About the project
Project Manager
Toishimanov Maksat
master's degree
Scopus Author ID: 58055472000
Researcher ID: AGC-4729-2022
ORCID: 0000-0002-6070-4574
Relevance
Quantitative determination of fatty acids in blood serum is one of the key indicators of lipid metabolism and can serve as biomarkers in the diagnosis of prediabetes and diabetes mellitus.
The fundamental difference from the methods and the advantage of the declared Project are:
1. The study of blood serum materials by determining fatty acids will be carried out for the first time in the ethnic group of the Central Asian region - the Kazakh population.
2. For the first time, the prognostic role of fatty acids in the ethnic group of the Central Asian region - the Kazakh population will be studied.
3. For the first time in Kazakhstan, fatty acids in the blood serum of patients with prediabetes will be studied using gas chromatography with tandem mass spectrometry.
Project Goals
The aim of the project is to create a set of methods for early prediction of the development of prediabetes using GC-MS/MS, allowing the diagnosis of specific changes in the composition of fatty acids in the blood serum at an early stage of the development of prediabetes
Expected and/or achieved results
All obtained biochemical data of patients of control and diseased groups will be analyzed by descriptive statistics. The reliability of all two groups between questionnaire and biochemical parameters will be calculated. For this, a statistical program will be used to determine statistically significant indicators between questionnaire and biochemical parameters. Also, the parameters of the obtained fatty acids and the relationship between the control and diseased groups will be studied. For this, logistic regression will be used to determine significant relationships between the groups, including by gender. All these obtained results will be published in journals from the first three quartiles by impact factor in the Web of Science database or having a percentile by CiteScore in the Scopus database of at least 50.
Information for potential users
The hypothesis that people with diabetes are prone to lipid and lipoprotein abnormalities and that these abnormalities also cause type 2 diabetes is new to the population of Kazakhstan, as no relevant studies have been conducted. The project will primarily use tandem mass spectrometry to analyze blood samples, which has previously been used in non-Asian populations.