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.
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.
aBackground. Stroke and acute myocardial infarction are the leading causes of death and disability in industrialized countries. Multiple interactions exist between the various forms of cardiovascular and cerebrovascular diseases, and risk factors for development of stroke and major cardiovascular events are similar. There is currently no clear link between acute coronary syndrome and stroke, although it has been repeatedly described. In addition, there are currently no clear recommendations for how to proceed in the case of signs of myocardial damage in patients with acute stroke and how to manage the next follow-up. Methods-Design. In this prospective observational trial, 500 consecutive ischemic stroke patients admitted at the Comprehensive Stroke Center will be enrolled within 12 h from stroke onset. The set of examinations will consist of: 1) Acute brain computed tomography or magnetic resonance imaging 2) Laboratory tests: A) within 12 h from stroke onset: NT pro B-type of natriuretic peptide, pro-atrial natriuretic peptide, creatinekinase MB, troponin T (cTnT), interleukin 6, procalcitonin, high sensitive C-reactive protein and D-dimers. B) control level of cTnT after 4 h from admission C) nonacute laboratory samples within 60 h from stroke onset: glycated haemoglobine, serum lipids; 3) Electrocardiogram (ECG) on admission and 4 h from stroke onset; 4) Transesophageal or transthoracal echocardiography and 24-h ECGHolter within 15 days from stroke onset; 5) Neurosonological examination within 60 h from stroke onset; 6) Thirty patients with a positive finding of acute myocardial ischemia (ECG, cTnT) will be examined by coronary angiography (CAG); 7) Epidemiological data will be acquired. Statistics. The epidemiological characteristics of the whole sample of patients; correlation between differences between group of cardioembolic ischemic stroke patients and group of patients with ischemic stroke of another etiology; correlation of infarction volume on DWI-MRI with the level of cTnT; correlation of the ECG findings with the level of cTnT and clinical signs; correlation of the CAG findings with level of cTnT and ECG findings will be statistically evaluated at the 5% level of statistical significance. Conclusion. The main goal of the project is to improve identification of patients with acute coronary syndrome and with concurrent acute ischemic stroke as these patients require specific treatment and secondary prevention of ischemic events. Trial registration. Clinicaltrials.gov NCT01541163.
To compare circulating pigment epithelium derived factor (PEDF) levels in type 2 diabetes patients (T2D) with and without metabolic syndrome (MetS+/-) to healthy controls and assess PEDF association with plasminogen activator inhibitor-1 (PAI-1) and von Willebrand factor (vWF) as markers of endothelial dysfunction. Fifty T2D individuals and forty healthy controls were included. PEDF, PAI-1, vWF, anthropological parameters, lipids, and markers of insulin resistance were investigated in all subjects. Compared to controls only MetS+ diabetics had higher PEDF levels [14.2 (10.2-16.0) mg/l vs. 11.1 (8.6-14.4) mg/l; p<0.05]. PEDF significantly correlated: positively with body mass index (ρ=0.25), smoking (ρ=0.21), C-reactive protein (ρ=0.22), triglycerides (ρ=0.38), non-HDL-cholesterol (ρ=0.39), apolipoprotein B (ρ=0.38), fasting glucose (ρ=0.22), glycated hemoglobin (ρ=0.24), C-peptide (ρ=0.28), insulin (ρ=0.26); and negatively with HDL-cholesterol (ρ=-0.42) and apolipoprotein A1 (ρ=-0.27). Independent association of PEDF with vWF in T2DMetS- subjects was found. Significantly elevated PEDF in T2DMet+ patients and its association with adverse metabolic profile confirmed PEDF as a marker of insulin resistance. Negative independent association of PEDF with vWF in T2DMetS- patients may reveal its angio-protective role.
Backgrounds Glucagon-like peptide 1 (GLP-1) and glucose-dependent insulinotropic peptide (GIP) may be involved in pathogenesis of gestational diabetes mellitus (GDM). The aim was to compare GLP-1 and GIP production in fasting state and during 3 h mixed meal tolerance test (MMTT) measured by mean area under the curve (AUC) between pregnant women with normal and impaired fasting glucose in an early phase of pregnancy, and healthy non-pregnant controls. Methods This study was undertaken as a case–control study. Repeated measurement of fasting plasma glucose ≥ 5.1 mmol/L and < 7.0 mmol/L during the first trimester of pregnancy and exclusion of overt diabetes according to IADSPG criteria was used to find women with impaired fasting glucose (n = 22). Age-matched controls consisted of healthy pregnant (n = 25) and non-pregnant (n = 24) women. In addition to incretins, anthropometric parameters and markers of insulin resistance and beta-cell function were assessed. Variables were summarized as median (interquartile range). Results Fasting GLP-1 and GIP concentration or their AUC during MMTT did not significantly differ between pregnant women with impaired fasting plasma glucose [GLP-1AUC 19.0 (53.1) and GIPAUC 302 (100) pg/mL/min] and healthy pregnant women [GLP-1AUC 16.7 (22.3) and GIPAUC 297 (142) pg/mL/min] or non-pregnant controls [GLP-1AUC 16.8 (9.8) and for GIPAUC 313 (98) pg/mL/min]. Although women with impaired fasting glucose were more obese and showed decreased beta-cell function, there were not significant correlations between incretin production and parameters of insulin secretion, insulin resistance, or obesity. Conclusions Women with impaired fasting plasma glucose did not show altered incretin production in the first trimester of pregnancy. In contrast to type 2 diabetes, impaired incretin secretion does not seem to play a major role in the early development of GDM.
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