Relationship between vaspin, TNF-α and parameters of carbohydrate metabolism in patients with type 2 diabetes mellitus
Journal Title: Український терапевтичний журнал - Year 2019, Vol 0, Issue 3
Abstract
Objective — to assess the vaspin and TNF-α levels in patients with type 2 diabetes mellitus (DM-2), depending on the parameters of carbohydrate metabolism. Materials and methods. Examinations involved 31 patients with DM-2, the mean age 54.8 years, who were treated at the Endocrinology Department of the Municipal non-profit enterprise of the Kharkiv Regional Council «Regional Clinical Hospital». The control group consisted of 20 healthy volunteers. All patients received antihyperglycemic agent of sulfonylurea and/or biguanides types. The body mass index (BMI) was determined by the formula: BMI = weight (kg)/height (m). The fasting glucose, glycated haemoglobin was determined and the insulin resistance index HOMA-IR was calculated. The adipokines levels, vaspin and TNF-α, and level of immunoreactive insulin were evaluated in serum. statistical processing was performed using the Statistica Basic Academic 13 for Windows En package. Results and discussion. The average DM-2 duration of the investigated patients was 9.02 [3—13] years. All parameters of carbohydrate metabolism had significant deviations (FGL 8.18 [6.4—9.7]) mmol/l, HbA1c 7.23 % [6.5—7.89]) compared with the control group. The adipocytokines’ levels were significantly higher in patients with DM-2 (vaspin 3.47 pg/ml, TNF-α 6.87 pg/ml) compared with the control group. The correlation has been established between carbohydrate metabolism and the studied parameters. Vaspin and FGL (r = 0.62; p < 0.01), HOMA-IR (r = 0.45; p < 0.05), IRI (r = 0.6; p < 0.01) and HbA1c (r = 0.56; p < 0.01). The level of TNF-α had the following correlations with FPG (r = 0.35; p < 0.03), HOMA-IR (r = 0.51; p < 0.05), IRI (r = 0.52; p < 0.01), HbA1c (r = 0.32; p = 0.04). Conclusions. On the basis of the obtained results, it can be assumed that vaspin and TNF-α have a significant relationship with the parameters of carbohydrate metabolism, and at least can be biomarkers of carbohydrate metabolism disorders taking into account the obtained correlations.
Authors and Affiliations
D. І. Pylov
Keywords
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- EP ID EP668774
- DOI 10.30978/UTJ2019-3-59
- Views 103
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