| Literature DB >> 33976708 |
Massimo Puato1, Alberto Zambon2, Chiara Nardin2,3, Elisabetta Faggin2, Raffaele Pesavento2, Alice Spinazzè2, Paolo Pauletto4, Marcello Rattazzi2,3.
Abstract
BACKGROUND AND AIMS: A relevant role is emerging for functional foods in cardiovascular prevention. The aim of this study was to assess the effect of a nutraceutical multitargeted approach on lipid profile and inflammatory markers along with vascular remodelling in a cohort of dyslipidemic subjects without history of cardiovascular (CV) disease. METHODS ANDEntities:
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Year: 2021 PMID: 33976708 PMCID: PMC8087481 DOI: 10.1155/2021/5546800
Source DB: PubMed Journal: Cardiovasc Ther ISSN: 1755-5914 Impact factor: 3.023
Anthropometric and biochemical data at baseline and follow-up.
| Baseline | 12 months |
| |
|---|---|---|---|
| Age (years) | 48.2 ± 11.9 | — | — |
| BMI (kg/m2) | 28.0 ± 5.0 | 27.3 ± 4.7 | NS (0.090) |
| Waist circumference (cm) | 93.1 ± 10.9 | 92.7 ± 11.1 | NS (0.149) |
| Systolic blood pressure (mmHg) | 130 ± 11 | 128 ± 11 | NS (0.307) |
| Diastolic blood pressure (mmHg) | 80 ± 9 | 80 ± 8 | NS (0.978) |
| Heart rate (bpm) | 73 ± 6 | 71 ± 7 | NS (0.141) |
| Total cholesterol (mg/dl) | 227.3 ± 35.9 | 201.4 ± 29.6 | <0.001 |
| LDL-c (mg/dl) | 150.4 ± 30.4 | 130.3 ± 28.2 | 0.001 |
| HDL-c (mg/dl) | 59.6 ± 15.8 | 60.4 ± 15.9 | NS (0.624) |
| Non-HDL-c (mg/dl) | 167.8 ± 33.3 | 141.0 ± 29.6 | <0.001 |
| Triglycerides (mg/dl) | 120.8 ± 55.5 | 109.1 ± 51.8 | 0.013 |
| Lp(a) (mg/dl) | 66.5 ± 90.5 | 63.9 ± 91.2 | NS (0.406) |
| Glucose (mg/dl) | 77.1 ± 25.8 | 83.0 ± 15.5 | NS (0.165) |
| Creatinine ( | 73.5 ± 9.2 | 75.7 ± 12.8 | NS (0.167) |
| AST (U/l) | 21.5 ± 6.9 | 21.8 ± 6.4 | NS (0.777) |
| ALT (U/l) | 18.1 ± 8.7 | 17.4 ± 10.2 | NS (0.566) |
| CPK (U/l) | 114.8 ± 68.3 | 126.0 ± 88.3 | NS (0.180) |
| hs-CRP (mg/l) | 1.74 ± 1.51 | 1.20 ± 1.11 | 0.015 |
| Osteoprotegerin (pg/ml) | 1488 ± 1241 | 1328 ± 1098 | 0.045 |
Data are means ± SD. BMI: body mass index; LDL-c: low-density lipoprotein cholesterol; HDL-c: high-density lipoprotein cholesterol; Lp(a): lipoprotein (a); AST: aspartate aminotransferase; ALT: alanine aminotransferase; CPK: creatin phosphokinase; NS: not significant.
Figure 1Effect of treatment on LDL density and distribution of lipoprotein classes. Density gradient ultracentrifugation (DGUC) (a) and relative flotation rate (Rf) (b) were performed at baseline and after 12 months of treatment to determine changes in lipoprotein class distribution and LDL peak buoyancy, respectively. We found no significant modification in LDL density (b), whereas DGUC analysis showed a significant decrease in the LDL-c subfractions together with a trend of reduction in TG-rich lipoproteins (a) (VLDL: very low-density lipoproteins; IDL: intermediate-density lipoproteins; LDL: low-density lipoproteins; HDL: high-density lipoproteins; Non-HDL-c: non-HDL cholesterol; FU: follow-up).
Figure 2Ultrasound parameters at baseline and follow-up. Carotid ultrasound examinations were performed at enrollment and after 12 months. At the end of the treatment, we observed a small but significant reduction in both mean-IMT and M-MAX, and improvement in carotid elasticity (m-IMT: cumulative mean of mean IMT recorded in each carotid artery segment on both sides; M-MAX: cumulative mean of maximum IMT recorded in each carotid artery segment on both sides; DC: distensibility coefficient; CC: compliance coefficient).