循环蛋白与外周动脉疾病风险:观察性和孟德尔随机化分析

Shuai Yuan, Olga E Titova, Ke Zhang, Jie Chen, Xue Li, Derek Klarin, Agneta Åkesson, Scott M Damrauer, Susanna C Larsson
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引用次数: 0

摘要

目的:我们通过观察性和孟德尔随机化(MR)分析来探讨血液蛋白与外周动脉疾病(PAD)风险之间的关系。方法和结果:观察性队列分析包括12136名年龄在55-94岁的瑞典成年人的空腹血液样本中257种蛋白质的数据,这些成年人通过瑞典患者登记册对PAD事件进行了随访。采用FinnGen研究(11 924例,288 638例对照)和百万退伍军人计划(31 307例,211 753例对照)的PAD遗传关联汇总统计数据作为工具变量和顺式遗传变异,进行孟德尔随机化分析。这项观察性分析包括86名确诊为PAD的患者,随访时间中位数为6.6年,共鉴定出13种蛋白[三叶因子2、基质金属蛋白酶-12 (MMP-12)、生长分化因子15、v集和含免疫球蛋白结构域蛋白2、n端激素原脑利钠肽、肾素、利钠肽B、与鞘糖脂富集微结构域相关的磷酸化蛋白1、C-C基序趋化因子15、p -选择素、p -选择素、p -选择素、p -选择素和p -选择素]。尿激酶纤溶酶原激活物表面受体、血管生成素-2和c型凝集素结构域家族5成员A]与多次检测校正后PAD的风险相关。孟德尔随机分析发现t细胞表面糖蛋白CD4、MMP-12、分泌珠蛋白家族3A成员2和ADM与PAD风险相关。t细胞表面糖蛋白CD4和MMP-12的观察和MR相关性相反。结论:本研究确定了许多与PAD发病有关的循环蛋白。未来的研究需要验证我们的发现,并评估这些蛋白在PAD中的预测和治疗价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Circulating proteins and peripheral artery disease risk: observational and Mendelian randomization analyses.

Aims: We conducted observational and Mendelian randomization (MR) analyses to explore the associations between blood proteins and risk of peripheral artery disease (PAD).

Methods and results: The observational cohort analyses included data on 257 proteins estimated in fasting blood samples from 12 136 Swedish adults aged 55-94 years who were followed up for incident PAD via the Swedish Patient Register. Mendelian randomization analyses were undertaken using cis-genetic variants strongly associated with the proteins as instrumental variables and genetic association summary statistic data for PAD from the FinnGen study (11 924 cases and 288 638 controls) and the Million Veteran Program (31 307 cases and 211 753 controls). The observational analysis, including 86 individuals diagnosed with incident PAD during a median follow-up of 6.6-year, identified 13 proteins [trefoil factor two, matrix metalloproteinase-12 (MMP-12), growth differentiation factor 15, V-set and immunoglobulin domain-containing protein two, N-terminal prohormone brain natriuretic peptide, renin, natriuretic peptides B, phosphoprotein associated with glycosphingolipid-enriched microdomains one, C-C motif chemokine 15, P-selectin, urokinase plasminogen activator surface receptor, angiopoietin-2, and C-type lectin domain family five member A] associated with the risk of PAD after multiple testing correction. Mendelian randomization analysis found associations of T-cell surface glycoprotein CD4, MMP-12, secretoglobin family 3A member 2, and ADM with PAD risk. The observational and MR associations for T-cell surface glycoprotein CD4 and MMP-12 were in opposite directions.

Conclusion: This study identified many circulating proteins in relation to the development of incident PAD. Future studies are needed to verify our findings and assess the predictive and therapeutic values of these proteins in PAD.

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