Публикации

СОТРУДНИКОВ ЛАБОРАТОРИИ ЭНДОКРИНОЛОГИИ

2023

Korbut AI, Romanov VV, Klimontov VV. Urinary markers of tubular injury and renal fibrosis in patients with type 2 diabetes and different phenotypes of chronic kidney disease.Life 2023; 13(2):343. doi: 10.3390/life13020343.

2022

Koroleva E., Bulumbaeva D., Korbut A., Klimontov V. Modeling of Risk Factors for Peripheral Artery Disease in Patients with Type 2 Diabetes. // 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Yekaterinburg, Russian Federation, 11-13th November 2022. Publisher: IEEE. P. 200-205. doi: 10.1109/SIBIRCON56155.2022.10017018.

Korbut A., Romanov V.Urinary excretion of type IV collagen in non-albuminuric and albuminuric patterns of chronic kidney disease in subjects with type 2 diabetes. // 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Yekaterinburg, 11-13th November 2022. Publisher: IEEE. P. 210-214. doi: 10.1109/SIBIRCON56155.2022.10016937.

Saik O., Klimontov V. BioinformaticAnalysis of Gene Networks Related to Diabetic Nephropathy and Endothelial Activation. // 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Yekaterinburg, 11-13th November 2022. Publisher: IEEE. P. 340-343. doi:10.1109/SIBIRCON56155.2022.10017112.

Климонтов В.В. Предикторы успеха или неудачи в достижении целей гликемического контроля у больных сахарным диабетом 2 типа на базальном инсулине: обзор исследований в реальной клинической практике. Сахарный диабет 2022;25(6):556-563. doi: 10.14341/DM12950.


Berikov V.B.,Kutnenko O.A.,Semenova J.F.,Klimontov V.V. Machine Learning Models for Nocturnal Hypoglycemia Prediction in Hospitalized Patients with Type 1 Diabetes.J Pers Med.2022; 12(8): Article 1262. doi.org/10.3390/jpm12081262.

Fazullina O.N., Korbut A.I., Klimontov V.V. Factors associated with trabecular bone score in postmenopausal women with type 2 diabetes and normal bone mineral density. World J. Diabetes. 2022;13(7):553-565. doi: 10.4239/wjd.v13.i7.553.

Rossing P., Burgess E., Agarwal R., Anker S.D., Filippatos G., Pitt B., Ruilope L.M., Gillard P., MacIsaac R.J., Wainstein J., Joseph A., Brinker M., Roessig L., Scott C., Bakris G.L.; FIDELIO-DKD Investigators. Finerenone in Patients With Chronic Kidney Disease and Type 2 Diabetes According to Baseline HbA1c and Insulin Use: An Analysis From the FIDELIO-DKD Study. Diabetes Care. 2022;45(4):888-897. doi: 10.2337/dc21-1944.

Klimontov V.V., Semenova J.F. Glucose variability in subjects with normal glucose tolerance: Relations with body composition, insulin secretion and sensitivity. Diabetes Metab Syndr. 2022;16(1):102387. doi: 10.1016/j.dsx.2022.102387.

Saik O.V.,Klimontov V.V. Gene Networks of Hyperglycemia, Diabetic Complications, and Human Proteins Targeted by SARS-CoV-2: What Is the Molecular Basis for Comorbidity? Int J Mol Sci. 2022;23:7247.doi:10.3390/ijms23137247

Klimontov V., Kladov D., Berikov V., Semenova J. Nocturnal glucose fluctuations in patients with type 1 diabetes: which patterns are associated with hypoglycemia? Diabetes Technology and Therapeutics. 2022; 24 (Suppl. 1): A-164. doi: 10.1089/dia.2022.2525.abstracts.

Klimontov V., Semenova J., Korbut A.Factors affecting glucose variability in patients with type 1 diabetes in the hospital setting. Diabetes Technology and Therapeutics. 2022; 24 (Suppl. 1): A-199. doi: 10.1089/dia.2022.2525.abstracts.

Saik O.V., Klimontov V.V. 1291-P: Bioinformatics Analysis of Gene Networks Associated with Glucose Variability and Inflammatory Pathways in Diabetes. Diabetes 2022; 71 (Suppl. 1): P-1091. doi.org/10.2337/db22-1291-P.

Семенова Ю.Ф., Климонтов В.В. Референсные значения суточных, дневных и ночных показателей вариабельности гликемии у лиц с нормальной толерантностью к глюкозе. Сахарный диабет. 2022; 25(2): 104-111. doi:10.14341/DM12793.


2021

Klimontov V.V., Koroleva E.A., Khapaev R.S., Korbut A.I., Lykov A.P. Carotid Artery Disease in Subjects with Type 2 Diabetes: Risk Factors and Biomarkers. J Clin Med. 2021;11(1):72. doi: 10.3390/jcm11010072.

Klimontov V.V., Saik O.V., Korbut A.I. Glucose Variability: How Does It Work? Int J Mol Sci. 2021; 22; Article 7783. doi: 10.3390/ijms22157783.

Климонтов В.В., Бериков В.Б., Сайк О.В. Искусственный интеллект в диабетологии. Сахарный диабет 2021; 24; (2): 156-166. –doi: 10.14341/DM12665.

Orlov Y.L., Anashkina A.A., Klimontov V.V., Baranova A.V. Medical Genetics, Genomics and Bioinformatics Aid in Understanding Molecular Mechanisms of Human Diseases.Int. J. Mol. Sci 2021; 22; (18): Article 9962. – doi: 10.3390/ijms22189962.

Климонтов В.В., Булумбаева Д.М. Лимфатическая системы и жировая ткань: коммуникации в норме и патологии. Ожирение и метаболизм 2021; 18; (3): 336-344. – doi: 10.14341/omet12776.

Klimontov V., Semenova J.F., Korbut A.I. 135-OR: Impaired Awareness of Hypoglycemia Is Associated with Residual Beta-Cell Function and Glucose Variability Parameters in Patients with Type 1 Diabetes. Diabetes 2021; 70(1): 135-OR. – doi: 10.2337/db21-135-OR.

Berikov V., Semenova J.F., Klimontov V. 340-P: Nocturnal Hypoglycemia Prediction in Hospitalized Patients with Type 1 Diabetes Using Combined Supervised and Unsupervised Ensemble Learning. Diabetes 2021; 70(1): 340-P. doi: 10.2337/db21-340-P.

Saik O.V., Klimontov V. 384-P: Text Mining and Bioinformatic Identification of Genes Linking Glycemic Variability and Impaired Angiogenesis in Diabetes. Diabetes 2021; 70; (1): 384-P. – doi: 10.2337/db21-384-P.

Saik O., Klimontov V. Bioinformatic analysis by ANDSystem revealedmembers of IL-6 signaling pathway initiated by glucose variability andinvolved in diabetic retinopathy. In: 2021 IEEE Ural-Siberian Conference onComputational Technologies in Cognitive Science, Genomics and Biomedicine(CSGB) 2021; P: 30-32. – doi: 10.1109/CSGB53040.2021.9496018.

Краснер Я.А., Осипенко М.Ф., Литвинова Н.В., Бикбулатова Е.А., Холин С.И., Климонтов В.В. Неалкогольная жировая болезнь печени — взгляд на диагностичеcкие перспективы. Экспериментальная и клиническая гастроэнтерология2021; 191; (7): 62–67. doi: 10.31146/1682-8658-ecg-191-7-62-67.

Berikov VB, Kozinetz RM, Semenova JF, Klimontov VV. Machine learning approaches for prediction of nocturnal hypoglycaemia in patients with type 1 diabetes in a hospital setting. Diabetologia 2021; 64(Suppl. 1): 84-85.

Klimontov VV,Dashkin MV, Semenova JF. Continuous glucose monitoring parameters are related to serum levels of non-enzymatic glycation products in patients with type 1 diabetes. Diabetologia 2021; 64(Suppl. 1): 330.


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