CLINICAL AND METABOLIC FEATURES OF THE KAZAKH POPULATION: SEARCH FOR BIOMARKERS OF THE AGE-ASSOCIATED PATHOLOGY BASED ON MULTIOMICS DATA
Introduction: The determination of variations in various metabolites can be used to predict disease risk and diagnosis, to understand molecular pathophysiology, to interpret an understanding of the effects of the environment and lifestyle, as well as to develop and evaluate drug efficacy, toxicity, and adverse reactions.
Purpose: in this work, we evaluated the clinical and metabolic features among the adult population living in Kazakhstan to identify and characterize metabolic biomarkers of age-associated pathology based on the analysis of multi-mix data.
Materials and methods: A one-stage trans-sectional study of healthy Kazakhs over 18 years old was performed. Plasma metabolome study in 60 individuals of Kazakh nationality on a platform using the tandem technology of ultrahigh liquid chromatography and mass spectroscopy (Ultrahigh Performance Liquid Chromatography-Tandem Mass Spectroscopy (UPLC-MS / MS)) was conducted. Clinical and biochemical parameters in these individuals were also determined. The necessary logarithmic transformation and ANOVA analysis of variance, two-sample Welch t-test for determining bio compounds, which differed significantly between the experimental groups, were carried out.
Results: Metabolic changes estimated depending on age and the presence or absence of obesity. 692 different biochemical indicators of the main pathways of the metabolism of amino acids, peptides, nucleotides, carbohydrates, cofactors and vitamins, xenobiotics, lipid and energy metabolism were determined. Changes in several known metabolites and metabolic pathways were found in a group older than 45 years compared with a group of young individuals (metabolites associated with the exchange of fatty acids, steroidogenesis (biosynthesis of steroid hormones), with inflammation and oxidative stress.
Conclusions: Thus, the analysis of the metabolic profile of the blood allows one to take into account the influence of both internal (endogenous) and external (exogenous) factors affecting the body, for example, xenobiotics, drugs, etc., which makes it a universal and promising source of age-related clinical biomarkers associated pathology.
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Akilzhanova A.R., Kozhamkulov U.A., Rakhimova S.Е., Kairov U.Е., Yerezhepov D.А., Askarova Sh.N., Kushugulova A.R. Clinical and metabolic features of the kazakh population: search for biomarkers of the age-associated pathology based on multiomics data // Nauka i Zdravookhranenie [Science & Healthcare]. 2019, (Vol.21) 5, pp. 53-67.Related publications:
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