{"title":"血浆组织因子作为多发性硬化症有希望的标志物:来自两样本孟德尔随机化研究的证据。","authors":"Rui Pan, Aiqi Wang, Yaqi Li, Qizhi Xie, Meihua Lin, Jiayi Li, Xiaolei Shi","doi":"10.1515/tnsci-2025-0378","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Multiple sclerosis (MS) is a major demyelinating disorder that affects the central nervous system. A growing body of evidence has revealed the involvement of coagulation pathway in the pathogenesis of MS. However, the causal association between coagulation factors and MS is still unclear.</p><p><strong>Method: </strong>A two-sample Mendelian randomization (MR) analysis was conducted. Genetic variants for plasma coagulation factors were identified as instrumental variables. Summary-level statistics for MS were collected from a large-scale genome-wide association study, including 47,429 cases and 68,374 controls. Primary MR analysis was performed using the inverse-variance weighting (IVW) approach. False discovery rate (FDR)-adjusted method was applied to adjust for multiple testing. MR-Egger, weighted median, simple mode, weighted mode, and MR-pleiotropy residual sum and outlier (MR-PRESSO) methods were used as sensitivity analysis approaches.</p><p><strong>Results: </strong>A causal effect of higher plasma tissue factor (TF) levels on the risk of MS onset was identified using IVW method (OR: 1.215, 95% CI 1.108-1.333, <i>P</i> < 0.001, <i>P</i> <sub>FDR</sub> < 0.001). Complementary analysis using weighted median (OR: 1.262, 95% CI: 1.119-1.423, <i>P</i> < 0.001), weighted mode (OR: 1.238, 95% CI: 1.100-1.394, <i>P</i> = 0.012), and MR-PRESSO (OR: 1.215, 95% CI: 1.125-1.313, <i>P</i> = 0.003) methods yielded consistent results. Null associations were found for other plasma coagulation factors with MS.</p><p><strong>Conclusions: </strong>The study demonstrates a suggestive association between TF and MS. Increasing plasma TF was associated with an increase in MS risk. TF should be a promising biomarker and new target for MS.</p>","PeriodicalId":23227,"journal":{"name":"Translational Neuroscience","volume":"16 1","pages":"20250378"},"PeriodicalIF":2.2000,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12413626/pdf/","citationCount":"0","resultStr":"{\"title\":\"Plasma tissue factor as a promising marker in multiple sclerosis: Evidence from a two-sample Mendelian randomization study.\",\"authors\":\"Rui Pan, Aiqi Wang, Yaqi Li, Qizhi Xie, Meihua Lin, Jiayi Li, Xiaolei Shi\",\"doi\":\"10.1515/tnsci-2025-0378\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Multiple sclerosis (MS) is a major demyelinating disorder that affects the central nervous system. A growing body of evidence has revealed the involvement of coagulation pathway in the pathogenesis of MS. However, the causal association between coagulation factors and MS is still unclear.</p><p><strong>Method: </strong>A two-sample Mendelian randomization (MR) analysis was conducted. Genetic variants for plasma coagulation factors were identified as instrumental variables. Summary-level statistics for MS were collected from a large-scale genome-wide association study, including 47,429 cases and 68,374 controls. Primary MR analysis was performed using the inverse-variance weighting (IVW) approach. False discovery rate (FDR)-adjusted method was applied to adjust for multiple testing. MR-Egger, weighted median, simple mode, weighted mode, and MR-pleiotropy residual sum and outlier (MR-PRESSO) methods were used as sensitivity analysis approaches.</p><p><strong>Results: </strong>A causal effect of higher plasma tissue factor (TF) levels on the risk of MS onset was identified using IVW method (OR: 1.215, 95% CI 1.108-1.333, <i>P</i> < 0.001, <i>P</i> <sub>FDR</sub> < 0.001). Complementary analysis using weighted median (OR: 1.262, 95% CI: 1.119-1.423, <i>P</i> < 0.001), weighted mode (OR: 1.238, 95% CI: 1.100-1.394, <i>P</i> = 0.012), and MR-PRESSO (OR: 1.215, 95% CI: 1.125-1.313, <i>P</i> = 0.003) methods yielded consistent results. Null associations were found for other plasma coagulation factors with MS.</p><p><strong>Conclusions: </strong>The study demonstrates a suggestive association between TF and MS. Increasing plasma TF was associated with an increase in MS risk. TF should be a promising biomarker and new target for MS.</p>\",\"PeriodicalId\":23227,\"journal\":{\"name\":\"Translational Neuroscience\",\"volume\":\"16 1\",\"pages\":\"20250378\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12413626/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translational Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1515/tnsci-2025-0378\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1515/tnsci-2025-0378","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
背景:多发性硬化症(MS)是一种影响中枢神经系统的主要脱髓鞘疾病。越来越多的证据表明,凝血途径参与MS的发病机制,但凝血因子与MS之间的因果关系尚不清楚。方法:采用双样本孟德尔随机化(MR)分析。血浆凝血因子的遗传变异被确定为工具变量。MS的汇总统计数据来自一项大规模全基因组关联研究,包括47,429例病例和68,374例对照。主要MR分析采用逆方差加权(IVW)方法进行。采用错误发现率(FDR)校正方法对多重检验进行校正。采用MR-Egger、加权中位数、简单模式、加权模式和mr -多效性残差和离群值(MR-PRESSO)方法作为敏感性分析方法。结果:采用IVW方法确定了较高的血浆组织因子(TF)水平与MS发病风险的因果关系(OR: 1.215, 95% CI 1.108-1.333, P < 0.001, P FDR < 0.001)。采用加权中位数(OR: 1.262, 95% CI: 1.119-1.423, P < 0.001)、加权模式(OR: 1.238, 95% CI: 1.100-1.394, P = 0.012)和MR-PRESSO (OR: 1.215, 95% CI: 1.125-1.313, P = 0.003)方法进行的补充分析得出了一致的结果。其他血浆凝血因子与MS无关联。结论:该研究表明TF和MS之间存在提示性的关联。血浆TF升高与MS风险增加相关。TF有望成为一种有前景的生物标志物和MS的新靶点。
Plasma tissue factor as a promising marker in multiple sclerosis: Evidence from a two-sample Mendelian randomization study.
Background: Multiple sclerosis (MS) is a major demyelinating disorder that affects the central nervous system. A growing body of evidence has revealed the involvement of coagulation pathway in the pathogenesis of MS. However, the causal association between coagulation factors and MS is still unclear.
Method: A two-sample Mendelian randomization (MR) analysis was conducted. Genetic variants for plasma coagulation factors were identified as instrumental variables. Summary-level statistics for MS were collected from a large-scale genome-wide association study, including 47,429 cases and 68,374 controls. Primary MR analysis was performed using the inverse-variance weighting (IVW) approach. False discovery rate (FDR)-adjusted method was applied to adjust for multiple testing. MR-Egger, weighted median, simple mode, weighted mode, and MR-pleiotropy residual sum and outlier (MR-PRESSO) methods were used as sensitivity analysis approaches.
Results: A causal effect of higher plasma tissue factor (TF) levels on the risk of MS onset was identified using IVW method (OR: 1.215, 95% CI 1.108-1.333, P < 0.001, PFDR < 0.001). Complementary analysis using weighted median (OR: 1.262, 95% CI: 1.119-1.423, P < 0.001), weighted mode (OR: 1.238, 95% CI: 1.100-1.394, P = 0.012), and MR-PRESSO (OR: 1.215, 95% CI: 1.125-1.313, P = 0.003) methods yielded consistent results. Null associations were found for other plasma coagulation factors with MS.
Conclusions: The study demonstrates a suggestive association between TF and MS. Increasing plasma TF was associated with an increase in MS risk. TF should be a promising biomarker and new target for MS.
期刊介绍:
Translational Neuroscience provides a closer interaction between basic and clinical neuroscientists to expand understanding of brain structure, function and disease, and translate this knowledge into clinical applications and novel therapies of nervous system disorders.