Abstract
Because micronutrients from plants may have beneficial cardiovascular effects, the hypothesis that an encapsulated juice powder concentrate might affect several measures of vascular health was tested in free living adults at low cardiovascular risk. Blood pressure, vascular compliance, lipid and antioxidant markers, and serial electron beam tomography (to calculate a coronary artery calcium score as a measure of atherosclerosis burden), were monitored in 51 pre-hypertensive and hypertensive subjects over 2 years. By the end of follow-up, systolic and diastolic blood pressure decreased significantly (−2.4 ± 1.0 mmHg, P < 0.05 and −2.2 ± 0.6 mmHg, P < 0.001), and large artery compliance improved significantly (1.9 ± 0.6 ml mmHg−1 × 100, P < 0.01). The progression of coronary artery calcium score was smaller than expected compared with a historical database (P < 0.001). Laboratory testing showed a significant decrease in homocysteine (P = 0.05), HDL cholesterol (P = 0.025) and Apo A (P = 0.004), as well as a significant increase in β-carotene, folate, Co-Q10 and α-tocopherol (all P < 0.001). The phytonutrient concentrate we utilized induced several favorable modifications of markers of vascular health in the subjects. This study supports the notion that plant nutrients are important components of a heart healthy diet.
Keywords: antioxidant – blood pressure – coronary artery calcium – fruit – hypertension – vegetable
Introduction
The protective effects of fruits and vegetables against coronary heart disease and myocardial infarction have been reported in numerous populations worldwide (1–5). In observational studies, antioxidant vitamins, associated with an increased dietary intake of fruits and vegetables, have been inversely associated with cardiovascular disease and all-cause mortality (6–8). Despite theoretical advantages, supportive laboratory and epidemiological evidence, randomized clinical trials of selected antioxidant vitamins (A, C, E) and selenium have produced conflicting results related to coronary heart disease and cardiovascular disease (9–15). Of interest, some cultures rely heavily on the effect of herbal medicines for control of hyperlipidemia, hypertension and other ailments (16). Currently, both the American Heart Association Science Advisory Council and the American College of Cardiology do not recommend the use of single antioxidant vitamin supplements for cardiovascular prevention; nonetheless, these organizations do recommend the consumption of a diet high in sources of antioxidants and other nutrients such as fruits, vegetables, whole grains and nuts to reduce the risk of cardiovascular disease (17,18).
This prospective pilot study was undertaken to evaluate the effect of a proprietary encapsulated juice powder concentrate, made primarily of multiple fruits, vegetables and berries on several surrogate markers of cardiovascular health and risk in asymptomatic adults. Assessed were: progression of coronary artery calcium score, a sensitive marker of atherosclerosis; systemic and diastolic blood pressure; arterial compliance; markers of antioxidant status and serum lipid levels in patients taking the phytonutrient preparation for 2 years.
Methods
Subjects
This 24-month prospective pilot study was approved by the local Institutional Review Board. Informed consent was obtained from 54 ambulatory patients (44 men) between the ages of 40 and 75 years asymptomatic for coronary heart disease. Subjects were recruited from the Hypertension Institute and the Saint Thomas Medical Group practices in Nashville, TN, USA. All subjects were asymptomatic for coronary heart disease (no clinical history of angina, myocardial infarction, coronary revascularization) and had a coronary artery calcium score at enrollment between 30 and 400. The lower coronary artery calcium score threshold was chosen based on published evidence demonstrating better reproducibility beyond this limit (19). A coronary artery calcium score >400 has been shown to be associated with a high risk of obstructive coronary artery disease and cardiac events and it was therefore decided a priori to exclude such high risk patients. Further inclusion criteria included baseline fasting LDL cholesterol <4.92 mmol l−1 and triglycerides <4.52 mmol l−1, and two or fewer risk factors for coronary heart disease. Exclusion criteria included symptomatic angina or known coronary heart disease, single vessel coronary artery stenosis over 50% or left main artery stenosis over 30%. Additional exclusion criteria were use of any lipid lowering therapy, concomitant use of any antioxidant, vitamin, nutritional or nutraceutical supplements and women of childbearing potential.
After enrollment, no changes were allowed in antihypertensive medications, other prescription drugs or aspirin during the study period. No dietary or activity instructions were given, rather participants were asked to maintain their habitual diet, exercise program, tobacco utilization, alcohol intake and other lifestyle behaviors. Subjects underwent follow-up visits at 4-month intervals.
Imaging, Vascular Compliance, Blood Pressure Measurements and Laboratory Testing
All patients underwent imaging with electron beam tomography 3 times: at baseline, 12 and 24 months (though these time points were not tightly monitored and some patients underwent the repeat scans at slightly different times but no more than a week or two from the planned time). All electron beam tomography scans were performed utilizing a C-150 scanner (Imatron/GE, San Francisco, CA, USA) according to a standardized protocol. In brief: 40 to 50 tomographic sections with a single slice thickness of 3 mm were obtained during a single breath holding period. Scanning was electrocardiographically triggered at 60–80% of the R–R interval on the surface electrocardiogram and imaging began at the level of the bronchial carina and extended to the level of the diaphragm. All areas of calcification with a minimal computed tomography attenuation of 130 Hounsfield Units seen within the borders of the coronary arteries were computed. A calcified plaque was considered present if at least three contiguous pixels with a density of 130 Hounsfield Units or greater were detected. All images were reviewed on a NetraMD workstation (ScImage, Los Altos,CA, USA).
Scans were considered of acceptable research quality only if the images were free from motion or metal artifacts. All scans were read blindly by one (BJO) experienced investigator for consistency. A coronary artery calcium score for each area of interest was calculated as originally described by Agatston et al. (20). This scoring method incorporates the density and volume of a calcified plaque, therefore a score increase may be due to either plaque enlargement or increased density or both. The reverse would be true for a score decrease. Total calcium scores were calculated as the sum of all individual coronary artery scores. The published median inter-scan coronary artery calcium score variability for the Agatston score is 8–10% (21). The total radiation dose absorbed by each patient from the three scans was of ∼1.5 mSievert (the maximum recommended yearly dose is 5 mSv for nonmedical personnel in the US).
The CV Profiler-HDI CR-2000 (Hypertension Diagnostics Incorporated, Eagan, Minnesota) was utilized for assessment of arterial wave forms and small vessel as well as large vessel arterial compliance. Compliance is measured as the change in vessel diameter and volume per each mmHg of pressure change (ml /mmHg−1 × 100). Arterial compliance was measured at baseline, 12 and 24 months.
Baseline history, physical exam, blood pressure, weight, and heart rate measurements were repeated every 4 months for 24 months. Blood pressure was recorded as the average of two manual measurements and three automated measurements, taken after the subject lay in a supine position for 15 min. Laboratory tests for β-carotene, α-tocopherol, folate, Co-Q10, vitamin C, glycated hemoglobin and a lipid profile were performed by a commercial diagnostic laboratory (Kronos Science Laboratories, Inc., Phoenix, AZ, USA). Blood samples were collected at baseline, 4 months and 24 months.
Nutritional Intervention
Subjects were instructed to take three capsules of the phytonutrient preparation twice daily with meals. Compliance with study protocol was determined by review of patient diaries and investigators’ pill count at each visit, and averaged 85% or better during the follow-up period. The phytonutrient preparation (Juice Plus+®, NSA, Inc., Memphis,TN, USA) is an encapsulated juice powder concentrate blend consisting primarily of fruits, vegetables and berries including: acerola cherry, apple, beet, bilberry, blackberry, black currant, blueberry, broccoli, cabbage, carrot, cranberry, Concord grape, elderberry, kale, orange, papaya, parsley, peach, pineapple, raspberry, red currant, spinach and tomato. Six capsules daily provided ∼7.5 mg β-carotene, 276 mg vitamin C, 71 mg vitamin E and 780 mcg folate and about 63 kJ. Other than minor gastrointestinal complaints early in the study, there were no reports of adverse effects attributed to the phytonutrient preparation over the 24 months of follow-up.
Statistical Analyses
Of the 54 subjects entering the investigation, three withdrew before the first follow-up visit. One woman withdrew due to the prescription of a medication excluded from the study and two men due to gastrointestinal distress possibly due to the phytonutrient preparation. The remaining 51 subjects contributed data. One man withdrew consent after the 4-month follow-up visit, one man withdrew consent after the 8-month follow-up visit, three subjects (one woman, two men) withdrew consent after the 12-month follow-up visit and one man withdrew from the study due to prescription of an excluded medication. These six subjects are included in the data until the time of their withdrawal. Hence, comparisons were made only between patients who had baseline assessments and remained in the study at each analysis point.
Annualized change and relative annualized change were calculated for each patient at 1- and 2-year intervals for blood pressure values, weight, arterial compliance values, coronary artery calcium score values (absolute scores and percentiles) and blood chemistries. Coronary artery calcium score percentiles were calculated as the proportion of patients with coronary calcium in predefined and non-overriding age groups from a database of 10 122 asymptomatic patients (22). The annualized rates of absolute change and relative change in coronary artery calcium score were compared to changes recorded in historical untreated controls of 29.7 and 34.7%, respectively, (23) using one-sample t-tests. In general, changes were annualized for primarily two reasons: patients did not return for follow-up visits at precise 12-month intervals, and annualization facilitates the comparison between changes at intervals of 12 and 24 months (Table 1). Annualization was also important when analyzing coronary artery calcium score values because comparative historical data were only available in annualized format.
Table 1.
Annualized changes at 12- and 24-month follow-up for coronary artery calcium scores, arterial compliance, and blood pressure, with values expressed as mean ± SEM (median, range)
Variable | Full cohort | |
---|---|---|
12-Month | 24-Month | |
Calcium scorea | 26 ± 6.3*** (18, 204)*** | 17 ± 3.2*** (14, 108)*** |
Relative calcium score | 26 ± 6.2*** (22, 213)*** | 20 ± 4.0*** (20, 167)*** |
Calcium score percentile | 1.3 ± 1.1 (2.8, 42)* | 1.1 ± 0.6 (1.7, 22)* |
Small artery compliance (ml mmHg−1 × 100) | 0.34 ± 0.43 (0.00, 17.1) | −0.14 ± 0.21 (−0.30, 6.5) |
Large artery compliance (ml mmHg−1 × 100) | 1.5 ± 1.3 (0.4, 47) | 1.9 ± 0.6** (1.5, 17)** |
Systolic blood pressure (mmHg) | −3.0 ± 2.0 (−1.4, 74) | −2.4 ± 1.0* (−1.5, 27)* |
Diastolic blood pressure (mmHg) | −3.0 ± 1.0** (−2.8, 27)** | −2.2 ± 0.61*** (−2.0, 16)** |
*P < 0.05; **P < 0.01; ***P < 0.001 (relative to baseline) by paired t-test (and Wilcoxon one-sample test).
aCalcium score comparisons with historical 29.7-point annual change: these are significant relative to annualized 24-month change for full cohort (P < 0.001), 24-month change for pre-hypertensives (P < 0.01) and 24-month change for hypertensives (P < 0.05); it is not significantly different from the 12-month change in the full cohort.
In each case, the paired t-statistic was used to construct confidence intervals and to test for significant annualized changes between baseline and follow-up among all patients first and pre-hypertensive and hypertensive patients later. The one-sample Wilcoxon test on medians was used to confirm significance in this case. Welch's t-test was used to compare all baseline values of pre-hypertensive and hypertensive patients, and significant results were confirmed using the Mann–Whitney rank sum test. Best-subsets regression was used to study how age, sex, hypertension, and baseline body weight, arterial compliance values and coronary calcium measures were related to the annualized changes over 2 years in systemic blood pressure, arterial compliance and coronary calcium measurements. The best models were chosen as those that minimized the Bayesian Information Criterion (BIC) subject to the constraint that the ratio of observations to parameters exceeded 5, but this ratio actually exceeded 10 for all selected models. The BIC has been shown to be a consistent criterion in very general theoretical settings and to provide models that perform well in empirical studies.
Results
Baseline Characteristics and Change in Coronary Artery Calcium Score
The baseline clinical characteristics of all patients enrolled in the study are shown in Table 2. Most of the study subjects were hypertensive (n = 38), although some were classified as pre-hypertensive (n = 13). The majority were men (80%) and the mean age was 61 ± 6.5 years. Table 1 shows the mean annualized changes (measured change divided by number of months of observation and multiplied by 12) at 12 and 24 months of follow-up for coronary artery calcium scores, arterial compliance and blood pressure. The annualized change in absolute coronary artery calcium score was 26 ± 6 points at 12 months (P < 0.001 from baseline) and 17 ± 3.2 points at 24 months (P < 0.001 from baseline). These values corresponded to a relative change of 26 ± 6 and 20 ± 4%, respectively from baseline (P < 0.001 in each case). In comparison, the annualized change in absolute and relative coronary artery calcium score in historical untreated controls were 29.7 and 34.7%, respectively (23) (P < 0.001 for each, one-sample t-tests).
Table 2.
Baseline clinical characteristics
Clinical characteristics | Full cohort | Pre-hypertensive subjects | Hypertensive subjects |
---|---|---|---|
Sample size | 51 | 13 | 38 |
Men (%) | 80 | 69 | 84 |
Hyperlipidemia (%) | 55 | 69 | 50 |
Diabetes mellitus (%) | 4 | 0 | 5 |
Smoking (%) | 6 | 0 | 8 |
Hypertension (%) | 75 | – | 100 |
Mean ± SD (median, range) | Mean ± SD (median, range) | Mean ± SD (median, range) | |
Age (years) | 61 ± 6.5 (61, 28) | 59 ± 6.6 (58, 26) | 62 ± 6.4 (62, 26) |
Systolic blood pressure (mmHg) | 134 ± 18 (129, 74) | 120 ± 14 (115, 44) | 139 ± 17*** (135, 60)*** |
Diastolic blood pressure (mmHg) | 82 ± 9.3 (82, 40) | 76 ± 7.5 (74, 25) | 85 ± 9.0** (84, 35)** |
Weight (kg) | 91 ± 15 (88, 73) | 86 ± 14.5 (88, 50) | 92 ± 16 (90, 60) |
Small artery compliance (ml mmHg−1 × 100) | 5.3 ± 2.7 (4.5, 10) | 6.6 ± 2.4 (6.6, 7.2) | 4.8 ± 2.7* (4.1, 10)* |
Large artery compliance (ml mmHg−1 × 100) | 15.0 ± 5.2 (14.7, 23.7) | 14.9 ± 6.2 (13.6, 22.7) | 15.0 ± 4.8 (14.9, 23.5) |
Calcium score | 99 ± 73 (76, 322) | 109 ± 74 (93, 255) | 95.3 ± 73 (75, 321) |
Calcium score percentile | 47 ± 19 (50, 74) | 58 ± 16 (61, 55) | 44 ± 19* (44, 67)* |
Total cholesterol (mmol l−1) | 5.33 ± 0.79 (5.33, 3.36) | 5.64 ± 0.86 (5.87, 2.64) | 5.22 ± 0.74 (5.18, 3.36) |
HDL cholesterol (mmol l−1) | 1.20 ± 0.39 (1.11, 1.84) | 1.21 ± 0.37 (1.11, 1.45) | 1.19 ± 0.40 (1.06, 1.84) |
LDL cholesterol (mmol l−1) | 3.45 ± 0.64 (3.57, 2.97) | 3.61 ± 0.75 (3.83, 2.59) | 3.40 ± 0.60 (3.54, 2.66) |
Triglycerides (mmol l−1) | 1.42 ± 0.68 (1.23, 3.04) | 1.67 ± 0.71 (1.40, 2.28) | 1.34 ± 0.66 (1.18, 3.04) |
Apo A (g l−1) | 1.41 ± 0.30 (1.32, 1.68) | 1.42 ± 0.25 (1.44, 0.97) | 1.41 ± 0.32 (1.32, 1.68) |
Apo B (g l−1) | 1.10 ± 0.17 (1.09, 0.70) | 1.14 ± 0.20 (1.13, 0.66) | 1.08 ± 0.15 (1.07, 0.69) |
Glycosylated hemoglobin, proportion of total hemoglobin | 0.055 ± 0.008 (0.056, 0.050) | 0.052 ± 0.006 (0.055, 0.019) | 0.057 ± 0.008 (0.057, 0.050) |
Homocysteine (μmol l−1) | 10.4 ± 2.3 (10.2, 10.7) | 10.5 ± 2.5 (9.8, 8.3) | 10.3 ± 2.2 (10.2, 10.0) |
Vitamin C (μmol l−1) | 675 ± 195 (650, 761) | 776 ± 216 (715, 647) | 640 ± 177 (619, 727) |
Co-Q10 (nmol l−1) | 1451 ± 530 (1415,3642) | 1415 ± 317 (1508, 940) | 1463 ± 588 (1404, 3515) |
Folate (nmol l−1) | 25 ± 8 (24, 35) | 26 ± 9 (24, 30) | 25 ± 8 (25,35) |
α-tocopherol (μmol l−1) | 315 ± 72 (308, 325) | 346 ± 86 (351, 301) | 304 ± 65 (303, 261) |
β-carotene (μmol l−1) | 4.2 ± 3.7 (2.9, 15.4) | 6.4 ± 5.2 (4.0, 14.9) | 3.4 ± 2.7 (2.8, 11.2) |
Values expressed as percentages, mean ± SD, and median and range where appropriate.
The P-values refer to comparisons between pre-hypertensive and hypertensive patients: *P < 0.05; **P < 0.01; ***P < 0.001 by Welch's t-test (and Mann–Whitney rank sum test).
Change in Arterial Blood Pressure and Compliance
Figure 1 shows the change over time in systolic blood pressure and Fig. 2 shows the change over time in diastolic blood pressure from baseline, at each of the six follow-up visits. Both measures decreased significantly in the full cohort at the end of 2 years of follow-up compared with baseline (systolic −2.4 ± 1.0 mmHg, P < 0.05 and diastolic −2.2 ± 0.6 mmHg, P < 0.001) in the absence of any modification in anti-hypertensive therapy. Large artery compliance improved significantly (1.9 ± 0.6 ml mmHg−1 × 100, P < 0.01), while small artery compliance showed a slight but non-significant decrease.
Figure 1.
Systolic blood pressure change over time, shown by full cohort and the hypertensive and pre-hypertensive subgroups, with each box plot showing the distribution of subject values for recorded systolic blood pressure measured at baseline and 4-month intervals for six follow-up visits. The means of each distribution are connected across periods.
Figure 2.
Diastolic blood pressure change over time, shown by full cohort and the hypertensive and pre-hypertensive subgroups, with each box plot showing the distribution of subject values for recorded diastolic blood pressure measured at baseline and 4-month intervals for six follow-up visits. The means of each distribution are connected across periods.
Changes in Serological Values
Table 3 shows that compared with baseline, at the end of 24 months of follow-up there was a significant decrease in homocysteine (P < 0.05), HDL cholesterol (P = 0.025) and Apo A (P = 0.004). Additionally, a significant increase was seen in β-carotene, folate, Co-Q10 and α-tocopherol (all P < 0.001). Finally, glycosylated hemoglobin showed a borderline significant decrease (P = 0.059), and LDL cholesterol a borderline significant increase (P = 0.062).
Table 3.
Baseline and annualized 24-month change in lipids and other blood values expressed as mean ± SD
Variable | Baseline | Annualized 24-month change | P-value (Wilcoxon P) |
---|---|---|---|
Total cholesterol (mmol l−1) | 5.33 ± 0.79 (5.33, 3.36) | 0.04 ± 0.32 (0.08, 1.5) | 0.368 (0.132) |
HDL cholesterol (mmol l−1) | 1.20 ± 0.39 (1.11, 1.84) | −0.03 ± 0.09 (−0.03, 0.43) | 0.025 (0.027) |
LDL cholesterol (mmol l−1) | 3.45 ± 0.64 (3.57, 2.97) | 0.09 ± 0.32 (0.10, 1.3) | 0.062 (0.027) |
Triglycerides (mmol l−1) | 1.42 ± 0.68 (1.23, 3.04) | −0.03 ± 0.32 (−0.01, 1.5) | 0.492 (0.438) |
Apo A (g l−1) | 1.41 ± 0.30 (1.32, 1.68) | −0.05 ± 0.11 (−0.04, 0.54) | 0.004 (0.002) |
Apo B (g l−1) | 1.10 ± 0.17 (1.09, 0.70) | −0.02 ± 0.08 (−0.03, 0.31) | 0.171 (0.093) |
Glycosylated hemoglobin, proportion of total hemoglobin | 0.055 ± 0.008 (0.056, 0.050) | −0.001 ± 0.005 (−0.002, 0.032) | 0.059 (0.043) |
Homocysteine (μmol l−1) | 10.4 ± 2.3 (10.2, 10.7) | −0.26 ± 0.77 (−0.10, 3.18) | 0.050 (0.110) |
Vitamin C (μmol l−1) | 675 ± 195 (650, 761) | 35 ± 140 (8.2, 810) | 0.097 (0.214) |
Co-Q10 (nmol l−1) | 1451 ± 530 (1415,3642) | 477 ± 358 (414, 1996) | <0.001 (<0.001) |
Folate (nmol l−1) | 25 ± 8 (24, 35) | 3.2 ± 3.4 (3.5, 19) | <0.001 (<0.001) |
Alpha-tocopherol (μmol l−1) | 315 ± 72 (308, 325) | 52 ± 43 (46, 237) | <0.001 (<0.001) |
Beta-carotene (μmol l−1) | 4.2 ± 3.7 (2.9, 15.4) | 1.4 ± 2.0 (1.2, 11) | <0.001 (<0.001) |
Regression Analyses
Table 4 summarizes the best models for all significant 2-year changes (Table 1) in systemic blood pressure, arterial compliance and coronary calcium measurements. The baseline values of these variables, along with age, sex, and baseline weight, were considered as candidate predictors. Hypertension is significant in models for both change and relative change in calcium score, and baseline systolic blood pressure is the pre-eminent predictor in both models for change in systemic blood pressure.
Table 4.
Best models for variables of Table 1 that changed significantly over 24 months in terms of baseline values (for all Table 1 variables, along with sex, weight, and hypertension)
Dependent (R-square) 24-month annualized change in: | Predictor from baseline | Coefficient (SE) | P-value | Univariate P-value |
---|---|---|---|---|
Calcium score (34%) | ||||
Constant | −11.9 (6.65) | 0.082 | ||
Hypertension | 16.7 (5.78) | 0.006 | 0.080 | |
Calcium score | 0.187 (0.0424) | 0.000 | 0.001 | |
Calcium relative change (9%) | ||||
No constanta | ||||
Hypertension | 0.253 (0.0456) | 0.000 | 0.028 | |
Large artery compliance (8%) | ||||
Constant | 5.378 (1.77) | 0.004 | ||
Large artery C | −0.242 (0.118) | 0.046 | 0.046 | |
Systolic blood pressure (53%) | ||||
Constant | 24.2 (5.35) | 0.000 | ||
Female | −7.51 (2.15) | 0.001 | 0.005 | |
Systolic | −0.192 (0.0399) | 0.000 | <0.001 | |
Diastolic blood pressure (51%) | ||||
Constant | 9.34 (4.50) | 0.047 | ||
Weight | 0.0284 (0.0133) | 0.042 | 0.059 | |
Systolic | −0.131 (0.0246) | 0.000 | <0.001 |
aWhen a constant is added to this model its coefficient is larger than its standard error. In each case, the direction of univariate association is the same as the sign of multivariate coefficient.
Discussion
Our main findings could be summarized as follows: the mean calcium score changes at the end of follow-up in this group were statistically smaller than the changes recorded in an historical population (29.7 and 34.7%, respectively, P < 0.001 in each case). In addition, these pilot study subjects also had reduced systemic blood pressure in the presence of stable anti-hypertensive therapy and improved vascular compliance of large arteries in the absence of change in body weight (data not shown). The above changes were concurrent with an improvement in markers of antioxidant status, homocysteine and glycosylated hemoglobin.
These data may provide a rationale for the observed reduced incidence of coronary heart disease in vegetarians, who demonstrate a 3–5 year overall longer survival compared to omnivores. The European Prospective Investigation into Cancer and Nutrition-Oxford study of 56 000 British men and women demonstrated a reduced risk for coronary heart disease in vegetarians (24). In several observational studies components of a plant-based diet, such as phytochemicals (25), fiber (26), nuts (27) and whole grain cereals (28), have been shown to reduce the risk for coronary heart disease. Furthermore, vegetarian diets, coupled with intense life style changes, have resulted in angiographic improvement of obstructive coronary artery disease (29). Multiple studies have suggested that an optimal intake of fruits, vegetables, whole grains and fiber may provide a variety of cardio-protective nutrients and non-nutrient factors with improvement in endothelial function, blood pressure, serum lipid levels, glucose, homocysteine, weight, body fat and reduction in oxidative stress and vascular inflammation (30–34). It has been suggested that a plausible explanation for such favorable effects may be a nutrient–gene interaction that contributes to a reduction in coronary heart disease.
Coronary artery calcification is an excellent marker of atherosclerosis and its presence is associated with a substantially increased risk of cardiac events (35–38). Some investigators have suggested modifying the calculated Framingham Risk Score with data derived from calcium screening, thereby increasing or decreasing the estimated risk of an event (39,40). Calcium screening could be particularly helpful in patients at intermediate risk of events (36) where the presence of calcium increases (and its absence decreases) the probability of an event. In this light, a middle-aged man with hypertension (as most of the patients in our study) may benefit from calcium screening for more accurate risk stratification. Recently, sequential coronary artery calcium scoring has been used to monitor the progression of atherosclerosis in adults treated with lipid-lowering agents (38), phosphate binding agents in renal failure (41) as well as nutritional supplements (42). Of note, progression of coronary artery calcium score has been shown to be associated with a significant increase in risk of cardiovascular events (23,38). Hence, slowing of coronary artery calcium score progression appears to be a worthy goal of therapy. Importantly, the best predictor of coronary artery calcium score progression in this study was hypertension, suggesting the very significant role played by this risk factor in progression of atherosclerosis.
Abnormal arterial compliance, an accurate marker of vascular stiffness, has been shown to be associated with aging, multiple cardiovascular risk factors and with an adverse cardiovascular outcome (43). Improvement in arterial compliance in this pilot study is further evidence of the potentially favorable effects of fruits and vegetables on the overall vascular health of an individual.
While the importance of antioxidants in the reduction of cardiovascular disease remains controversial, the parallel reduction of oxidative stress and other markers of vascular damage are reassuring. In this light, it is intriguing that a powder concentrate containing numerous phytonutrients, as opposed to tablets of single vitamins, was sufficient to attain the favorable surrogate results demonstrated.
We have no biologically plausible explanation for Juice Plus+ alone (in the absence of a change in weight as discussed earlier) to have any impact on cholesterol lipoprotein concentrations. Juice Plus+ has been shown to impact LDL cholesterol oxidation, but not total amount of LDL cholesterol and no effect on HDL has ever been demonstrated. Even though a diet high in fruits, vegetables and whole grains is beneficial regarding lipoprotein concentrations, this effect is largely attributed to the fiber components of these foods. When cholesterol was monitored more closely, as in the study by Plotnick et al. (44), no consistent effect was noted. In observational studies a reduction, and not an increase, in LDL cholesterol has been associated with lack of progression of coronary artery calcium (45), while there has been no study so far of the effect of HDL level modification on coronary calcium. Hence, one would have expected a negative effect on calcium progression from the observed changes in cholesterol lipoprotein but this did not occur. To further investigate this issue, we searched the human medical literature for evidence that β-carotene or vitamin E may impact lipid concentrations, but found no evidence for such an effect.
Limitations of this pilot study included the small sample size and lack of a placebo group. The comparison of change in coronary artery calcium score compared to the historical database is not optimal because of temporal differences of when that data were collected, along with other potential differences between this study population and the contributors to the database information. In addition, although some investigators have raised concerns about the reliability of the CR-2000 used to assess arterial compliance (42), others have disputed this opinion and finding the CR-2000 highly reproducible (46).
In summary, this pilot study showed a favorable effect of an encapsulated juice powder concentrate, made primarily of multiple fruits, vegetables and berries, on several surrogate markers of cardiovascular disease. Additional placebo-controlled prospective studies will be required to confirm these findings.
Acknowledgements
This work was supported in part by the Dean's Fund for Faculty Research, Owen Graduate School of Management, Vanderbilt University, Nashville, TN and by a grant from NSA, Inc., Memphis, TN,USA.
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