磷脂酰胆碱对痛经的影响：孟德尔随机化分析的确定性见解。
Phosphatidylcholine's influence on Dysmenorrhea: conclusive insights from Mendelian randomization analysis.
作者信息
Li Yuzheng, Zhou Shiyao, Huang Yuchen, Yu Qiuhao, Wu Qibiao
机构信息
Faculty of Chinese Medicine, and State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China.
Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou, China.
出版信息
Front Genet. 2024 Sep 23;15:1404215. doi: 10.3389/fgene.2024.1404215. eCollection 2024.
INTRODUCTION
This study aimed to investigate the causal relationship between phosphatidylcholine (PC) levels and dysmenorrhea using Mendelian randomization (MR) analysis.
METHODS
We conducted a two-sample MR analysis using GWAS data on PC levels and dysmenorrhea. Single nucleotide polymorphisms (SNPs) associated with PC levels were used as instrumental variables. MR-Egger regression and inverse variance weighting (IVW) were used to estimate the causal effect of PC levels on dysmenorrhea. Sensitivity analyses were performed to assess the robustness of the results.
RESULTS
The IVW analysis revealed a significant positive association between higher PC levels and dysmenorrhea (OR: 1.533, 95% CI: 1.039-2.262, = 0.031). The MR-Egger regression did not detect pleiotropy. Sensitivity analyses confirmed the robustness of the results.
CONCLUSION
This study provides evidence suggesting a causal link between increased PC levels and dysmenorrhea. Further research is needed to understand the biological mechanisms underlying this relationship and to explore potential therapeutic implications.
引言
本研究旨在使用孟德尔随机化（MR）分析来探究磷脂酰胆碱（PC）水平与痛经之间的因果关系。
方法
我们使用了关于PC水平和痛经的全基因组关联研究（GWAS）数据进行两样本MR分析。与PC水平相关的单核苷酸多态性（SNP）被用作工具变量。采用MR-Egger回归和逆方差加权（IVW）来估计PC水平对痛经的因果效应。进行敏感性分析以评估结果的稳健性。
结果
IVW分析显示，较高的PC水平与痛经之间存在显著的正相关（比值比：1.533，95%置信区间：1.039 - 2.262，P = 0.031）。MR-Egger回归未检测到多效性。敏感性分析证实了结果的稳健性。
结论
本研究提供了证据，表明PC水平升高与痛经之间存在因果联系。需要进一步的研究来了解这种关系背后的生物学机制，并探索潜在的治疗意义。
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