Siberian State Medical University

Upper-Intermediate (B2)

1. Grant from the Presidential Grant Foundation "Siberia – a Region of Health" (contract no. 17 – 2 – 006747 dated November 22, 2017)
2. The winner of the "UMNIK" competition of the Foundation for Assistance to Small Innovative Enterprises in Science and Technology, "Development of personalized diet therapy using individual glycemia and body composition data" (contract No. 12905GU/2018, dated February 8, 2018)
3. Grant from the Presidential Grant Foundation "Tomsk Academy of Active Longevity" (contract No. 18-2-001183 dated November 31, 2018) (co-executor)
4. Grant from the Presidential Grant Foundation "Tomsk Academy of Active Longevity. Reboot" (contract No. 19-2-005643 dated July 17, 2019) (co-executor)
5. Grant from FSEI HE SibMed of the Ministry of Health of the Russian Federation "Early markers for predicting the phenotype of obesity in children and adolescents", order No. 515 dated June 28, 2021.
6. Grant from the President of the Russian Federation for state support of young Russian scientists — Doctors of Sciences, No. МД-3664.2022.3, "Metabolic imprinting as a factor in the neurocognitive development of obese children and adolescents", 2022-2023 (co-executor)
7. Co-executor of the grant No. 22-25-00632 dated January 10, 2022 with the Russian Science Foundation on the topic: "Metabolic profiling for early diagnosis of sarcopenia"
8. Grant from the Russian Science Foundation "Using lipidomic profiles to create a prognostic model of the obesity phenotype in children and adolescents", contract No. 23-75-01034 dated August 8, 2023, leadership role 
   

1. Predicting the expression of obesity phenotype
2. Predictive diagnosis of obesity
3. Lipidomic profiling in obese children and adults
   
4. Sarcopenic obesity
   
5. Behavioral patterns in obese patients
   
6. Metabolic profiling in obese individuals
   
7. Basal metabolism characteristics based on metabolic status 
   

• The qualification of an endocrinologist/dietitian
• Excellent English language skills
• Experience of participation in research projects
• Basic knowledge of statistical analysis in medical research 
  

1. Yu.G. Samoilova, M.V. Matveeva, D.V. Podchinenova [et al.]. The relationship of free fatty acid levels with cognitive status and neuroimaging characteristics in adolescents with obesity // Obesity and metabolism. – 2024. – Vol. 21, No. 2. – P. 116-124. – DOI 10.14341/omet13017. – EDN CHHWMP. (In Russ.)
   
2. Yu. G. Samoilova, M. V. Matveeva, L. V. Spirina [et al.]. Neuroinflammation in Obese Children // Bulletin of Experimental Biology and Medicine. – 2024. – Vol. 176, No. 3. – P. 386-389. – DOI 10.1007/s10517-024-06029-8. – EDN IDXLFU.
   
3. Podchinenova D.V., Tarabrina A.A., Ogorodova L.M., Samoilova Yu.G., Matveeva M.V., Oleynik O.A. Patterns of eating habits and body composition in primary school children // Problems of Nutrition. 2023. Vol. 92, No. 3. P. 45-53. DOI: https://doi.org/10.33029/0042-8833-2023-92-3-45-53. (In Russ.)
   
4. Yu.G. Samoilova, D.V. Podchinenova, D.A. Kudlay, M.V. Matveeva, O.A. Oleinik, V.G. Zinchuk, A.S. Sukhikh, M.A. Davydova. Analysis of fatty acid pool associations, biochemical parameters and body composition in children and adolescents with different body weights // Pediatria. Journal named after G.N.SPERANSKY. – 2023. – Vol. 102, No. 1. – P. 137-146. – DOI 10.24110/0031-403X-2023-102-1-137-146. (In Russ.)
   
5. Yu.G. Samoilova, D.V. Podchinenova, M.V. Matveeva, O.A. Oleynik, D.A. Kudlay, M.A. Kovarenko. Prospects for the use of lipidomic analysis in the diagnosis of metabolic disorders // Pediatria. Journal named after G.N.SPERANSKY. – 2023. – Vol. 102, No. 5. – P. 174-180. – DOI 10.24110/0031-403X-2023-102-5-174-180. (In Russ.)
   
6. D.V. Podchinenova, Yu.G. Samoilova, O.S. Kobyakova, D.A. Kudlay, M.V. Koshmeleva, O.A. Oleynik, I.V. Tolmachyov. Method for non-invasive screening of insulin resistance based on bioimpedance measurement data // Pediatria. Journal named after G.N.SPERANSKY. – 2019. – Vol. 98, No. 6. – P. 86-90. – DOI 10.24110/0031-403X-2019-98-6-86-90. (In Russ.)  
   

• Computer program "FatPredict", Certificate of registration of the computer program RU 2020614068, dated March 26, 2020. Application No. 2020613130 dated March 23, 2020. Authors: Podchinenova D.V., Samoilova Yu.G., Oleynik O.A., Kobyakova O.S., Tolmachev I.V.
• A patent for the invention "A method for early noninvasive diagnosis of metabolic disorders in children and adolescents." Application No. 2734336 dated October 15, 2020. Authors: Podchinenova D.V., Samoilova Yu.G., Oleynik O.A., Kobyakova O.S., Tolmachev I.V.
  
• Certificate of state registration of the database No. 2022623398, Russian Federation. Database of bioimpedance measurement results of key body composition indicators : No. 2022623413 : filed on December 6, 2022 : published on December 13, 2022 / Yu.G. Samoilova, D.V. Podchinenova, O.A. Oleynik [et al.] ;
  
• Certificate of state registration of the computer program No. 2022684281, Russian Federation. Software module for classifying a person's weight category based on a neural network model: No. 2022683423 : filed on December 2, 2022, published on December 13, 2022 / V.V. Laptev, N.V. Laptev, I.V. Tolmachev [et al.].