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孟德尔随机化分析揭示了肠道微生物群、血清代谢物与动脉瘤风险之间的因果关系。

Mendelian randomization analysis reveals causal links between gut microbiota, serum metabolites, and aneurysm risk.

作者信息

Xue Chun, Feng Li, Xi Shuaishuai, Li Kaiyuan, Pei Yuanmin

机构信息

Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital), Shanghai, China.

School of Clinical Medicine, Shandong Second Medical University, Weifang, China.

出版信息

Medicine (Baltimore). 2025 Jul 4;104(27):e43062. doi: 10.1097/MD.0000000000043062.

Abstract

The causal relationships between gut microbiota, serum metabolites, and aneurysms remain unclear. This study employed Mendelian randomization to investigate potential causal links between gut microbiota, serum metabolites, and the risk of various types of aneurysms. Data on gut microbiota, serum metabolites, and aneurysms were obtained from genome-wide association studies. Gut microbiota and serum metabolites were analyzed as exposure factors, while cerebral aneurysms, aortic aneurysms, and thoracic aortic aneurysms were evaluated as outcome variables. Inverse-variance weighted (IVW) analysis served as the primary analytical method, complemented by sensitivity analyses to assess pleiotropy and enhance robustness. IVW analysis identified 8, 5, and 9 gut microbiota taxa as causally associated with cerebral aneurysm, thoracic aortic aneurysm, and aortic aneurysm, respectively (IVW, all P < .05). Notably, Bifidobacterium exhibited a potentially protective effect against cerebral and aortic aneurysms. Additionally, 3 serum metabolites were found to have a potential causal relationship with aortic aneurysms after false discovery rate correction. Sensitivity analyses confirmed the robustness of the IVW findings. This study suggests that gut microbiota and serum metabolites may influence aneurysm risk, offering novel insights for the clinical diagnosis and treatment of aneurysms.

摘要

肠道微生物群、血清代谢物与动脉瘤之间的因果关系仍不清楚。本研究采用孟德尔随机化方法,以调查肠道微生物群、血清代谢物与各类动脉瘤风险之间的潜在因果联系。肠道微生物群、血清代谢物和动脉瘤的数据来自全基因组关联研究。肠道微生物群和血清代谢物被作为暴露因素进行分析,而脑动脉瘤、主动脉瘤和胸主动脉瘤则作为结局变量进行评估。逆方差加权(IVW)分析作为主要分析方法,并辅以敏感性分析以评估多效性并增强稳健性。IVW分析分别确定了8种、5种和9种肠道微生物分类群与脑动脉瘤、胸主动脉瘤和主动脉瘤存在因果关联(IVW,所有P<0.05)。值得注意的是,双歧杆菌对脑动脉瘤和主动脉瘤表现出潜在的保护作用。此外,经错误发现率校正后,发现3种血清代谢物与主动脉瘤存在潜在因果关系。敏感性分析证实了IVW结果的稳健性。本研究表明,肠道微生物群和血清代谢物可能影响动脉瘤风险,为动脉瘤的临床诊断和治疗提供了新的见解。

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