Jiang Zongzhi, Sun Yining, Liu Songyan
Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China.
Department of Neurology, The First Hospital of Jilin University, Changchun, China.
Front Neurol. 2024 May 9;15:1386844. doi: 10.3389/fneur.2024.1386844. eCollection 2024.
Dysregulation of circulating metabolites may affect brain function and cognition, associated with alterations in the cerebral cortex architecture. However, the exact cause remains unclear. This study aimed to determine the causal effect of circulating metabolites on the cerebral cortex architecture.
This study utilized retrieved data from genome-wide association studies to investigate the relationship between blood metabolites and cortical architecture. A total of 1,091 metabolites and 309 metabolite ratios were used for exposure. The brain cortex surface area and cortex thickness were selected as the primary outcomes in this study. In this study, the inverse variance weighting method was used as the main analytical method, complemented by sensitivity analyses that were more robust to pleiotropy. Furthermore, metabolic pathway analysis was performed via MetaboAnalyst 6.0. Finally, reverse Mendelian randomization (MR) analysis was conducted to assess the potential for reverse causation.
After correcting for the false discovery rate (FDR), we identified 37 metabolites and 9 metabolite ratios that showed significant causal associations with cortical structures. Among these, Oxalate was found to be most strongly associated with cortical surface area (: 2387.532, 95% CI 756.570-4018.495, = 0.037), while Tyrosine was most correlated with cortical thickness (: -0.015, 95% CI -0.005 to -0.025, = 0.025). Furthermore, pathway analysis based on metabolites identified six significant metabolic pathways associated with cortical structures and 13 significant metabolic pathways based on metabolite ratios.
The identified metabolites and relevant metabolic pathways reveal potential therapeutic pathways for reducing the risk of neurodegenerative diseases. These findings will help guide health policies and clinical practice in treating neurodegenerative diseases.
循环代谢物的失调可能会影响脑功能和认知,这与大脑皮层结构的改变有关。然而,确切原因仍不清楚。本研究旨在确定循环代谢物对大脑皮层结构的因果效应。
本研究利用从全基因组关联研究中检索到的数据,来研究血液代谢物与皮层结构之间的关系。总共1091种代谢物和309种代谢物比率被用作暴露因素。本研究选择脑皮层表面积和皮层厚度作为主要结局指标。在本研究中,采用逆方差加权法作为主要分析方法,并辅以对多效性更具稳健性的敏感性分析。此外,通过MetaboAnalyst 6.0进行代谢途径分析。最后,进行反向孟德尔随机化(MR)分析以评估反向因果关系的可能性。
在校正错误发现率(FDR)后,我们确定了37种代谢物和9种代谢物比率与皮层结构存在显著的因果关联。其中,发现草酸盐与皮层表面积的关联最为强烈(β:2387.532,95%CI 756.570 - 4018.495,P = 0.037),而酪氨酸与皮层厚度的相关性最强(β: - 0.015,95%CI - 0.005至 - 0.025,P = 0.025)。此外,基于代谢物的途径分析确定了与皮层结构相关的6条显著代谢途径,基于代谢物比率的有13条显著代谢途径。
所确定的代谢物和相关代谢途径揭示了降低神经退行性疾病风险的潜在治疗途径。这些发现将有助于指导神经退行性疾病治疗中的卫生政策和临床实践。