| Literature DB >> 25851421 |
Charlotte N Armah1, Christos Derdemezis, Maria H Traka, Jack R Dainty, Joanne F Doleman, Shikha Saha, Wing Leung, John F Potter, Julie A Lovegrove, Richard F Mithen.
Abstract
SCOPE: Cruciferous-rich diets have been associated with reduction in plasma LDL-cholesterol (LDL-C), which may be due to the action of isothiocyanates derived from glucosinolates that accumulate in these vegetables. This study tests the hypothesis that a diet rich in high glucoraphanin (HG) broccoli will reduce plasma LDL-C. METHODS ANDEntities:
Keywords: Broccoli; Cholesterol; Glucoraphanin; Sulforaphane
Mesh:
Substances:
Year: 2015 PMID: 25851421 PMCID: PMC4692095 DOI: 10.1002/mnfr.201400863
Source DB: PubMed Journal: Mol Nutr Food Res ISSN: 1613-4125 Impact factor: 5.914
Figure 1Change in LDL-C following dietary intervention with standard broccoli [-] or high glucoraphanin broccoli [+]. Each panel shows the mean and 95% CI for the change in LDL-C as evident from paired t-tests between the baseline and post intervention LDL-C for each individual within the two dietary arms, and an ANOVA for the difference based upon a general linear model [Table 3]. (A) Study 1 (B) Study 2. (C) Combined data from Study 1 and Study 2.
ANOVA—General linear model for the variation in LDL-C
| Source | DF | Seq SS | Adj SS | Adj MS | F | |
|---|---|---|---|---|---|---|
| Broccoli glucoraphanin phenotype | 1 | 566.0 | 527.3 | 527.3 | 4.78 | 0.031 |
| Study | 1 | 25.8 | 16.4 | 16.4 | 0.15 | 0.701 |
| Recruitment centre | 1 | 6.4 | 12.7 | 12.7 | 0.12 | 0.735 |
| Sex | 1 | 124.7 | 60.1 | 60.1 | 0.55 | 0.462 |
| APOE genotype | 5 | 219.8 | 168.2 | 33.6 | 0.30 | 0.909 |
| PAPOLG genotype | 2 | 117.4 | 123.0 | 61.5 | 0.56 | 0.574 |
| GSTM1 genotype | 1 | 22.4 | 22.4 | 22.4 | 0.20 | 0.653 |
| Error | 107 | 11802.4 | 11802.4 | 110.3 | ||
| Total | 119 | 12884.9 |
HG, high glucoraphainin broccoli is heterozygous for Myb28villosa allele and a Myb28broccoli allele. Standard glucoraphanin broccoli is homozygous for Myb28broccoli alleles.
Baseline characteristics of volunteers for Study 2
| High glucoraphanin broccoli | Standard broccoli | |||
|---|---|---|---|---|
| Male ( | Female ( | Male ( | Female ( | |
| Age (y) | 60.2 ± 6.38 | 63.0 ± 5.72 | 59.8 ± 5.49 | 63.5 ± 7.09 |
| BMI (kg/m2) | 26.7 ± 3.43 | 26.0 ± 4.70 | 27.5 ± 3.67 | 26.3 ± 4.20 |
| Systolic BP (mmHg) | 128.1 ± 14.80 | 128.4 ± 12.9 | 126.3 ± 11.24 | 134.1 ± 10.84 |
| Diastolic BP (mmHg) | 83.1 ± 9.87 | 76.9 ± 10.20 | 81.6 ± 7.51 | 78.9 ± 6.10 |
| Weight (kg) | 83.4 ± 13.06 | 68.9 ± 10.14 | 86.5 ± 12.35 | 68.0± 12.25 |
| Waist circumference (cm) | 98.7 ± 11.20 | 87.6 ± 11.73 | 100.5 ± 8.66 | 87.2 ± 11.50 |
| Hip circumference (cm) | 105.5 ± 6.25 | 107.0± 8.66 | 106.8 ± 6.95 | 105.3 ± 10.17 |
| Total cholesterol (mmol/L) | 5.9 ± 0.86 | 6.7 ± 0.71 | 5.8 ± 0.96 | 6.7 ± 0.90 |
| LDL cholesterol (mmol/L) | 4.2 ± 0.71 | 4.6 ± 0.77 | 4.1 ± 0.79 | 4.7 ± 0.80 |
| HDL cholesterol (mmol/L) | 1.4 ± 0.28 | 1.8 ± 0.32 | 1.4 ± 0.31 | 1.7 ± 0.29 |
| Triglycerides (mmol/L) | 1.6 ± 0.69 | 1.1 ± 0.32 | 1.5±0.57 | 1.2 ± 0.30 |
| Glucose (mmol/L) | 5.7 ± 0.47 | 5.7 ± 0.46 | 5.7 ± 0.43 | 5.7 ± 0.48 |
| JBS2 CVD risk score (%) | 17.5 ± 5.85 | 14.4 ± 4.89 | 17.1 ± 5.54 | 12.5 ± 2.52 |
All values are mean ± SD.
APOE genotype frequency and baseline plasma cholesterol and triacylglycerol levels
| Frequency (%) | Total C | LDL-C | HDL-C | Triacylglycerol | |
|---|---|---|---|---|---|
| E2/E3 | 11 | 5.1 ± 1.04 | 3.5 ± 0.87 | 1.3 ± 0.25 | 1.5 ± 0.63 |
| E2/E4 | 2 | 5.3 ± 0.86 | 3.5 ± 0.21 | 1.5 ± 0.66 | 1.4 ± 0.43 |
| E3/E3 | 55 | 6.2 ± 0.86 | 4.3 ± 0.75 | 1.6 ± 0.31 | 1.2 ± 0.43 |
| E3/E4 | 28 | 6.2 ± 0.97 | 4.3 ± 0.75 | 1.6 ± 0.41 | 1.4 ± 0.64 |
| E4/E4 | 4 | 7.0 ± 0.91 | 5.0 ± 0.87 | 1.7 ± 0.22 | 1.3 ± 0.65 |
All values are means ± SD.
E4/E4 genotypes have significantly greater Total-C and LDL-C than E2/E3 genotypes [p = 0.001, ANOVA].
Figure 2The mean and 95% CI for the change in LDL-C from paired t-tests between the baseline and postintervention LDL-C for each individual within the two dietary arms within subgroups with different baseline LDL-C. The data combines that of the current study with that of Armah et al. [2014].