Метаболомика: новая граница в обнаружении биомаркеров нейродегенеративных заболеваний.
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Verma Krishan Kumar, Gaur Praveen Kumar, Gupta Sonia Lal, Lata Kanak, Kaushik Rahul, Sharma Vikas
Аннотация
Оригинал публикации
Metabolomics: a new frontier in neurodegenerative disease biomarker discovery.
BACKGROUND: Neurodegenerative disorders are a group of debilitating diseases affecting the central nervous system, and are characterized by the progressive loss of neurons, leading to declines in cognitive function, movement, and overall quality of life. While the exact causes remain elusive, it's believed that a combination of genetic, environmental, and lifestyle factors contribute to their development. Metabolites, the end products of cellular processes, reflect the physiological state of an organism. By analysing these molecules, researchers can gain a deeper understanding of the underlying metabolic changes associated with neurodegenerative disorders.
AIM OF REVIEW: This review aims to explore the possibilities between metabolites and their association with neurodegenerative disorders such as amyotrophic lateral sclerosis (ALS), Alzheimer's disease (AD), Parkinson's disease (PD), Multiple sclerosis (MS) and Huntington's disease (HD).
KEY SCIENTIFIC CONCEPTS OF REVIEW: Metabolomic studies could potentially illuminate altered biochemical pathways, facilitating earlier detection and treatment of these conditions. Metabolomic investigations have revealed the role of oxidative stress, alterations in glucose and fat metabolism, mitochondrial dysfunction, apoptosis, glutamate excitotoxicity and alterations in myelin composition in neurodegenerative disorders. The common metabolic biomarkers identified includes glutamate, taurine, uric acid, branched chain amino acids, acylcarnitine, creatinine, choline, with some more amino acids and lipids. Metabolomics offers valuable insights into disease mechanisms and potential therapeutic targets by identifying biochemical and metabolic alterations, but still there are several aspects to be explored for accurate mapping of metabolites with specific pathway involved in the disease.