This article discusses the integration of phenotypic data into pharmacotherapy using metabolomics to personalize treatment. The study focuses on the analysis of metabolites that may reflect internal and external processes of the body, and their changes depending on age. Among the known metabolites, metabolomics offers the possibility of early diagnosis of diseases by identifying molecular changes associated with aging. The purpose of this study was to determine and compare the concentration levels of metabolites in the blood plasma between different age groups of apparently healthy people in Uzbekistan. The study included 266 individuals, divided into three age groups. The use of nuclear magnetic resonance (NMR) made it possible to identify 27 metabolites in blood plasma. The analysis showed that 10 of them showed statistically significant differences in concentrations associated with age.
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Nurmatova et al. (2024) studied this question.
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