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2型气道炎症性疾病潜在分子靶点的孟德尔随机化分析

Mendelian Randomization Analysis of Potential Molecular Targets for Type 2 Airway Inflammatory Diseases

  • 摘要:
    目的 通过孟德尔随机化(Mendelian randomization, MR)及共定位分析,系统探索2型气道炎症性疾病潜在的病理分子和治疗靶点。
    方法 本研究以4302个可用药血浆蛋白作为暴露因素,利用其顺式表达数量性状位点(cis-expression quantitative trait loci, cis-eQTL)作为工具变量,进行转录水平MR分析。疾病结局数据集来源于英国生物银行和芬兰队列,分别用于发现分析和重复验证。对于成功验证的蛋白,进一步使用顺式蛋白质数量性状位点(cis-protein quantitative trait loci, cis-pQTL)进行蛋白水平MR分析。结合共定位分析、反向MR分析及中介分析,探讨这些血浆蛋白与过敏性鼻炎(allergic rhinitis, AR)、哮喘(asthma, AS)和鼻息肉(nasal polyps, NP)的关联。
    结果 对2528个蛋白进行了cis-eQTL MR分析,发现10个与AR相关的蛋白(TLR10、ERBB3、PNMT等),7个与AS相关的蛋白(ERBB3、SLC40A1、PRKCQ等),3个与NP相关的蛋白(IL18RAP、AXL、ERBB3)。cis-pQTL MR分析显示,IL18RAP与较低的NP疾病风险相关,ERBB3与较低的AR、AS和NP疾病风险相关。共定位分析结果支持ERBB3与AR的关联(pp.H4=0.910)。中介分析显示,ERBB3与AR、AS的关联由嗜酸性粒细胞介导,中介效应比例分别为12.51%和17.64%。
    结论 本研究揭示了2型气道炎症性疾病独有和共有的分子靶点,其中ERBB3可能是AR、AS和NP共有的保护性因素及生物标志物。

     

    Abstract:
    Objective To systematically identify potential pathological molecular and therapeutic targets for type 2 airway inflammatory diseases using Mendelian randomization (MR) and co-localization analysis.
    Methods This study analyzed 4,302 druggable plasma proteins as exposure factors and performed transcriptional MR analysis using their cis-expression quantitative trait loci (cis-eQTL) as instrumental variables. Disease outcome datasets from the UK Biobank and Finnish Cohortwere used for discovery and replication validation, respectively. For proteins successfully validated, cis-protein quantitative trait loci (cis-pQTL) were further used for protein-level MR analysis. By combining co-localization analysis, reverse MR analysis, and mediation analysis, we investigated the association of these plasma proteins with allergic rhinitis (AR), asthma (AS), and nasal polyps (NP).
    Results cis-eQTL MR analysis of 2528 proteins identified 10 proteins associated with AR (TLR10, ERBB3, PNMT, etc.), 7 associated with AS (ERBB3, SLC40A1, PRKCQ, etc.), and 3 associated with NP (IL18RAP, AXL, ERBB3). cis-pQTL MR analysis showed that IL18RAP was associated with lower NP disease risk, while ERBB3 was associated with lower risks of AR, AS, and NP. Co-localization analysis supported the association between ERBB3 and AR (pp.H4 = 0.910). Mediation analysis revealed that the associations between ERBB3 and AR/AS were mediated by eosinophils, with mediation effects accounting for 12.51% and 17.64% of the observed associations, respectively.
    Conclusion This study identified unique and shared molecular targets for type 2 airway inflammatory diseases, with ERBB3 potentially serving as a shared protective factor and biomarker for AR, AS, and NP.

     

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