的汇总统计数据则取自芬兰基因组联盟。我们使用了固定效应逆方差加权(IVW)、随机效应IVW、最大似然(ML)、MR-Egger回归、加权中位数和MR-PRESSO方法。
分别有21、58、28和22个单核苷酸多态性(SNP)被用作血清铁、铁蛋白、TIBC和TSAT的工具变量(IV)。IV的F统计量范围为95.23至421.36。固定效应IVW方法的结果表明,血清铁每增加1个标准差单位,PE风险增加24%(比值比[OR]=1.24,95%置信区间[CI]:1.03-1.50,P=0.02)。未发现显著的异质性或水平多效性。铁蛋白、TIBC、TSAT与PE之间的关联无统计学意义(P>0.05)。此外,每种MR方法的结果均不支持铁状态与GH之间存在因果关系,也不支持PE与GH和铁状态之间存在反向因果关系。
这项两样本MR研究提供了证据,支持血清铁水平与PE之间存在因果关系。