The application of metabonomic science to interrogate stroke permits the study of metabolite entities, small enough to cross the blood-brain barrier, that provide insight into neuronal dysfunction, and may serve as reservoirs of biomarker discovery. This systematic review examines the applicability of metabolic profiling in ischemic stroke research. Six human studies utilizing metabolic profiling to analyze biofluids from ischemic stroke patients have been included, employing 1H-NMR and/or mass spectrometry to analyze plasma, serum, and/or urine in a targeted or untargeted fashion. Three are diagnostic studies, and one investigates prognostic biomarkers of stroke recurrence following transient ischemic attack. Two studies focus on metabolic distinguishers of depression or cognitive impairment following stroke. Identified biomarkers from blood and urine predominantly relate to homocysteine and folate, branched chain amino acid, and lipid metabolism. Statistical models are well fitted and reproducible, with excellent validation outcomes, demonstrating the feasibility of metabolic profiling to study a complex disorder with multicausal pathology, such as stroke.

中文翻译：

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代谢组学在中风神经生物学方面的经验。

代谢组学科学在中风研究中的应用允许对代谢物进行研究，该代谢物小到可以穿过血脑屏障，从而提供对神经元功能障碍的洞察力，并可以作为生物标志物发现的库。这篇系统的综述研究了代谢谱在缺血性中风研究中的适用性。已经进行了六项人体研究，这些研究利用代谢谱分析来分析缺血性中风患者的生物流体，采用1 H-NMR和/或质谱分析以靶向或非靶向方式分析血浆，血清和/或尿液。三项是诊断性研究，一项是研究短暂性脑缺血发作后中风复发的预后生物标志物。有两项研究集中于中风后抑郁或认知障碍的新陈代谢特征。从血液和尿液中鉴定出的生物标志物主要与同型半胱氨酸和叶酸，支链氨基酸和脂质代谢有关。统计模型具有很好的拟合性和可重现性，具有出色的验证结果，证明了进行代谢谱分析以研究具有多种多因病理学特征的复杂疾病（如中风）的可行性。