{"title":"基因证实脑脊液代谢物与出血性中风的最佳因果关系。","authors":"Yingjie Shen, Yaolou Wang, Yongze Shen, Xi Zhang, Zhao Yu, Hangjia Xu, Tie Lin, Yiwei Rong, Chunmei Guo, Aili Gao, Hongsheng Liang","doi":"10.1111/jnc.16293","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Hemorrhagic stroke (HS) mainly includes intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH), both of which seriously affect the patient's prognosis. Cerebrospinal fluid (CSF) metabolites and HS showed a link in observational studies. However, the causal association between them is not clear. We aimed to establish the optimal causality of CSF metabolites with HS. Mendelian randomization (MR) was employed to identify associations between CSF metabolites and different sources of HS. Univariable MR and false discovery rates (FDR) were used to identify initial causal associations. Linkage disequilibrium score regression determined genetic correlations. Multiple sensitive analyses ensured the reliability of the results. Multivariable MR and MR Bayesian Model Averaging were used to identify the optimal causal associations. The combined effects of metabolites and HS were assessed by meta-analyses. Pathway analyses were performed to identify potential pathways of action. Reverse MR was also conducted to identify reverse causal associations. Finally, Corresponding blood metabolites were used to explore the multiple roles of metabolites. We identified 20 CSF metabolites and six metabolic pathways associated with ICH; 15 CSF metabolites and three metabolic pathways associated with SAH. Nineteen and seven metabolites were causally associated with deep and lobar ICH, respectively. CSF levels of mannose (OR 0.63; 95% CI 0.45–0.88; <i>P</i><sub>combined</sub> = 0.0059) and <i>N</i>-acetyltaurine (OR 0.68; 95% CI 0.47–0.98; <i>P</i><sub>combined</sub> = 0.0395) may serve as the optimal exposures for ICH and SAH, respectively. Additionally, CSF ascorbic acid 3-sulfate levels significantly decrease the risk of deep ICH (OR 0.79; 95% CI 0.66–0.94; <i>p</i> = 0.0065; <i>P</i><sub>FDR</sub> = 0.091). Supplemental analysis of blood metabolites suggested multiple roles for CSF and blood <i>N</i>-formylanthranilic acid and hippurate. There are significant causal associations between CSF metabolites and HS, which provides a further rationale for the prevention and monitoring of ICH and SAH.\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>\n </div>","PeriodicalId":16527,"journal":{"name":"Journal of Neurochemistry","volume":"169 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetically Confirmed Optimal Causal Association of Cerebrospinal Fluid Metabolites With Hemorrhagic Stroke\",\"authors\":\"Yingjie Shen, Yaolou Wang, Yongze Shen, Xi Zhang, Zhao Yu, Hangjia Xu, Tie Lin, Yiwei Rong, Chunmei Guo, Aili Gao, Hongsheng Liang\",\"doi\":\"10.1111/jnc.16293\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Hemorrhagic stroke (HS) mainly includes intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH), both of which seriously affect the patient's prognosis. Cerebrospinal fluid (CSF) metabolites and HS showed a link in observational studies. However, the causal association between them is not clear. We aimed to establish the optimal causality of CSF metabolites with HS. Mendelian randomization (MR) was employed to identify associations between CSF metabolites and different sources of HS. Univariable MR and false discovery rates (FDR) were used to identify initial causal associations. Linkage disequilibrium score regression determined genetic correlations. Multiple sensitive analyses ensured the reliability of the results. Multivariable MR and MR Bayesian Model Averaging were used to identify the optimal causal associations. The combined effects of metabolites and HS were assessed by meta-analyses. Pathway analyses were performed to identify potential pathways of action. Reverse MR was also conducted to identify reverse causal associations. Finally, Corresponding blood metabolites were used to explore the multiple roles of metabolites. We identified 20 CSF metabolites and six metabolic pathways associated with ICH; 15 CSF metabolites and three metabolic pathways associated with SAH. Nineteen and seven metabolites were causally associated with deep and lobar ICH, respectively. CSF levels of mannose (OR 0.63; 95% CI 0.45–0.88; <i>P</i><sub>combined</sub> = 0.0059) and <i>N</i>-acetyltaurine (OR 0.68; 95% CI 0.47–0.98; <i>P</i><sub>combined</sub> = 0.0395) may serve as the optimal exposures for ICH and SAH, respectively. Additionally, CSF ascorbic acid 3-sulfate levels significantly decrease the risk of deep ICH (OR 0.79; 95% CI 0.66–0.94; <i>p</i> = 0.0065; <i>P</i><sub>FDR</sub> = 0.091). Supplemental analysis of blood metabolites suggested multiple roles for CSF and blood <i>N</i>-formylanthranilic acid and hippurate. There are significant causal associations between CSF metabolites and HS, which provides a further rationale for the prevention and monitoring of ICH and SAH.\\n <figure>\\n <div><picture>\\n <source></source></picture><p></p>\\n </div>\\n </figure></p>\\n </div>\",\"PeriodicalId\":16527,\"journal\":{\"name\":\"Journal of Neurochemistry\",\"volume\":\"169 1\",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Neurochemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jnc.16293\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neurochemistry","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jnc.16293","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
出血性卒中(HS)主要包括脑出血(ICH)和蛛网膜下腔出血(SAH),两者都严重影响患者的预后。脑脊液(CSF)代谢物和HS在观察性研究中显示出联系。然而,它们之间的因果关系尚不清楚。我们旨在建立脑脊液代谢物与HS的最佳因果关系。采用孟德尔随机化(MR)来确定脑脊液代谢物与HS不同来源之间的关系。单变量MR和错误发现率(FDR)用于确定初始因果关系。连锁不平衡得分回归确定遗传相关性。多重敏感分析保证了结果的可靠性。使用多变量MR和MR贝叶斯模型平均来确定最佳因果关联。通过荟萃分析评估代谢物和HS的联合作用。进行通路分析以确定潜在的作用通路。反向磁共振也进行了确定反向因果关系。最后利用相应的血液代谢物来探讨代谢物的多重作用。我们确定了20种脑脊液代谢物和6种与脑出血相关的代谢途径;15种脑脊液代谢物和3种与SAH相关的代谢途径。19种代谢物和7种代谢物分别与深部和大叶ICH有因果关系。甘露糖CSF水平(OR 0.63;95% ci 0.45-0.88;p - combined = 0.0059)和n -乙酰牛磺酸(OR 0.68;95% ci 0.47-0.98;Pcombined = 0.0395)可能分别作为脑出血和SAH的最佳暴露。此外,CSF抗坏血酸3-硫酸盐水平显著降低深部脑出血的风险(OR 0.79;95% ci 0.66-0.94;p = 0.0065;pfdr = 0.091)。血液代谢物的补充分析表明脑脊液和血液中n -甲氨基苯甲酸和hippurate有多种作用。脑脊液代谢物与HS之间存在显著的因果关系,这为预防和监测脑出血和SAH提供了进一步的理论依据。
Genetically Confirmed Optimal Causal Association of Cerebrospinal Fluid Metabolites With Hemorrhagic Stroke
Hemorrhagic stroke (HS) mainly includes intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH), both of which seriously affect the patient's prognosis. Cerebrospinal fluid (CSF) metabolites and HS showed a link in observational studies. However, the causal association between them is not clear. We aimed to establish the optimal causality of CSF metabolites with HS. Mendelian randomization (MR) was employed to identify associations between CSF metabolites and different sources of HS. Univariable MR and false discovery rates (FDR) were used to identify initial causal associations. Linkage disequilibrium score regression determined genetic correlations. Multiple sensitive analyses ensured the reliability of the results. Multivariable MR and MR Bayesian Model Averaging were used to identify the optimal causal associations. The combined effects of metabolites and HS were assessed by meta-analyses. Pathway analyses were performed to identify potential pathways of action. Reverse MR was also conducted to identify reverse causal associations. Finally, Corresponding blood metabolites were used to explore the multiple roles of metabolites. We identified 20 CSF metabolites and six metabolic pathways associated with ICH; 15 CSF metabolites and three metabolic pathways associated with SAH. Nineteen and seven metabolites were causally associated with deep and lobar ICH, respectively. CSF levels of mannose (OR 0.63; 95% CI 0.45–0.88; Pcombined = 0.0059) and N-acetyltaurine (OR 0.68; 95% CI 0.47–0.98; Pcombined = 0.0395) may serve as the optimal exposures for ICH and SAH, respectively. Additionally, CSF ascorbic acid 3-sulfate levels significantly decrease the risk of deep ICH (OR 0.79; 95% CI 0.66–0.94; p = 0.0065; PFDR = 0.091). Supplemental analysis of blood metabolites suggested multiple roles for CSF and blood N-formylanthranilic acid and hippurate. There are significant causal associations between CSF metabolites and HS, which provides a further rationale for the prevention and monitoring of ICH and SAH.
期刊介绍:
Journal of Neurochemistry focuses on molecular, cellular and biochemical aspects of the nervous system, the pathogenesis of neurological disorders and the development of disease specific biomarkers. It is devoted to the prompt publication of original findings of the highest scientific priority and value that provide novel mechanistic insights, represent a clear advance over previous studies and have the potential to generate exciting future research.