| Literature DB >> 28218703 |
Xianming Su1, Jian Zhang2, Hongqing Wang3, Jing Xu4, Jiuming He5, Liying Liu6, Ting Zhang7, Ruoyun Chen8, Jie Kang9.
Abstract
To investigate the anti-atherosclerosis related mechanism of blueberries, theEntities:
Keywords: Chinese blueberry; anti-inflammatory activity; antioxidant activity; half-highbush (Vaccinium corymbosum/Vaccinium anugustifolium); highbush (Vaccinium corymbosum); miRNA
Mesh:
Substances:
Year: 2017 PMID: 28218703 PMCID: PMC6155836 DOI: 10.3390/molecules22020312
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Species, cultivars, companies, collection origins, and collection time for the 16 blueberry samples.
| No. | Species | Cultivars | Companies | Collection Origins | Collection Time |
|---|---|---|---|---|---|
| 1 | North high | Reka | Jiawo | Dandong, Liaoning Province | April 2015 |
| 2 | North high | Patriot | Jiawo | Dandong, Liaoning Province | April 2015 |
| 3 | North high | Brigitta | Jiawo | Dandong, Liaoning Province | April 2015 |
| 4 | North high | Bluecrop | Jiawo | Dandong, Liaoning Province | April 2015 |
| 5 | North high | Bluecrop | Pulan | Lijiang, Yunnan Province | June 2015 |
| 6 | North high | Berkeley | Jiawo | Dandong, Liaoning Province | April 2015 |
| 7 | North high | Duke | Pulan | Lijiang, Yunnan Province | June 2015 |
| 8 | North high | Darrow | Pulan | Lijiang, Yunnan Province | June 2015 |
| 9 | Half-high | Northland | Jiawo | Dandong, Liaoning Province | April 2015 |
| 10 | Half-high | Northland | Pulan | Lijiang, Yunnan Province | June 2015 |
| 11 | Half-high | Northblue | Jiawo | Dandong, Liaoning Province | April 2015 |
| 12 | Half-high | Northcountry | Jiawo | Dandong, Liaoning Province | April 2015 |
| 13 | South high | Bluesource | Jiawo | Dandong, Liaoning Province | April 2015 |
| 14 | South high | Southgood | Jiawo | Dandong, Liaoning Province | April 2015 |
| 15 | South high | O’Neal | Pulan | Lijiang, Yunnan Province | June 2015 |
| 16 | South high | Misty | Pulan | Lijiang, Yunnan Province | June 2015 |
Figure 1Chromatograms and structures of phenolic acids (PAs) quantified in blueberry polyphenol fractions with high-performance liquid chromatography coupled with electrospray ionization tandem mass spectrometry (HPLC/MS2). Please provide a clearer picture of all the Figures.
Percentage (%) of each phenolic acid in the 16 blueberry polyphenol fractions.
| No. | Phenolic Acids % | ||||||
|---|---|---|---|---|---|---|---|
| GA | 3,4-DHBA | VA | CGA | CA | SGA | FA | |
| 1 | - | - | 1.19 | 98.36 | - | 0.34 | 0.12 |
| 2 | - | - | 0.68 | 98.98 | - | 0.28 | 0.06 |
| 3 | - | - | 2.07 | 97.24 | - | 0.25 | 0.44 |
| 4 | - | - | 2.46 | 96.63 | - | 0.61 | 0.29 |
| 5 | 0.06 | 0.18 | 3.00 | 95.67 | 0.68 | 0.28 | 0.14 |
| 6 | - | - | 5.64 | 93.51 | - | 0.72 | 0.13 |
| 7 | - | 0.50 | 2.60 | 95.38 | 0.25 | 1.27 | - |
| 8 | 0.27 | 0.51 | 2.21 | 95.50 | 0.92 | 0.33 | 0.27 |
| 9 | 0.09 | - | 1.21 | 98.20 | 0.22 | 0.20 | 0.09 |
| 10 | 0.63 | 0.67 | 5.14 | 90.93 | 1.52 | 0.42 | 0.69 |
| 11 | - | 0.04 | 2.35 | 97.22 | - | 0.34 | 0.04 |
| 12 | 0.34 | 0.43 | 1.76 | 90.45 | 6.40 | 0.37 | 0.25 |
| 13 | 0.03 | 0.13 | 0.02 | 99.23 | 0.16 | 0.33 | 0.11 |
| 14 | - | - | 1.71 | 97.59 | 0.24 | 0.38 | 0.08 |
| 15 | 1.61 | 1.76 | 8.34 | 84.39 | 2.26 | 0.84 | 0.81 |
| 16 | 0.41 | 0.61 | 2.43 | 94.48 | 1.18 | 0.52 | 0.37 |
Figure 2Total PA contents of the 16 blueberry polyphenol fractions. (The results have been expressed in terms of mg/100 g fresh blueberry equivalent, means ± SD, n = 3; columns with the different letters are significantly different, p < 0.05, n = 3).
Figure 3Effects of 1,1-diphenyl-2-picrylhydrazyl (DPPH) inhibition in the 16 blueberry polyphenol fractions. (The results have been expressed in terms of µmol Trolox/100 g fresh blueberry equivalent, means ± SD, n = 3; columns with the different letters are significantly different, p < 0.05, n = 3).
Figure 4Pearson’s correlation between PAs content and antioxidant capacity (DPPH) of the 16 blueberry polyphenol fractions (Pearson’s correlation coefficient (r) = 0.926, significance at p = 0).
Figure 5IC50 values of the 16 blueberry polyphenol fractions for TNF-α (a) and IL-6 (b) inhibition. (The results have been expressed in terms of IC50 (mg/100 g fresh blueberry equivalent, means ± SD, n = 3; columns with the different letters are significantly different, p < 0.05, n = 3).
Figure 6Pearson’s correlation between PAs contents and IC50 values of the 16 blueberry polyphenol fractions against inflammation, TNF-α (a) and IL-6 (b) (Pearson’s correlation coefficients (r) were −0.953 (a) and −0.916 (b), respectively, significance for both at p = 0).
Inhibitory effects (%) of the polyphenol fraction of blueberries against miR-21, miR-125b, and miR-146a.
| No. | microRNA (miRNA) | ||
|---|---|---|---|
| miR-21 | miR-125b | miR-146a | |
| 1 | 49 | 34 | 12 |
| 2 | 50 | 26 | 13 |
| 3 | 52 | 18 | 14 |
| 4 | 50 | 30 | 13 |
| 5 | 53 | 27 | 16 |
| 6 | 43 | 28 | 15 |
| 7 | 53 | 31 | 15 |
| 8 | 48 | 32 | 12 |
| 9 | 52 | 28 | 15 |
| 10 | 60 | 37 | 22 |
| 11 | 61 | 41 | 23 |
| 12 | 55 | 33 | 21 |
| 13 | 41 | 38 | 6 |
| 14 | 46 | 34 | 7 |
| 15 | 44 | 23 | 8 |
| 16 | 50 | 36 | 13 |
Pearson’s correlation coefficients (r) between PAs contents and inhibition rates of miR-21, miR-125b, and miR-146a of the 16 blueberry samples.
| PAs | miRNA | ||
|---|---|---|---|
| miR-21 | miR-125b | miR-146a | |
| PAs content | 0.405 | 0.271 | 0.281 |
No significance (p > 0.05).
Quantitative parameters for the standards (1–7) and internal standard (8).
| No. | Name | M.W. | Pairs | tR(min) | Equation a | Linear Range (ng/mL) | RSD b (%) | LOD c (ng/mL) | LOQ d (ng/mL) |
|---|---|---|---|---|---|---|---|---|---|
| 1 | GA | 170 | 169/125 | 1.33 | y = 0.0044x − 123.297 | 50–6000 | 1.6 | 10 | 3 |
| 2 | 3,4-DHBA | 154 | 153/109 | 2.59 | y = 0.0025x − 171.664 | 50–6000 | 1.5 | 9 | 3 |
| 3 | VA | 168 | 167/152 | 6.46 | y = 0.2240x − 63.617 | 500–6000 | 1.4 | 400 | 100 |
| 4 | CGA | 354 | 353/191 | 6.87 | y = 0.0080x − 100.648 | 50–6000 | 1.3 | 30 | 10 |
| 5 | CA | 180 | 179/135 | 6.99 | y = 0.0018x − 211.284 | 50–6000 | 0.7 | 20 | 6 |
| 6 | SGA | 198 | 197/182 | 8.05 | y = 0.1513x − 27.866 | 100–6000 | 0.7 | 60 | 25 |
| 7 | FA | 194 | 193/178 | 11.05 | y = 0.0856x − 19.518 | 200–6000 | 1.8 | 200 | 60 |
| 8 | benzoic acid- | 126 | 126/82 | 11.33 | 1.8 | ||||
a y = concentration (ng/mL); x = peak area. b relative standard deviation (RSD). c limit of detection (LOD). d limit of quantity (LOQ).