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Metabolomics and metabolites in ischemic stroke
Maria S Chumachenko1, Tatsiana V Waseem2, Sergei V Fedorovich1
1Department of Biochemistry, Faculty of Biology, Belarusian State University, Kurchatova St., 10, Minsk 220030, Belarus.
Reviews in the Neurosciences
|July 2, 2021
Summary
Metabolomics offers a promising approach to identify stroke biomarkers. This technique analyzes metabolite profiles to aid in diagnosing stroke types and predicting complications like recurrent stroke.
Area of Science:
- Biochemistry
- Neurology
- Medical Diagnostics
Background:
- Stroke is a leading cause of death and disability globally.
- Accurate stroke type identification and prediction of complications (recurrent stroke, vascular dementia, depression) are crucial.
- Biomarkers are essential for diagnosis and prognosis, with metabolomics showing significant potential.
Purpose of the Study:
- To explore the utility of metabolomics for identifying stroke biomarkers.
- To understand the role of metabolite variations in brain ischemia and stroke pathology.
- To highlight the potential of metabolomics in developing rapid diagnostic tools for stroke.
Main Methods:
- Utilizing metabolomics, a technique based on mass spectrometry and nuclear magnetic resonance.
- Analyzing low molecular weight metabolite profiles.
- Reviewing literature data on identified stroke markers and metabolic mechanisms.
Main Results:
- Metabolomics provides comprehensive metabolite profiles, unlike single-molecule analysis.
- Variations in metabolite concentrations during brain ischemia can affect neuronal function.
- Experimental models (ischemia/reperfusion) indicate impaired energy and amino acid metabolism in the brain.
Conclusions:
- Metabolomics is a powerful tool for discovering stroke biomarkers.
- Understanding metabolic mechanisms aids in differentiating stroke types (ischemic and hemorrhagic).
- Metabolomics technologies can facilitate the development of fast and reliable stroke diagnostic tools.
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