Literature DB >> 34213842

Metabolomics and metabolites in ischemic stroke.

Maria S Chumachenko1, Tatsiana V Waseem2, Sergei V Fedorovich1.   

Abstract

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.
© 2021 Walter de Gruyter GmbH, Berlin/Boston.

Entities:  

Keywords:  amino acids; biomarkers; fatty acids; metabolism; metabolomic profiling

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Year:  2021        PMID: 34213842     DOI: 10.1515/revneuro-2021-0048

Source DB:  PubMed          Journal:  Rev Neurosci        ISSN: 0334-1763            Impact factor:   4.353


  1 in total

Review 1.  Metabolomics of ischemic stroke: insights into risk prediction and mechanisms.

Authors:  Ruijie Zhang; Jiajia Meng; Xiaojie Wang; Liyuan Pu; Tian Zhao; Yi Huang; Liyuan Han
Journal:  Metab Brain Dis       Date:  2022-05-25       Impact factor: 3.655

  1 in total

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