Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan.
Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Eur J Neurol. 2022 Oct;29(10):2956-2966. doi: 10.1111/ene.15475. Epub 2022 Jul 5.
Multiple system atrophy (MSA) has no definitive genetic or environmental (G-E) risk factors, and the integrated effect of these factors on MSA etiology remains unknown. This study was undertaken to investigate the integrated effect of G-E factors associated with MSA and its subtypes, MSA-P and MSA-C.
A consecutive case-control study was conducted at two medical centers, and the interactions between genotypes of five previously reported susceptible single nucleotide polymorphisms (SNPs; SNCA_rs3857059, SNCA_rs11931074, COQ2_rs148156462, EDN1_rs16872704, MAPT_rs9303521) and graded exposure (never, ever, current) of four environmental factors (smoking, alcohol, drinking well water, pesticide exposure) were analyzed by a stepwise logistic regression model.
A total of 207 MSA patients and 136 healthy controls were enrolled. In addition to SNP COQ2_rs148156462 (TT), MSA risk was correlated with G-E interactions, including COQ2_rs148156462 (Tc) × pesticide nonexposure, COQ2_rs148156462 (TT) × current smokers, SNCA_rs11931074 (tt) × alcohol nonusers, and SNCA_rs11931074 (GG) × well water nondrinkers (all p < 0.01), with an area under the receiver operating characteristic curve (AUC) of 0.804 (95% confidence interval [CI] = 0.671-0.847). Modulated risk of MSA-C, with MSA-P as a control, correlated with COQ2_rs148156462 (TT) × alcohol nondrinkers, SNCA_rs11931074 (GG) × well water ever drinkers, SNCA_rs11931074 (Gt) × well water never drinkers, and SNCA_rs3857059 (gg) × pesticide nonexposure (all p < 0.05), with an AUC of 0.749 (95% CI = 0.683-0.815).
Certain COQ2 and SNCA SNPs interact with common environmental factors to modulate MSA etiology and subtype disposition. The mechanisms underlying the observed correlation between G-E interactions and MSA etiopathogenesis warrant further investigation.
多系统萎缩(MSA)没有明确的遗传或环境(G-E)危险因素,这些因素的综合影响对 MSA 病因仍不清楚。本研究旨在探讨与 MSA 及其亚型 MSA-P 和 MSA-C 相关的 G-E 因素的综合效应。
在两家医疗中心进行了一项连续病例对照研究,通过逐步逻辑回归模型分析了五个先前报道的易感单核苷酸多态性(SNP;SNCA_rs3857059、SNCA_rs11931074、COQ2_rs148156462、EDN1_rs16872704、MAPT_rs9303521)的基因型与四个环境因素(吸烟、饮酒、饮用井水、农药暴露)的分级暴露(从不、曾经、当前)之间的相互作用。
共纳入 207 例 MSA 患者和 136 例健康对照者。除 SNP COQ2_rs148156462(TT)外,MSA 风险与 G-E 相互作用相关,包括 COQ2_rs148156462(Tc)×无农药暴露、COQ2_rs148156462(TT)×当前吸烟者、SNCA_rs11931074(tt)×非饮酒者和 SNCA_rs11931074(GG)×非饮用井水者(均 P<0.01),受试者工作特征曲线(ROC)下面积(AUC)为 0.804(95%置信区间[CI]:0.671-0.847)。以 MSA-P 为对照,MSA-C 的风险调节与 COQ2_rs148156462(TT)×非饮酒者、SNCA_rs11931074(GG)×曾饮用井水者、SNCA_rs11931074(Gt)×从未饮用井水者和 SNCA_rs3857059(gg)×无农药暴露相关(均 P<0.05),AUC 为 0.749(95%CI:0.683-0.815)。
某些 COQ2 和 SNCA SNP 与常见环境因素相互作用,调节 MSA 的病因和亚型分布。观察到的 G-E 相互作用与 MSA 发病机制之间的相关性的潜在机制需要进一步研究。