Vopr Pitan. 2022;91(2):5-14. doi: 10.33029/0042-8833-2022-91-2-5-14. Epub 2022 Mar 14.
ABSTRACT
The TCF7L2 gene is one of the new markers associated with the development of type 2 diabetes mellitus (DM). Evaluation of the effect of TCF7L2 gene polymorphisms on the effectiveness of hypoglycemic therapy will allow an individual approach to the choice of methods for treating type 2 DM in their carriers. The aim of the research was to study the effect of carriage of TCF7L2 gene polymorphisms on glycemic control parameters in patients with type 2 DM receiving metformin glucose-lowering therapy in combination with a low-calorie version of the standard diet. Material and methods. The study included 55 patients with type 2 DM (mean age 59.9±6.9, BMI 44.3±8.2 kg/m2) receiving metformin monotherapy at a dosage of 1500-2000 mg/day in combination with a low-calorie variant of the standard diet (1730±130 kcal/day). The frequency of occurrence of polymorphisms rs7903146/rs12255372 of the TCF7L2 gene was studied. The indicators of glycemic and metabolic control, anthropometric parameters and body composition were evaluated. Results. The frequency of occurrence of the T-allele of both single nucleotide polymorphisms rs7903146 and rs12255372 of the TCF7L2 gene among patients was 38.2%. Among carriers of the T-allele rs7903146 of the TCF7L2 gene, 72% of patients responded to therapy, showing a statistically significant decrease in the level of fasting glycemia by an average of 16.2±1.6% from the baseline, while among carriers of the CC genotype – 10.5±1.5% (p=0.017). There were no statistically significant changes in glycemic control indicators on hypoglycemic therapy during 7 months of observation, both in the group of T allele and CC genotype carriers. Conclusionss. An improvement in glycemic control was established in patients with type 2 DM among carriers of the T allele rs7903146 of the TCF7L2 gene during metformin therapy in combination with a low-calorie standard diet. The study of TCF7L2 gene polymorphism in combination with indicators of glucose metabolism makes it possible to predict the effectiveness of hypoglycemic therapy with great accuracy.
PMID:35596630 | DOI:10.33029/0042-8833-2022-91-2-5-14
