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Background: Platelets play an important role in the development of cardiovascular disease (CVD). Mean platelet volume (MPV) is considered as biological marker of platelets activity and function. The aim of the present study was to evaluate MPV values and its possible correlation with arterial stiffness and subclinical myocardial damage, in normal glucose tolerance patients (NGT), in newly diagnosed type 2 diabetic (T2DM) patients and in individuals with pre-diabetes. Methods: We enrolled 400 newly diagnosed hypertensive patients. All patients underwent an Oral Glucose Tolerance test (OGTT). Arterial stiffness (AS) was evaluated with the measurement of carotid-femoral pulse wave velocity (PWV), augmentation pressure (AP) and augmentation index (AI). Echocardiographic recordings were performed using an E-95 Pro ultrasound system. Results: Among groups there was an increase in fasting plasma glucose (FPG) (p < 0.0001), fasting plasma insulin (FPI) (p < 0.0001), high sensitivity c reactive protein (hs-CRP) levels (p < 0.0001) and a decrease in renal function as demonstrated by e-GFR values (p < 0.0001). From the NGT group to the T2DM group there was a rise in MPV value (p < 0.0001). Moreover, in the evaluation of arterial stiffness and subclinical myocardial damage, MPV showed a positive correlation with these parameters. Conclusions: In the present study we highlighted that MPV is significantly increased, not only in newly diagnosed T2DM patients, but also in early stage of diabetes, indicating that subjects with pre-diabetes present increased platelets reactivity. Moreover, our results suggest that MPV is associated with increased arterial stiffness and subclinical myocardial damage, indicating MPV as new marker of CV risk. [ABSTRACT FROM AUTHOR]

Background: Proprotein Convertase Subtilisin/Kexin type 9 (PCSK9) levels have been suggested as novel atherosclerotic biomarker. PCSK9 plays important roles in the pathogenesis of atherosclerosis by regulating the degradation of low‐density lipoprotein receptor as well as different inflammatory pathways. Considering the important prognostic role of arterial stiffness in cardiovascular disease (CVD), the aim of the study is to investigate the correlation between PCSK9 levels and arterial stiffness in a cohort of diabetic patients, without previous CV events. Methods: This cross‐sectional analysis enrolled 401 Caucasian patients with type II diabetes mellitus (T2DM). PCSK9 levels were measured by ELISA test, arterial stiffness was estimated by measuring carotid‐femoral pulse wave velocity (PWV). Results: Patients were divided in three tertiles according to increasing value of PCSK9. From the I to the III tertiles, there was a significant increase in high sensitivity C‐reactive protein (hs‐CRP), fibrinogen and white blood cells (WBC) and a reduction in estimated glomerular filtration rate (e‐GFR). Patients with higher levels of PCSK9 presented increased systolic, diastolic blood pressure, pulse pressure and PWV. PWV was significantly and directly correlated with PCSK9, fibrinogen, age, BMI and PP, and indirectly correlated with diet, lifestyle and e‐GFR. Serum PCSK9 was the major predictor of PWV, justifying a 16.9% of its variation. Conclusion: Our study demonstrates a close association between circulating PCSK9 levels and PWV in T2DM subjects without previous CV events even after adjusting for well‐known CV risk factor and pharmacological medications. Serum PCSK9 could be a useful biomarker for CV risk stratification in diabetic subjects. [ABSTRACT FROM AUTHOR]

Systemic Sclerosis (SSc) is an autoimmune disorder characterized by organ and tissue fibrosis in which the incidence of atherosclerosis and cardiovascular events is increased, although the exact underlying mechanism remains unclear. Arterial stiffness is a marker of vascular damage that can predict cardiovascular events; therefore, this study aimed to assess the augmentation index (AIx) and pulse wave velocity (PWV), markers of stiffness, in a Systemic Sclerosis population and to detect potentially associated variables. Fourteen female Systemic Sclerosis patients and 14 age- and sex-matched controls were enrolled. Demographic, anthropometric, sero-hematological parameters and disease characteristics were collected for each participant. Arterial stiffness was evaluated using an applanation tonometry system. No differences were found between groups, except for BMI, fasting blood glucose, red blood cells count, hemoglobin, and treatment. Patients had increased augmentation index than the controls (p = 0.008). PWV was significantly decreased in SSc patients compared with the controls (p = 0.007). PWV was correlated with age (r = 0.462; p = 0.048) and BMI (r = 0.458; p = 0.050). Finally, patients with no specific auto-antibody pattern had greater AIx than those expressing anticentromere antibodies. Our study demonstrated that SSc patients had greater AIx, but lower PWV than the controls. In addition, few variables were correlated to arterial stiffness. Further studies are necessary to validate these findings and to establish medication's role in modifying cardiovascular risk. [ABSTRACT FROM AUTHOR]

Increased levels of uric acid (UA) have been shown to be correlated with many clinical conditions. Uric acid may adversely affect the insulin signalling pathway inducing insulin resistance (IR). Several studies report the association between arterial stiffness (AS), an early indicator of atherosclerosis, and UA. The purpose of the present study was to evaluate the association between UA and AS, considering the potential role of IR. We enrolled 1114 newly diagnosed, never-treated hypertensive patients. Insulin resistance was assessed by the homeostatic model assessment (HOMA) index. Arterial stiffness was evaluated as the measurement of the carotid–femoral pulse wave velocity (PWV). The study cohort was divided into subgroups, according to increasing tertiles of UA. The mean values of UA were 5.2 ± 1.6 mg/dL in the overall population. Pulse wave velocity was linearly correlated with UA (p < 0.0001), HOMA (p < 0.0001), high sensitivity C-reactive protein (p < 0.0001), systolic blood pressure (p < 0.0001) and LDL cholesterol (p = 0.005). Uric acid was the strongest predictor of PWV and was associated with the highest risk for increased AS. The interaction analysis showed that the joint effect of increased UA and HOMA was significantly higher than that expected in the absence of interaction under the additive model, indicating that the two biomarkers synergically interacted for promoting vascular damage. Our data showed that UA interacted with IR to increase AS in a large cohort of newly diagnosed, never-treated hypertensive patients. [ABSTRACT FROM AUTHOR]