Department of Vascular Surgery, Qingdao Municipal Hospital, Qingdao, China.
Front Immunol. 2024 Aug 16;15:1432041. doi: 10.3389/fimmu.2024.1432041. eCollection 2024.
A growing body of research has shown a strong connection between circulating inflammatory proteins and Peripheral artery disease (PAD). However, the causal relationship between circulating inflammatory proteins and PAD is still not fully understood. To investigate this association, we conducted a bidirectional Mendelian randomization study.
Our study utilized genetic variation data obtained from genome-wide association studies (GWAS) datasets. Specifically, the GWAS dataset related to PAD (identifier: finn-b-I9_PAD) included 7,098 cases and 206,541 controls. Additionally, we extracted data on 91 inflammatory proteins from another GWAS dataset (identifiers: GCST90274758-GCST90274848), involving 14,824 participants. To assess the causal relationship between circulating inflammatory proteins and PAD development, we employed methodologies such as inverse variance weighting (IVW), MR Egger regression, and the weighted median approach. Furthermore, sensitivity analyses were conducted to ensure the reliability and robustness of our findings.
Two inflammatory proteins were found to be significantly associated with PAD risk: Natural killer cell receptor 2B4 levels (OR, 1.219; 95% CI,1.0191.457; P=0.03), Fractalkine levels (OR, 0.755; 95% CI=0.5910.965; P=0.025). PAD had statistically significant effects on 12 inflammatory proteins: C-C motif chemokine 19 levels (OR, 0.714; 95% CI, 0.585 to 0.872; P=0.001), T-cell surface glycoprotein CD5 levels (OR, 0.818; 95% CI, 0.713 to 0.938; P=0.004), CUB domain-containing protein 1 levels (OR, 0.889; 95% CI, 0.809 to 0.977; P=0.015), Fibroblast growth factor 23 levels (OR, 1.129; 95% CI, 1.009 to 1.264; P=0.034), Interferon gamma levels (OR, 1.124; 95% CI, (1.011 to 1.250); P=0.031),Interleukin-15 receptor subunit alpha levels (OR, 1.183; 95% CI,(1.005 to 1.392); P=0.044), Interleukin-17C levels (OR,1.186; 95% CI, (1.048 to 1.342); P=0.007), Interleukin-1-alpha levels (OR, 1.349; 95% CI, (1.032 to 1.765); P=0.029), Interleukin-5 levels (OR, 1.119; 95% CI,(1.003 to 1.248); P=0.043), Latency-associated peptide transforming growth factor beta 1 levels (OR,1.123; 95% CI, (1.020 to 1.236); P=0.018), Matrix metalloproteinase-10 levels (OR, 1.119; 95% CI,(1.015 to 1.233); P=0.024), Signaling lymphocytic activation molecule levels (OR, 0.823; 95% CI, (0.693 to 0.978); P=0.027).
Our research expands on genetic studies exploring the strong association between circulating inflammatory proteins and PAD. This discovery has the potential to inform and shape future clinical and basic research endeavors in this area.
越来越多的研究表明,循环炎症蛋白与外周动脉疾病(PAD)之间存在密切关联。然而,循环炎症蛋白与 PAD 之间的因果关系尚不完全清楚。为了探究这种关联,我们进行了一项双向孟德尔随机化研究。
我们的研究利用了来自全基因组关联研究(GWAS)数据集的遗传变异数据。具体来说,与 PAD 相关的 GWAS 数据集(标识符:finn-b-I9_PAD)包含 7098 例病例和 206541 例对照。此外,我们从另一个 GWAS 数据集(标识符:GCST90274758-GCST90274848)中提取了 91 种炎症蛋白的数据,涉及 14824 名参与者。为了评估循环炎症蛋白与 PAD 发展之间的因果关系,我们采用了逆方差加权(IVW)、MR Egger 回归和加权中位数方法等方法。此外,还进行了敏感性分析以确保研究结果的可靠性和稳健性。
有两种炎症蛋白与 PAD 风险显著相关:自然杀伤细胞受体 2B4 水平(OR,1.219;95%CI,1.0191.457;P=0.03)和趋化因子配体 16 水平(OR,0.755;95%CI,0.5910.965;P=0.025)。PAD 对 12 种炎症蛋白有统计学显著影响:C-C 基序趋化因子 19 水平(OR,0.714;95%CI,0.585 至 0.872;P=0.001)、T 细胞表面糖蛋白 CD5 水平(OR,0.818;95%CI,0.713 至 0.938;P=0.004)、CUB 结构域蛋白 1 水平(OR,0.889;95%CI,0.809 至 0.977;P=0.015)、成纤维细胞生长因子 23 水平(OR,1.129;95%CI,1.009 至 1.264;P=0.034)、干扰素γ水平(OR,1.124;95%CI,(1.011 至 1.250);P=0.031)、白细胞介素-15 受体亚单位α水平(OR,1.183;95%CI,(1.005 至 1.392);P=0.044)、白细胞介素-17C 水平(OR,1.186;95%CI,(1.048 至 1.342);P=0.007)、白细胞介素-1α水平(OR,1.349;95%CI,(1.032 至 1.765);P=0.029)、白细胞介素-5 水平(OR,1.119;95%CI,(1.003 至 1.248);P=0.043)、潜伏相关肽转化生长因子β1 水平(OR,1.123;95%CI,(1.020 至 1.236);P=0.018)、基质金属蛋白酶-10 水平(OR,1.119;95%CI,(1.015 至 1.233);P=0.024)和信号淋巴细胞激活分子水平(OR,0.823;95%CI,(0.693 至 0.978);P=0.027)。
本研究扩展了遗传研究,探讨了循环炎症蛋白与 PAD 之间的强关联。这一发现有可能为该领域的未来临床和基础研究提供信息和指导。