Abstract
Topicality. The link between hyperuricemia (HUA) and insulin resistance (IR) has been established in many studies, but the traditional «insulin» indices used to assess the severity of IR, although there are the most informative, sensitive and specific, have not been widely used in clinical practice. The aim of the research is to evaluate the possibility to use calculated «non-insulin» indices in clinical practice to assess IR in patients with type 2 diabetes (T2DM) with HUA. Materials and methods. We examined 395 patients with type 2 diabetes (231 women and 164 men) aged 39 to 81 years, the average — (54.6 ± 12.9) years, who received oral hypoglycemic therapy. Anthropometric indicators were determined — waist circumference (WC) and body mass index (BMI). The author determined the level of fasting blood glucose in capillary blood by glucose oxidase method, the concentration of uric acid (SUA) in the serum, the level of high-density lipoprotein cholesterol (HDL-C), triglycerides (TG) — by colorimetric method; immunoreactive insulin — by immunochemiluminescent method. The IR severity was assessed by indices HOMA-IR, QUICKI, Caro, visceral obesity index (AVI), triglyceride-glucose index (TyG-index), TyG-BMI index, TyG-WC index, metabolic index (MI) and the ratio of TG/cholesterol-HDL (TG/HDL-C-ratio). Statistical analysis of the obtained data was performed using the software package «Statgraphics Plus for Windows 10.0». Results. Between groups of patients with T2DM on the concentration of SUA in the blood the author found significant differences in WC, BMI and TG level, which affected the calculated «non-insulin» indices: AVI (P = 0.026), TyG-index (P = 0.04), TyG-BMI-index (P = 0.001), TyG-WC index (P = 0.037) and MI (P = 0.03). A positive correlation between HOMA-IR and MI (rs = 0.44, P = 0.0006) and AVI (rs = 0.28, P = 0.01) was established; QUICKI with MI (rs = 0.32, P = 0.012), TyG-index (rs = 0.29, P = 0.02), TyG-BMI index (rs = 0.25, P = 0.04), TyG-WC index (rs = 0.34, P = 0.004) and AVI (rs = 0.31, P = 0.01). It has been determined that the Caro index at the trend level positively correlates with the TyG-index (rs = 0.23, P = 0.065). Among the studied calculated «non-insulin» indices in patients with T2DM with the concentration of SUA in the blood are significantly associated with TyG-index (rs = 0.19; P = 0.0034), TyG-BMI index (rs = 0.43; P = 0.0001), TyG-WC index (rs = 0.44; P = 0.00001), MI (rs = -0.17; P = 0.012) and TG/HDL-C-ratio (rs = 0.15); P = 0.011). Conclusions. the author established a positive correlation between HOMA-IR and MI and AVI in patients with T2DM with SUA; QUICKI with MI, TyG-index, TyG-BMI-index, TyG-WC-index and AVI. Among the calculated «non-insulin» IR indices with the concentration of SUA in patients with T2DM are significantly associated with TyG-index, TyG-BMI-index, TyG-WC-index, MI and TyG/HS-HDL. To adequately assess the severity of IR in patients with T2DM with HUA, it is advisable to use TyG-index, TyG-BMI-index, TyG-WC-index, MI and TG/HS-HDL.
Highlights
serum uric acid (SUA) levels are related to insulin resistance (IR) and body mass index (BMI), rather than insulin levels, suggesting that obesity-driven metabolic syndrome as a major determinant of its levels [8]
The analysis of clinical and biochemical parameters included determining the level of fasting plasma glucose (FPG, mmol/L) two hours after the meal (РРG, mmol/L) glucose oxidase method using an express analyzer «Biosen C line»; glycosylated hemoglobin level (HbA1c, %), high-density lipoprotein chole sterol (HDL-C), ТG, concentration of uric acid in the blood serum (SUA, μmol/L), using the colorimetric method
We found significant differences between the study groups by waist circumference (WC), BMI and the level triglyceride ratio (TG), as expected
Summary
SUA levels are related to insulin resistance (IR) and body mass index (BMI), rather than insulin levels, suggesting that obesity-driven metabolic syndrome as a major determinant of its levels [8]. The author used direct, indirect, and computational methods to estimate IR [13, 14]. Direct methods for assessing IR include: insulin tolerance test, insulin suppressive test, and euglycemic hyperinsulinemic «klamp» — a test that determines the effect of an insulin infusion on glucose metabolism. The latter is considered the most informative, sensitive, and specific method [15,16,17]. Indirect methods (oral and intravenous glucose tolerance tests and continuous glucose infusion with model assessment) evaluate the effect of endogenous insulin.
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