Hyperuricemia has been described as associated with the risk of development metabolic syndrome; however the relationship between the uric acid level and particular parameters of metabolic syndrome remained unclear. We performed a cross-sectional study on a cohort of 833 dyslipidemic patients and correlated their levels of uric acid with parameters of insulin resistance, lipid metabolism, C-reactive protein, anthropometric parameters. We also defined patients with hypertriglyceridemic waist phenotype and compered their uric acid levels with those without this phenotype. We found that levels of uric acid are associated with parameters of metabolic syndrome. Specifically, dyslipidemia characteristic for metabolic syndrome (low HDL cholesterol and high triglycerides) correlates better with uric acid levels than parameters of insulin resistance. Also waist circumference correlates better with uric acid levels than body mass index. Patients with hypertriglyceridemic waist phenotype had higher levels of uric acid when compared with patients without this phenotype. Serum uric acid levels are even in low levels linearly correlated with parameters of metabolic syndrome (better with typical lipid characteristics than with parameters of insulin resistance) and could be associated with higher cardiovascular risk.

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Patients with T2D have significantly higher levels of A-FABP and lower levels of adiponectin. These adipokines correlate with indicators of vascular damage and could contribute to cardiovascular risk in patients with T2D. A-FABP may participate in direct endothelium damage.

Lipoprotein (a) [Lp(a)] is an LDL-like particle that contains an apolipoprotein B100 molecule covalently bound to a plasminogen-like glycoprotein, apolipoprotein (a) [apo(a)]. Epidemiological evidence supports a direct and causal association between Lp(a) levels and coronary risk. On the contrary, a few prospective findings demonstrate inverse association of Lp(a) levels with risk of type 2 diabetes (T2DM). The aim of our study was to evaluate the association of Lp(a) with indicators of insulin resistance (IR) and metabolic syndrome (MS), which precede development of T2DM. We enrolled 607 asymptomatic dyslipidemic subjects (295 men and 312 women, mean age 45.6±14.0 years) into our cross-sectional study. Lp(a) concentrations correlated inversely with TG, AIP, insulin, HOMA, C-peptide, BMI, waist circumference, and number of MS components (p<0.01 for all). Subjects with MS had significantly lower Lp(a) concentrations in comparison with those without the presence of this phenotype (p<0.0001). Serum concentrations of Lp(a) in the lower (1th-3rd) quartiles of insulin and HOMA were significantly higher than in the 4th quartile of these insulin resistance markers (p<0.001). Odds ratios of having increased markers of IR (TG, HOMA) and MS in top quartile of Lp(a) also indicate inverse association of Lp(a) with IR. The results of our study support an inverse association of Lp(a) levels with IR and MS that precedes overt T2DM diagnosis.