BackgroundSmall dense low density lipoprotein-cholesterol (sdLDL-C), cholesterol ratios and carotid-femoral pulse wave velocity (cf-PWV) impart risk for all-cause morbidity and mortality independently of conventional cardiovascular disease (CVD) risk factors. This study was designed to identify feasible indicators for predicting arterial stiffness progression.MethodsWe followed up 816 normotensive participants without diabetes or CVD for nearly 5.0 years. Cholesterol parameters, ratios and other clinical and laboratory data were collected at baseline. cf-PWV were measured at baseline and the end of follow-up.ResultsPWV progression subjects had higher levels of PWV parameters, sdLDL-C and TG/HDL-C ratio. sdLDL-C and TG/HDL-C were significantly correlated with all PWV parameters. Multiple regression models showed that sdLDL-C was closely associated with follow-up PWV (β = 0.222, p < 0.001) and △PWV (β = 0.275, p < 0.001). TG/HDL-C was only one cholesterol ratios that associated with all PWV parameters. sdLDL-C (OR = 2.070, 95%CI: 1.162 to 3.688, p = 0.014) and TG/HDL-C (OR = 1.355, 95%CI: 1.136 to 1.617, p = 0.001) could significantly determine the progression of PWV after correction for covariates. High sd-LDL-C quantiles subjects were more likely to develop arterial stiffness progression than low quantiles (Tertiles 3 vs Tertiles1, RR = 2.867, 95%CI: 1.106 to 7.434, p = 0.03).ConclusionWe founded that sdLDL-C and TG/HDL-C ratio can independently predict arterial stiffness progression in normotensive subjects, and high level sdLDL-C and TG/HDL-C ratio were associated with a higher risk of arterial stiffness.
Arterial stiffness is an independent indicator of cardiovascular risk. Autoantibodies (AAs) against angiotensin AT receptor (AT-AAs) and α-adrenergic receptor (α-AAs) are important in the pathogenesis of hypertension. We identified the types of AT-AAs and α-AAs in normotensive subjects, with the aim of determining whether these antibodies predict aortic stiffness progression. Carotid-femoral pulse wave velocity (cf-PWV) was used to measure aortic stiffness. Overall, 816 subjects (71% of those invited) underwent a medical examination and evaluation of aortic stiffness. The types of AT-AAs and α-AAs were measured at baseline. Meanwhile, plasma renin, angiotensin II (Ang II), and norepinephrine (NE) concentrations were measured at baseline and follow-up. Baseline mean cf-PWV was 9.90 ± 0.84 m/s and follow-up was 10.51 ± 1.12 m/s. The annualized ΔPWV was 0.12 ± 0.08 m/s/year. At the end of follow-up, 129 normotensive subjects developed hypertension and 144 subjects had PWV progression. After adjustment for covariates, AA type was independently associated with ΔPWV, annualized ΔPWV, and abnormal PWV. In our study, the risk of developing hypertension (RR =2.028, 95% CI: 1.227-3.351, =0.006) and PWV progression (RR =2.910, 95% CI: 1.612-5.253,<0.001) in AA-positive subjects was significantly higher than that in AA-negative subjects. Receiver operating characteristic (ROC) curve showed AA had an identify power to discriminate subjects with or without PWV and hypertension progression. We have shown for the first time that the types of A-AAs and α-AAs are independent predictors for aortic stiffness progression in normotensive subjects. Our data collectively support the utility of these AAs as potential markers of aortic stiffness.
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