The aim of this project is to create a registry of patients at risk of developing diabetes or already diagnosed with diabetes, 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.~As part of the project, each patient will participate in one visit at the research center. During the visit, each patient will undergo a detailed medical interview regarding the current health condition, the course of previously diagnosed diseases, family history, physical activity and diet. In addition, venous blood will be taken for each patient, from which the basic metabolic parameters will be determined (including glucose, lipid profile, HbA1c, AST, ALT, GGTP, electrolytes, blood count with smear, presence of antibodies against beta-cell antigens, TSH, ACTH) and omics analyzes will be performed (including genotyping and sequencing of DNA, transcriptomics, metabolomics, proteomics and lipidomics). Additionally, from each patient, saliva, urine, stool sample, and skin and nasal swabs to assess the microbiome will be collected. Each patient will also receive a detailed body composition analysis using bioimpedance and densitometry (DXA) and grip strength analysis. Non-diabetic patients will also undergo an oral glucose load test (OGTT).~In addition, patients who give additional consent will be able to participate in additional visits, including abdominal MR imaging with the assessment of liver steatosis, a biopsy of the vastus lateralis muscle, cardio-pulmonary exercise test, metabolic clamp (euglycemic - hyperinsulinemic) and glycemia assessment using the continuous glucose monitoring system ( CGM).~As part of the project, we plan for follow-up each participant with re-visits in the study centre every five years, covering exactly the same schedule of visits as the patient will make the first time.
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.