循环细胞因子水平与主动脉瘤和主动脉夹层风险的因果关系: 双向两样本孟德尔随机化研究

Causal relationships between the circulating levels of cytokines and risk of aortic aneurysm and aortic dissection: a bidirectional two-sample Mendelian randomization study

  • 摘要:
    目的 采用两样本孟德尔随机化(MR)分析评估循环细胞因子(CCs)与主动脉瘤(AA)和主动脉夹层(AD)(统称AAD)的因果关系。
    方法 基于全基因组关联研究(GWASs)(n=8 293)的meta分析,获取与CCs相关的遗传变异作为工具变量;并从芬兰数据库中获得AAD相关的GWASs统计数据作为结局,所有样品均来自于欧洲人群。结局数据的对照组有349 539例,AD为881例,AA为7 395例,其中胸主动脉瘤(TAA)和腹主动脉瘤(AAA)分别为3 510例和3 548例。以逆方差加权法作为主要的分析方法,采用加权中位数法、MR-Egger回归、MR多效残差和和离群值检验作为补充,并进行相应的敏感性分析。应用反向MR分析评估反向因果关系。
    结果 在正向MR分析中,经Bonferroni校正后,显示TNF相关凋亡诱导配体(TRAIL)水平升高是AD的危险因素(OR=1.25, P=0.000 2),而其余阳性结果(0.000 2<P<0.05)提示以下两者之间存在潜在因果关系,其中包括: TRAIL与AA(OR=1.06)、TAA(OR=1.09)之间,单核细胞趋化蛋白-1(MCP-1)与AA(OR=1.13)、TAA(OR=1.18)、AD(OR=1.46)之间,干扰素-γ(IFN-γ)与AA(OR=0.82)和TAA(OR=0.75)之间,白细胞介素(IL)-16(OR=0.9)、IFN-γ诱导的单核因子(MIG)(OR=1.14)、巨噬细胞炎性蛋白-1β(MIP-1β)(OR=0.96)与TAA之间。在反向MR分析中,AAD与部分CCs存在潜在的因果关系,其中包括: AA与MCP-1呈正相关关系,TAA与嗜酸细胞活化趋化因子(EOTAXIN)呈正相关关系,而与IL-13呈负相关关系;AD分别与β神经生长因子(β-NGF)、IL-1b、IL-8和肿瘤坏死因子-α(TNF-α)呈正相关关系。敏感性分析结果提示CCs与AAD的因果效应无异质性和多效性。
    结论 循环中TRAIL、MCP-1水平与AD、AA、TAA发生风险具有潜在因果相关性,这可能为早期筛选AD、AA、TAA患者和治疗药物研发提供了潜在靶点。

     

    Abstract:
    Objective To evaluate the causal relationships between circulating cytokines (CCs) and aortic aneurysm (AA) and aortic dissection (AD) collectively known as AAD using two-sample Mendelian randomization (MR) analysis.
    Methods A meta-analysis based on genome-wide association studies (GWASs) involving 8, 293 individuals was conducted to obtain genetic variations associated with CCs as instrumental variables. The AADrelated GWAS statistics data were obtained from the Finnish database as the outcome, with all samples originating from European populations. The control group for the outcome data comprised 349, 539 individuals, with 881 cases of AD and 7, 395 AA. Among these, thoracic aortic aneurysms (TAA) accounted for 3, 510 cases, and abdominal aortic aneurysms (AAA) for 3, 548 cases. The study utilized inverse variance weighting as the primary analytical method, complemented by weighted median method, MR-Egger regression, MR pleiotropy residual sum and outlier test, and corresponding sensitivity analyses. Finally, reverse MR analysis was employed to assess reverse causal relationships.
    Results In the forward MR analysis following Bonferroni correction, it was observed that elevated levels of TNF-related apoptosis-inducing ligand (TRAIL) were identified as a risk factor for AD (OR=1.25, P=0.0002), while the other positive results (0.0002 < P < 0.05) indicated potential causal relationships as follows: TRAIL with AA (OR=1.06) and TAA (OR=1.09); monocyte chemoattractant protein-1 (MCP-1) with AA (OR=1.13), TAA (OR=1.18), and AD (OR=1.46); IFN-γ with AA (OR=0.82) and TAA (OR=0.75); interleukin-16 (IL-16) (OR=0.9), interferon-gamma-induced monocyte chemoattractant protein (MIG) (OR=1.14), and macrophage inflammatory protein-1 beta (MIP-1β) (OR=0.96) with TAA. In the reverse MR analysis, potential causal relationships were identified between AAD and some CCs, including a positive correlation between AA and MCP-1; a positive correlation between TAA and eosinophil activating chemotactic factor (EOTAXIN) and a negative correlation with IL-13; and positive correlations between AD and beta nerve growth factor (β-NGF), IL- 1β, IL-8, and tumor necrosis factor-alpha (TNF-a). Sensitivity analysis results indicated no heterogeneity or pleiotropy in the causal effects between CCs and AAD.
    Conclusion The levels of TRAIL and MCP-1 in circulation are causally related to the risk of developing AD, AA, and TAA, indicating a potential target for early screening of patients with AD, AA, and TAA as well as for the development of therapeutic drugs.

     

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