Lasica Nebojsa, Raicevic Vidak, Stojanovic Nikola M, Djilvesi Djula, Horvat Igor, Jelaca Bojan, Pajicic Filip, Vulekovic Petar
Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Clinic of Neurosurgery, University Clinical Center of Vojvodina, Novi Sad, Serbia.
Front Neurol. 2023 Jan 9;13:1101524. doi: 10.3389/fneur.2022.1101524. eCollection 2022.
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.
代谢组学已发展成为研究代谢物之间相互作用的一种特别有用的工具，并有助于揭示整个代谢组的复杂性。尽管如此，它越来越被视为一种在临床环境中有实际应用的方法，在临床中识别和量化感兴趣的生物标志物可能对诊断有用。从对代谢组学中最突出的分析技术的简要概述开始，在此我们对其在脑代谢和脑血管疾病研究中的应用进行综述，重点关注其在研究动脉瘤性蛛网膜下腔出血中的应用。我们考虑了动物模型和人体研究，并突出了被鉴定为潜在生物标志物的代谢物。
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