Table_1_Metabolomics as a potential tool for monitoring patients with aneurysmal subarachnoid hemorrhage.DOCX

Metabolomics has evolved into a particularly useful tool to study interactions between metabolites and serves as an aid in unraveling the complexity of entire metabolomes. Nonetheless, it is increasingly viewed as a methodology with practical applications in the clinical setting, where identifying and quantifying biomarkers of interest could prove useful for diagnostics. Starting from a concise overview of the most prominent analytical techniques employed in metabolomics, herein we present a review of its application in studies of brain metabolism and cerebrovascular diseases, paying most attention to its uses in researching aneurysmal subarachnoid hemorrhage. Both animal models and human studies are considered, and metabolites identified as potential biomarkers are highlighted.

代谢组学（Metabolomics）已发展为研究代谢物间相互作用的极具价值的工具，亦有助于阐明完整代谢组的复杂特性。尽管如此，该技术正日益被视为具备临床实用价值的研究手段：对目标生物标志物进行定性与定量分析，可为疾病诊断提供切实的辅助支撑。本文首先简要概述代谢组学领域最具代表性的分析技术，随后系统综述了该技术在脑代谢与脑血管疾病研究中的应用，并重点聚焦其在动脉瘤性蛛网膜下腔出血（aneurysmal subarachnoid hemorrhage）研究中的应用。本文同时纳入动物模型与人体临床研究，并重点标注了被鉴定为潜在生物标志物的代谢物。