Department of Clinical and Personalized Medicine

· Fedulovs A, Janevica J, Kruzmane L, Sokolovska J. Glucose control and variability assessed by continuous glucose monitoring in patients with type 1 diabetes and diabetic kidney disease. Biomed Rep. 2024 Dec 2;22(2):23

· Rostoka E, Salna I, Dekante A, Pahirko L, Borisovs V, Celma L, Valeinis J, Sjakste N, Sokolovska J. DNA damage in leukocytes and serum nitrite concentration are negatively associated in type 1 diabetes. Mutagenesis. 2021 Jul 7;36(3):213-222. doi: 10.1093/mutage/geab015.

· Salna, I., Salna, E., Pahirko, L., Skrebinska, S., Krikova, R., Folkmane, I., ... & Sokolovska, J. (2021). Achievement of treatment targets predicts progression of vascular complications in type 1 diabetes. Journal of Diabetes and its Complications, 35(12), 108072.

· Ahola AJ, Radzeviciene L, Zaharenko L, Bulum T, Skrebinska S, Prakapiene E, Blaslov K, Roso V, Rovite V, Pirags V, Duvnjak L, Sokolovska J, Verkauskiene R, Forsblom. Association between symptoms of depression, diabetes complications and vascular risk factors in four European cohorts of individuals with type 1 diabetes - InterDiane Consortium. C.Diabetes Res Clin Pract. 2020 Dec;170:108495. doi: 10.1016/j.diabres.2020.108495

· Sokolovska J, Ostrovska K, Pahirko L, Varblane G, Krilatiha K, Cirulnieks A, Folkmane I, Pirags V, Valeinis J, Klavina A, Selavo L. Impact of interval walking training managed through smart mobile devices on albuminuria and leptin/adiponectin ratio in patients with type 2 diabetes. .Physiol Rep. 2020 Jul;8(13):e14506. doi: 10.14814/phy2.14506.

1. 2023–2025 – “Physics Informed Machine Learning-Based Prediction and Reversion of Impaired Fasting Glucose Management (PRAESIIDIUM)”, Horizon Europe project, Grant Agreement No. 101095672. Leading partner – Spindox Labs, Italy. The University of Latvia's responsibilities within the project include organizing a data collection study involving individuals with overweight or class I obesity, incorporating dietary and physical activity data, as well as contributing to the development of the study’s digital platform and the participant mobile application.

2. 2024–2025 – National Research Programme “Public Health”, project titled “Assessment and Improvement of Health Literacy among the Latvian Population: Development and Validation of a Population-Oriented Informative Educational Platform for the Study and Monitoring of Lifestyle-Related Risks”, project registration number with the Latvian Council of Science: VPP-VM-Sabiedrības_Veselība-2023/1-0003. Leading partner – Pauls Stradiņš Clinical University Hospital. The University of Latvia’s role in the project includes conducting a population-based study on health literacy through in-person surveys and a digital platform, as well as providing health literacy recommendations via the digital platform.

3. 2021–2024 – EEA Grants Baltic Research Programme, project No. EEA-RESEARCH-60: “Integrated Model for Diabetic Retinopathy Screening and Monitoring Using Risk Stratification and Artificial Intelligence-Based Automated Fundus Image Analysis (PerDiRe)”. J. Sokolovska served as the coordinator of the four-country consortium. Project activities included the recruitment of 472 patients with diabetes, providing them with comprehensive ophthalmological examinations and evaluating both traditional and novel risk factors for the progression of diabetic complications. The project also piloted automated grading of diabetic retinopathy severity, established screening intervals for diabetic retinopathy using artificial intelligence, and analyzed the cost-effectiveness of the newly proposed screening program.

4. 2021–2023 – Latvian Council of Science (LZP)/Fundamental and Applied Research Programme (FLPP) project No. lzp-2020/1-0138: “Association Between Glucose Variability, Gut Dysfunction, and Progression of Diabetic Nephropathy in Patients with Type 1 Diabetes”. Project in collaboration with Latvian Biomedical research and Study center (LU-lead partner). Project activities included a study involving 78 patients with type 1 diabetes and a control group. The research encompassed continuous glucose monitoring, analysis of inflammatory biomarkers in biological samples, dietary data analysis, and microbiome data analysis.

5. 2020–2023 – Postdoctoral Research Project No. 1.1.1.2/VIAA/3/19/525: “Intestinal Inflammation as a Potentially Modifiable Risk Factor for Type 1 Diabetes Complications” (co-funded by the European Regional Development Fund – ERDF). The project involved a study of 74 patients with type 1 diabetes and a control group. Data collection focused on inflammatory biomarkers, dietary habits, and gastrointestinal symptoms.

6. since 2013 – LatDiane: The Latvian Diabetic Nephropathy Study, supported by the State Genome Database for sample collection and storage, with methodological support from the InterDiane consortium. The aim of the project is to include as many individuals as possible living with type 1 diabetes in Latvia and to follow them longitudinally without a predefined time limit. The study involves the collection of biological samples and clinical data to investigate and better understand the mechanisms underlying the development of diabetes-related complications.

· Liquid nitrogen tank and ultra-low temperature freezer (-86 °C) for the storage of biological samples.

· Medical scales, pulse oximeters, tonometers, measuring tapes, and other equipment for participant examinations.

· Refrigerated medical laboratory bench centrifuge, vortex mixer, and mini-centrifuge for sample processing.

· Automated nucleic acid and protein extraction system, tissue sample homogenizer.

· AEG reader for the detection of advanced glycation end-products in the skin.

jelizaveta.sokolovska@lu.lv