The aim of this project is to create a registry of diabetic patients, containing a detailed clinical profile of each patient, along with omics data, which will be analyzed using artificial intelligence algorithms, and their results will be implemented in the form of new recommendations of care for high-risk patients and those already suffering from diabetes. The study will be conducted prospectively. The project participants will be patients with diabetes, patients at high risk of developing diabetes and a control group of normoglycemic patients who will participate in study visits at the Clinical Research Center of the Medical University of Bialystok.
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HbA1c
Timeframe: every 5 years
Fasting glucose
Timeframe: every 5 years
2-hour glucose
Timeframe: every 5 years
Fasting insulin
Timeframe: every 5 years
Lean body mass
Timeframe: every 5 years
Fat mass
Timeframe: every 5 years
Visceral Adipose Tissue mass
Timeframe: every 5 years
Weight
Timeframe: every 5 years
Homeostatic model assessment for insulin resistance (HOMA-IR)
Timeframe: every 5 years
Homeostatic model assessment of beta cell function (HOMA-beta)
Timeframe: every 5 years
VO2max
Timeframe: every 5 years
Triglycerides (TG)
Timeframe: every 5 years
High-density lipoprotein cholesterol (HDL)
Timeframe: every 5 years
Low-density lipoprotein cholesterol (LDL)
Timeframe: every 5 years
Total cholesterol
Timeframe: every 5 years
Plasma metabolome
Timeframe: every 5 years
Skeletal muscle transcriptome
Timeframe: every 5 years
Skeletal muscle metabolome
Timeframe: every 5 years
Plasma microRNAs
Timeframe: every 5 years