代谢组学
神经学
医学
冲程(发动机)
脑缺血
痴呆
生物信息学
代谢组
缺血
代谢物
缺血性中风
内科学
疾病
生物
精神科
工程类
机械工程
作者
Maria S. Chumachenko,Tatyana V. Waseem,Sergei V. Fedorovich
出处
期刊:Reviews in The Neurosciences
[De Gruyter]
日期:2021-07-01
卷期号:33 (2): 181-205
被引量:18
标识
DOI:10.1515/revneuro-2021-0048
摘要
Stroke is a major reason for disability and the second highest cause of death in the world. When a patient is admitted to a hospital, it is necessary to identify the type of stroke, and the likelihood for development of a recurrent stroke, vascular dementia, and depression. These factors could be determined using different biomarkers. Metabolomics is a very promising strategy for identification of biomarkers. The advantage of metabolomics, in contrast to other analytical techniques, resides in providing low molecular weight metabolite profiles, rather than individual molecule profiles. Technically, this approach is based on mass spectrometry and nuclear magnetic resonance. Furthermore, variations in metabolite concentrations during brain ischemia could alter the principal neuronal functions. Different markers associated with ischemic stroke in the brain have been identified including those contributing to risk, acute onset, and severity of this pathology. In the brain, experimental studies using the ischemia/reperfusion model (IRI) have shown an impaired energy and amino acid metabolism and confirmed their principal roles. Literature data provide a good basis for identifying markers of ischemic stroke and hemorrhagic stroke and understanding metabolic mechanisms of these diseases. This opens an avenue for the successful use of identified markers along with metabolomics technologies to develop fast and reliable diagnostic tools for ischemic and hemorrhagic stroke.
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