{"title":"凝血因子对阿尔茨海默病风险的影响:一项孟德尔随机研究","authors":"Wenzhi Shi, Juanjuan Lu, Peiyao Wei, Pingping Ning, Jiaxin Fan, Shan Huang, Xingzhi Guo, Rui Li","doi":"10.1177/25424823251327674","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Observational studies indicate a complex relationship between coagulation factors and Alzheimer's disease (AD). However, the current findings are inconsistent, and it remains uncertain whether a causal relationship exists.</p><p><strong>Objective: </strong>This study utilizes a Mendelian randomization analysis to investigate the causal relationships between blood levels of coagulation factors and AD risk.</p><p><strong>Methods: </strong>Eleven coagulation factors with valid instrumental variables available were evaluated. Two independent cohorts of European ancestry with AD genome-wide association study (GWAS) summary statistics were used: UK Biobank (UKB, N = 472,868) and the International Genomics of Alzheimer's Project (IGAP, N = 63,926). We primarily conducted Mendelian randomization (MR) analyses using the Inverse variance weighted (IVW). Meanwhile, the MR-Egger intercept test is used to detect horizontal pleiotropy, the Residual Sum of Squares observed (RSSobs) is used to assess the model's goodness of fit, and the leave-one-out analysis is employed for sensitivity analysis.</p><p><strong>Results: </strong>Using IVW analysis, the UKB database shows positive correlations of Protein C (PC, p = 0.002), Activated Partial Thromboplastin Time (aPTT, p = 0.019), and coagulation factor X (FX, p = 0.032) with AD, and a negative association for coagulation factor XI (FXI, p = 0.021). The IGAP database mirrors these findings for PC and FXI but not for the others. Leave-one-out analysis showed an anomaly after a single single nucleotide polymorphism (SNP) driving, yet the overall results remained stable.</p><p><strong>Conclusions: </strong>This study demonstrates that elevated levels of PC, FX, and aPTT, along with reduced levels of FXI, are causally associated with an increased risk of AD. These findings might pave the way for the diagnosis and treatment of AD.</p>","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"9 ","pages":"25424823251327674"},"PeriodicalIF":2.8000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11930485/pdf/","citationCount":"0","resultStr":"{\"title\":\"The effects of coagulation factors on the risk of Alzheimer's disease: A Mendelian randomization study.\",\"authors\":\"Wenzhi Shi, Juanjuan Lu, Peiyao Wei, Pingping Ning, Jiaxin Fan, Shan Huang, Xingzhi Guo, Rui Li\",\"doi\":\"10.1177/25424823251327674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Observational studies indicate a complex relationship between coagulation factors and Alzheimer's disease (AD). However, the current findings are inconsistent, and it remains uncertain whether a causal relationship exists.</p><p><strong>Objective: </strong>This study utilizes a Mendelian randomization analysis to investigate the causal relationships between blood levels of coagulation factors and AD risk.</p><p><strong>Methods: </strong>Eleven coagulation factors with valid instrumental variables available were evaluated. Two independent cohorts of European ancestry with AD genome-wide association study (GWAS) summary statistics were used: UK Biobank (UKB, N = 472,868) and the International Genomics of Alzheimer's Project (IGAP, N = 63,926). We primarily conducted Mendelian randomization (MR) analyses using the Inverse variance weighted (IVW). Meanwhile, the MR-Egger intercept test is used to detect horizontal pleiotropy, the Residual Sum of Squares observed (RSSobs) is used to assess the model's goodness of fit, and the leave-one-out analysis is employed for sensitivity analysis.</p><p><strong>Results: </strong>Using IVW analysis, the UKB database shows positive correlations of Protein C (PC, p = 0.002), Activated Partial Thromboplastin Time (aPTT, p = 0.019), and coagulation factor X (FX, p = 0.032) with AD, and a negative association for coagulation factor XI (FXI, p = 0.021). The IGAP database mirrors these findings for PC and FXI but not for the others. Leave-one-out analysis showed an anomaly after a single single nucleotide polymorphism (SNP) driving, yet the overall results remained stable.</p><p><strong>Conclusions: </strong>This study demonstrates that elevated levels of PC, FX, and aPTT, along with reduced levels of FXI, are causally associated with an increased risk of AD. 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引用次数: 0
摘要
背景:观察性研究表明凝血因子与阿尔茨海默病(AD)之间存在复杂的关系。然而,目前的研究结果并不一致,是否存在因果关系仍不确定。目的:本研究采用孟德尔随机分析探讨血液凝血因子水平与AD风险之间的因果关系。方法:对具有有效工具变量的11种凝血因子进行评价。使用两个独立的欧洲血统的AD全基因组关联研究(GWAS)汇总统计:UK Biobank (UKB, N = 472,868)和国际阿尔茨海默病基因组学项目(IGAP, N = 63,926)。我们主要使用逆方差加权(IVW)进行孟德尔随机化(MR)分析。同时,采用MR-Egger截距检验检测水平多效性,采用残差观测平方和(RSSobs)评估模型的拟合优度,采用留一分析进行敏感性分析。结果:通过IVW分析,UKB数据库显示蛋白C (PC, p = 0.002)、活化部分凝血活素时间(aPTT, p = 0.019)和凝血因子X (FX, p = 0.032)与AD呈正相关,凝血因子XI (FXI, p = 0.021)呈负相关。IGAP数据库反映了PC和FXI的这些发现,但其他方面没有。留一分析显示,在单个单核苷酸多态性(SNP)驱动后出现异常,但总体结果保持稳定。结论:本研究表明,PC、FX和aPTT水平升高以及FXI水平降低与AD风险增加有因果关系。这些发现可能为阿尔茨海默病的诊断和治疗铺平道路。
The effects of coagulation factors on the risk of Alzheimer's disease: A Mendelian randomization study.
Background: Observational studies indicate a complex relationship between coagulation factors and Alzheimer's disease (AD). However, the current findings are inconsistent, and it remains uncertain whether a causal relationship exists.
Objective: This study utilizes a Mendelian randomization analysis to investigate the causal relationships between blood levels of coagulation factors and AD risk.
Methods: Eleven coagulation factors with valid instrumental variables available were evaluated. Two independent cohorts of European ancestry with AD genome-wide association study (GWAS) summary statistics were used: UK Biobank (UKB, N = 472,868) and the International Genomics of Alzheimer's Project (IGAP, N = 63,926). We primarily conducted Mendelian randomization (MR) analyses using the Inverse variance weighted (IVW). Meanwhile, the MR-Egger intercept test is used to detect horizontal pleiotropy, the Residual Sum of Squares observed (RSSobs) is used to assess the model's goodness of fit, and the leave-one-out analysis is employed for sensitivity analysis.
Results: Using IVW analysis, the UKB database shows positive correlations of Protein C (PC, p = 0.002), Activated Partial Thromboplastin Time (aPTT, p = 0.019), and coagulation factor X (FX, p = 0.032) with AD, and a negative association for coagulation factor XI (FXI, p = 0.021). The IGAP database mirrors these findings for PC and FXI but not for the others. Leave-one-out analysis showed an anomaly after a single single nucleotide polymorphism (SNP) driving, yet the overall results remained stable.
Conclusions: This study demonstrates that elevated levels of PC, FX, and aPTT, along with reduced levels of FXI, are causally associated with an increased risk of AD. These findings might pave the way for the diagnosis and treatment of AD.