MATHEMATICAL MODEL AS A METHOD OF EVALUATING THE ACTIVATION OF ONCOGENESIS IN PATIENTS WITH TYPE 2 DIABETES DOI Creative Commons
Т.С. Вацеба, Л.К. Соколова, V.M. Pushkarev

и другие.

Clinical and Preventive Medicine, Год журнала: 2025, Номер 2, С. 68 - 73

Опубликована: Апрель 17, 2025

Introduction. Numerous studies have proven the link between diabetes and cancer. Chronic metabolic disorders in type 2 (T2D) cause dysregulation of intracellular systems involved control cell survival, apoptosis, proliferation. The search for markers activation carcinogenesis continues. Aim. To develop a method assessing oncogenesis processes patients with T2D by creating mathematical model that takes into account complex impact activity components insulin signaling PI3K/Akt/mTOR. Materials methods. study 28 T2D, group consisted 16 practically healthy individuals. examination included determining indicators reflect carbohydrate metabolism compensation (glycemia, glycated hemoglobin (HbA1c)), levels growth factors (insulin, IGF-1), activity, such as phospho-PRAS40 phospho-p70S6K. Statistical analysis results was performed using STATISTIKA-12 software (StatSoft Inc., USA) statistical functions package Microsoft Excel. Using obtained data, developed discriminant analysis. Results. In significantly elevated fasting blood glucose, HbA1c, insulin, IGF-1, HOMA-IR were observed. Significantly increased phospho-p70S6K detected peripheral mononuclear cells. A has been created, which allows to be classified two groups: Group 1 – hyperactivation signaling, or without hyperactivation. most significant are levels, index, HbA1c. Conclusions. Discriminant proves importance comprehensive approach assessment taking compensation, sensitivity, cascade. confirms statistically influence hyperglycemia, hyperinsulinemia, resistance activating pathway.

Язык: Английский

ЕФЕКТИВНІСТЬ ІНГІБІТОРІВ НАТРІЙЗАЛЕЖНОГО КОТРАНСПОРТЕРУ ГЛЮКОЗИ 2 ТИПУ В КОРЕКЦІЇ ІНСУЛІНОРЕЗИСТЕНТНОСТІ У ЖІНОК РЕПРОДУКТИВНОГО ВІКУ ІЗ ЦУКРОВИМ ДІАБЕТОМ 2 ТИПУ DOI
M.M. Ivanishchak, Iryna Kostitska

Art of Medicine, Год журнала: 2025, Номер unknown, С. 46 - 52

Опубликована: Апрель 2, 2025

As a result of insulin resistance (IR), women reproductive age have higher risk the development and progressing type 2 diabetes (T2DM), which contributes to decrease in fertility potential. Despite ongoing scientific discoveries fields endocrinology patient-centered treatment goals, significant part global population lacks compensation for T2DM. Therefore, one alternative approaches treating with T2DM should be considered achieving glycemic targets while simultaneously correcting IR. The aim is evaluate efficacy sodium-glucose cotransporter inhibitors (SGLT2i) correction carbohydrate lipid metabolism A 12-week study involved 30 who met criteria. Based on their hypoglycemic therapy, participants were divided into two groups: group (n=15), received standard medication therapy (SMT) combined SGLT2i (dapagliflozin 10 mg/daily doses or empagliflozin 10-25 doses), control SMT consisting metformin 2000 doses, alpha-lipoic acid 600 inositol doses. groups comparable regarding primary disease its duration, age, body composition, anthropometric parameters, laboratory-instrumental characteristics IR, characteristics. Analysis after 12 weeks revealed differences outcomes between groups. Women group, іSGLT2 as regimen, experienced statistically reduction IR markers. Specifically, HOMA-IR index decreased 2.3-fold compared baseline values (study vs. group: ∆+127.77%; p<0.001). Improvements also observed composition: 1.4-fold visceral fat content (VFC) 1.3-fold total percentage ∆+38.25%; p=0.002 ∆+33.23%; p=0.003, respectively). Patients achieved better average level glycated hemoglobin (HbA1C) 7.26±0.86% (p<0.001) 8.48±0.80% representing an improvement ∆+16.80% (p=0.003). Additionally, metabolic age—a crucial indicator overall health—improved significantly group. It by 4.25%, resulting mean 48.20±4.33 years (p<0.001), 55.07±4.59 findings this highlight potential combining This therapeutic approach not only achieves but facilitates comprehensive symptoms, normalizes metabolism, improves parameters. With favorable safety profile demonstrated efficacy, integration management protocols offers promising optimizing specific patient population. These results underscore importance personalized strategies aimed at addressing both health

Язык: Английский

Процитировано

0

MATHEMATICAL MODEL AS A METHOD OF EVALUATING THE ACTIVATION OF ONCOGENESIS IN PATIENTS WITH TYPE 2 DIABETES DOI Creative Commons
Т.С. Вацеба, Л.К. Соколова, V.M. Pushkarev

и другие.

Clinical and Preventive Medicine, Год журнала: 2025, Номер 2, С. 68 - 73

Опубликована: Апрель 17, 2025

Introduction. Numerous studies have proven the link between diabetes and cancer. Chronic metabolic disorders in type 2 (T2D) cause dysregulation of intracellular systems involved control cell survival, apoptosis, proliferation. The search for markers activation carcinogenesis continues. Aim. To develop a method assessing oncogenesis processes patients with T2D by creating mathematical model that takes into account complex impact activity components insulin signaling PI3K/Akt/mTOR. Materials methods. study 28 T2D, group consisted 16 practically healthy individuals. examination included determining indicators reflect carbohydrate metabolism compensation (glycemia, glycated hemoglobin (HbA1c)), levels growth factors (insulin, IGF-1), activity, such as phospho-PRAS40 phospho-p70S6K. Statistical analysis results was performed using STATISTIKA-12 software (StatSoft Inc., USA) statistical functions package Microsoft Excel. Using obtained data, developed discriminant analysis. Results. In significantly elevated fasting blood glucose, HbA1c, insulin, IGF-1, HOMA-IR were observed. Significantly increased phospho-p70S6K detected peripheral mononuclear cells. A has been created, which allows to be classified two groups: Group 1 – hyperactivation signaling, or without hyperactivation. most significant are levels, index, HbA1c. Conclusions. Discriminant proves importance comprehensive approach assessment taking compensation, sensitivity, cascade. confirms statistically influence hyperglycemia, hyperinsulinemia, resistance activating pathway.

Язык: Английский

Процитировано

0