Background: The rupture of intracranial aneurysms (IAs) leads to aneurysmal subarachnoid hemorrhage (aSAH), which is associated with significant disability and mortality rates. This study aims to identify metabolic markers causally linked to the occurrence of IAs and aSAH through Mendelian randomization (MR), thereby offering novel predictive and therapeutic targets.
Methods: We conducted a genome-wide association study (GWAS) on IAs and aSAH, analyzing 1,400 metabolomic indices from the Canadian Longitudinal Study on Aging (CLSA) cohort (n = 8,299). Subsequently, we employed two-sample Mendelian randomization to ascertain potential causal relationships between each metabolite and the conditions IAs and aSAH by various MR methodologies, including MR Egger, Weighted median, Inverse variance weighted (IVW), MR-PRESSO, Simple mode, and Weighted mode. The heterogeneity of instrumental variables was assessed using Cochran's Q statistics, and metabolic pathway analyses were performed via the Metaconflict 5.0 platform.
Results: Our analysis found that 87 metabolites/metabolic ratios were associated with IAs, and 85 metabolites/metabolic ratios were associated with aSAH. After false discovery rate (FDR) correction and sensitivity analyses, nine metabolites/metabolic ratios were significantly causally associated with aSAH. Conversely, while 87 metabolites and their ratios initially showed potential causal links with IA, none demonstrated significant causal associations post-FDR correction. The study also pinpointed eight significant metabolic pathways implicated in both IAs and aSAH.
Conclusion: This study found that nine circulating metabolites and their ratios with significant causal associations to aSAH, while no metabolites and their ratios were causally linked to IAs. These results suggest possible mechanisms and predictive molecular targets for IAs and aSAH.
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http://dx.doi.org/10.1016/j.neuroscience.2025.01.017 | DOI Listing |
Background: The rupture of intracranial aneurysms (IAs) leads to aneurysmal subarachnoid hemorrhage (aSAH), which is associated with significant disability and mortality rates. This study aims to identify metabolic markers causally linked to the occurrence of IAs and aSAH through Mendelian randomization (MR), thereby offering novel predictive and therapeutic targets.
Methods: We conducted a genome-wide association study (GWAS) on IAs and aSAH, analyzing 1,400 metabolomic indices from the Canadian Longitudinal Study on Aging (CLSA) cohort (n = 8,299).
Int J Neurosci
December 2024
Department of Neurology, Liaocheng People's Hospital, Liaocheng, China.
Background: Our objective is to investigate the potential causal relationship between telomere length (TL) and aneurysmal subarachnoid hemorrhage (aSAH) and intracranial aneurysms (IAs) by conducting a bidirectional two-sample Mendelian Randomization (MR) study.
Methods: We utilized publicly available summary data from genome-wide association studies (GWAS) for comprehensive analysis. Telomere length-associated data were sourced from the Epidemiology Unit (IEU) GWAS database ( = 472,174), while data pertaining to intracranial aneurysms were derived from a GWAS meta-analysis conducted by Bakker et al.
J Neurochem
October 2024
Interventional Department, Henan Province Hospital of TCM, Zhengzhou, Henan, People's Republic of China.
Nutr Neurosci
October 2024
Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Background: Intracranial aneurysms (IAs) pose a significant threat to morbidity and mortality, yet their etiology remains inadequately comprehended. The present study employs Mendelian randomization (MR) to investigate the relationship among dietary elements with IAs, encompassing unruptured intracranial aneurysms (uIA) as well as aneurysmal subarachnoid hemorrhage (aSAH).
Methods: The current study employed a double-sample MR test utilizing genome-wide association study (GWAS) summary data from the IEU and IAs' meta-analysis to investigate the genetically predicted consumption levels of various dietary factors using GWAS data.
Neuroscience
November 2024
Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17 Yongwaizheng Street, Nanchang 330006, Jiangxi, China. Electronic address:
Objective: The aim of this study was to assess the potential causal relationship between neuroticism and 12 neuroticism items with intracranial aneurysms (IAs) and aneurysmal subarachnoid hemorrhage (aSAH) using a two-sample Mendelian randomization (MR) approach.
Methods: Study data were obtained from the Genome-Wide Association Study (GWAS) pooled dataset, and we extracted summary statistics for neuroticism, 12 neuroticism items, and IAs, which were categorized into ruptured and unruptured aneurysms (IA), aSAH, and unruptured IAs (uIA). Single nucleotide polymorphisms (SNPs) were used as instrumental variables (IVs) to explore the causal relationship between exposure and outcome using five Mendelian randomization methods, with Inverse variance weighted (IVW) as the primary study method.
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