Evidence map›Paper›PMID 41882451›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Metabolome Wide Mendelian Randomization Assessing the Causal Relationship Between Serum Metabolites, Cerebrospinal Metabolites, and Aneurysmal Subarachnoid Hemorrhage.

Bingyi Song, Youjia Qiu, Minjia Xie, Yuchen Tao, Ziqian Yin, Menghan Wang, Na Ji, Xinlin Tang, Zhouqing Chen, Zhong Wang

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Bingyi Song *Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China.
Youjia Qiu *Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China.
Minjia XieDepartment of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China.
Yuchen TaoDepartment of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China.
Ziqian YinDepartment of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China.
Menghan WangDepartment of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China.
Na JiSuzhou Medical College of Soochow University, Suzhou, 215002, Jiangsu Province, China.
Xinlin TangDepartment of Urology Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China.
Zhouqing ChenDepartment of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China. zqchen6@163.com.
Zhong WangDepartment of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China. wangzhong761@163.com.ORCID http://orcid.org/0000-0002-7342-0845

Funding

National Natural Science Foundation of China Grant No. 82171309
6 · The paper itself

Abstract

backgroundRecent studies have suggested that serum metabolites and cerebrospinal fluid (CSF) metabolites play a role in aneurysmal subarachnoid hemorrhage (aSAH).

methodsA Mendelian randomization (MR) study was conducted to elucidate the potential causal effect of serum metabolites and CSF metabolites on aSAH. Genetic information related to exposure and outcome was obtained from the GWAS summary data. To evaluate the potential causal relationship between them, we adopted IVW as the preferred method, supplemented by weighted median and MR Egger. In addition, we performed sensitivity analyses evaluate the stability of the MR results. Metabolic pathways analysis and colocalization analysis were applied to complement the significant results.

resultsOur findings defined 21 suggestive causal relationships between serum, CSF metabolites and aSAH. ADSGEGDFXAEGGGVR (OR 0.64, 95%CI 0.43–0.97, p = 0.03), alpha-hydroxyisovalerate (OR 0.40, 95%CI 0.20–0.80, p = 0.01) and Methionine sulfoxide (OR 0.77, 95%CI 0.62–0.95, p = 0.02) are independent related factors. Metabolic pathway analysis showed that 4 metabolites and their associated metabolic pathways have significant effects on aSAH. Through co-localization analysis, it was found that SLC22A5 are shared risk sites between metabolites and aSAH.

conclusionOur study identified a total of 21 metabolites that are causally related to aSAH, including 3 separate elements. This may offer fresh insights into aSAH biomarkers and therapeutic targets through specific metabolites.

Indexed as

MetabolomeSubarachnoid HemorrhageGenome-Wide Association StudyHumansMendelian Randomization AnalysisAneurysmal subarachnoid hemorrhageCerebrospinal fluid metabolitesMendelian randomizationNeurologyRisk factorsSerum metabolites

Identifiers

PMID41882451

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