Search

Purpose: The association between serum uric acid (SUA) and pulse wave velocity (PWV), has been extensively evaluated but with some discrepancies in results. A further limitation refers to the fact that only few data were analyzed taking into account the possible effects of gender. The purpose of this study was to estimate the association between SUA and arterial stiffness in general population and hypertensive patients, as a whole population and as divided by gender, by pooling results from existing studies. Materials and methods: Carotid-femoral and brachial-ankle PWV (cf- and ba-PWV) have been analyzed separately and subgroup analyses by gender are reported. Among 692 potentially relevant works, 24 articles were analyzed. Results: Seven studies referred to cf-PWV in the general population with an overall positive association at adjusted analysis for both males and females (beta regression coefficient (β): 0.07; 95%CI: 0.03; 0.11 and β: 0.06; 95%CI: 0.03; 0.09, respectively). Twelve studies referred to ba-PWV in the general population with the finding of a positive association at adjusted analysis for females (β: 0.04; 95% confidence interval (CI): 0.01;0.07), but not for males (β: 0.13; 95%CI: −0.09; 0.34). In hypertensive patients only four studies evaluated cf-PWV and one ba-PWV with only one study (with cf-PWV) finding positive association. Conclusion: The association between SUA and cf-PWV resulted significant in general population in both males and females while it was only significant for female regarding ba-PWV. Furthermore, the few available studies found no significant relationship between SUA and both cf- and ba-PWV in hypertensive subjects.

Purpose: Only few studies evaluated biomarkers useful for defining the cardiovascular risk of a subject in a pre-clinical condition (i.e. healthy subjects). In this context we sought to determine the relationships of Plasminogen activator inhibitor type 1 (PAI‐1), P-Selectin, Tissue Inhibitors Metalloproteinases type 1 (TIMP-1) and Cystatin-C with subclinical Target Organ Damage (TOD) in normotensive and normoglycemic subjects without known cardiovascular and kidney diseases. Materials and Methods: 480 blood donors participated at the present analysis. TOD was evaluated as Pulse Wave Velocity (PWV), Left Ventricular Hypertrophy (LVH) and Intima Media Thickness (IMT) and carotid plaque presence) grouped together under carotid TOD. Results: 3.1% of the subjects showed a PWV higher than 10 m/sec with those subjects exerting significantly lower values of P-Selectine (0.068 ± 0.015 vs 0.08 ± 0.036 mg/L, p =.014). 8.8% of the subjects showed carotid TOD that was associated with higher Cystatin-C values (0.67 ± 0.17 vs 0.63 ± 0.14 mg/L, p =.045). Finally 23.8% of the subjects showed LVH with no significant differences regarding biomarkers. Despite some significant correlations between biomarkers and TOD, at the multivariate analysis none came out to be as significant predictor of the assessed TOD. Conclusions: in normotensive and normoglycemic healthy subjects, the evaluated biomarkers of atherosclerotic process didn’t show any significant association with cardiac, carotid and vascular TOD while age and BP are its principal predictors.

Objective. Evidence exists that arterial stiffness, i.e. an independent predictor of cardiovascular and all-causes mortality, has a genetic component. The 9p21 region is associated with a greater susceptibility to coronary disease. Whether this can be ascribed to the fact that genes located on chromosome 9p may also regulate arterial stiffness is largely unknown, however. We evaluate the influence of single nucleotide polymorphisms (SNPs) from 9p on carotid–femoral pulse wave velocity (C-F PWV), measured via the Complior method, in a cohort of 821 hypertensive subjects. Design. The selected tagSNPs were screened with a custom-designed 384-plex VeraCode GoldenGate Genotyping assay on Illumina BeadXpress Reader platform. Association analysis was done using PLINK considering C-F PWV as a quantitative trait (linear regression assuming an additive model) adjusting for sex, age, systolic blood pressure and body mass index (BMI). We used false discovery rate (FDR) to account for multiple testing. Results. Although none of the 384 SNPs was significant after adjusting for multiple testing, probably due to the small sample size of the study population, a trend of association with C-F PWV was observed for rs300622 and rs2381640. Conclusions. These data suggest that SNPs located on chromosome 9p may affect arterial stiffness. Further studies are needed to confirm our finding on a larger sample and define the physiopathological link of the present results