| Literature DB >> 24131482 |
Juan Hu1, Wensheng Pang, Jinlong Chen, Shaowei Bai, Zhenzhu Zheng, Xiaohua Wu.
Abstract
BACKGROUND: The aims of this study were to evaluate the antidiabetic activity and to detect molecular size of Pseudostellaria heterophylla polysaccharide (PHP). Pseudostellaria heterophylla is a medicine extensively used in traditional Chinese medicine formulas to treat diabetes and its complications.Entities:
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Year: 2013 PMID: 24131482 PMCID: PMC3853478 DOI: 10.1186/1472-6882-13-267
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Some information of PHPs used in this work
| PH-TP | 0.25 | 44.40 | 7.0 × 103 ~ 2.1 × 105 |
| PF40 | 0.19 | 47.28 | 5.2 × 104 ~ 2.1 × 105 |
| PF60 | 0.21 | 41.08 | 1.0 × 104 ~ 2.1 × 105 |
| PF90 | 0.17 | 45.89 | 3.0 × 103 ~ 6.8 × 103 |
Figure 1The chromatogram of 4 kinds of monosaccharides (blue-reference substance and black-PHF40 sample); the peaks from left to right were PMP, galacturonic acid, glucose, galactose and arabinos in the order of retention time.
Blood glucose level of type 1 diabetic mice and type 2 diabetic rats of treating with polysaccharides
| Normal control | | 7.7 ± 1.2 | 6.7 ± 1.6 | 5.4 ± 2.3 | | 5.7 ± 2.1 | 5.60 ± 0.28** | 3.91 ± 1.38** | |
| Model control | | 52.1 ± 7.6 | 51.3 ± 10.4 | 42.6 ± 2.8 | | 23.9 ± 6.6 | 19.77 ± 3.69 | 25.10 ± 0.61 | |
| Positive control | | 62.5 ± 9.8 | 24.4 ± 4.9 | 10.4 ± 6.0** | ↓75.58% | 23.5 ± 4.8 | 14.04 ± 2.55** | 6.72 ± 1.57** | ↓73.22% |
| PH-TP | H | 54.6 ± 3.1 | 52.2 ± 1.6 | 37.9 ± 5.5* | ↓11.03% | 25.0 ± 2.4 | 18.69 ± 4.22c | 14.84 ± 2.41** | ↓40.87% |
| | M | 56.0 ± 2.4 | 51.8 ± 6.8 | 48.8 ± 7.1C | ↑14.55% | 24.2 ± 2.5 | 16.73 ± 2.95c | 16.67 ± 2.41** | ↓33.59% |
| | L | 56.8 ± 2.8 | 50.1 ± 5.2 | 40.1 ± 5.3C | ↓5.87% | 23.4 ± 5.8 | 16.68 ± 2.69c | 12.95 ± 0.92** | ↓48.41% |
| PF40 | H | 52.9 ± 5.5 | 50.8 ± 4.3 | 37.5 ± 8.7* | ↓11.97% | 24.0 ± 5.7 | 15.78 ± 5.05* | 6.78 ± 5.47** | ↓72.99% |
| | M | 51.2 ± 4.1 | 49.4 ± 3.5 | 34.2 ± 8.0* | ↓19.72% | 25.2 ± 3.1 | 15.82 ± 3.67* | 11.41 ± 2.89** | ↓54.54% |
| | L | 50.2 ± 6.3 | 47.6 ± 7.1 | 40.4 ± 7.3C | ↓5.16% | 23.3 ± 6.9 | 15.25 ± 1.95* | 12.80 ± 1.15** | ↓49.00% |
| PF60 | H | 52.8 ± 6.6 | 49.9 ± 2.7 | 37.4 ± 11.3* | ↓12.21% | 24.0 ± 4.4 | 19.82 ± 6.98c | 13.73 ± 5.24** | ↓45.30% |
| | M | 54.9 ± 6.5 | 47.2 ± 4.1 | 40.1 ± 4.1C | ↓5.87% | 23.7 ± 5.1 | 16.05 ± 2.85* | 14.98 ± 6.05** | ↓40.32% |
| | L | 51.7 ± 1.1 | 45.3 ± 5.9 | 41.5 ± 3.6C | ↓2.58% | 24.7 ± 1.1 | 12.99 ± 3.66* | 12.82 ± 4.97** | ↓48.92% |
| PF90 | H | 50.7 ± 1.3 | 50.5 ± 4.8 | 40.2 ± 14.3C | ↓5.63% | 23.9 ± 1.3 | 16.31 ± 2.24* | 14.77 ± 3.73** | ↓41.16% |
| | M | 56.3 ± 2.0 | 52.4 ± 5.7 | 39.5 ± 5.0 C | ↓7.27% | 25.3 ± 2.0 | 15.13 ± 2.53* | 14.83 ± 2.29** | ↓40.92% |
| L | 52.2 ± 0.99 | 47.6 ± 7.5 | 39.8 ± 5.2C | ↓6.57% | 22.2 ± 0.99 | 16.74 ± 2.33c | 17.08 ± 3.56** | ↓31.95% | |
Values are expressed as mean ± S.d., n = 10.
Significantly different from the model group at* P ≤ 0.05, ** P ≤ 0.01.
Cversus model is NOT different.
The sign “↓” expresses fall and “↑” expresses rise.
The detection results of insulin and lipid profiles in serum
| Model control | | 18.83 ± 3.66 | 1.97 ± 0.31 | 2.22 ± 0.72 | 1.29 ± 0.22 | 0.48 ± 0.06 |
| Positive control | | 9.36 ± 2.43** | 1.84 ± 0.32 C | 1.52 ± 0.27**↓ | 1.14 ± 0.29 C | 0.44 ± 0.05C |
| PF40 | H | 10.27 ± 2.70** | 2.19 ± 0.19 C | 1.59 ± 0.23**↓ | 1.45 ± 0.15**↑ | 0.43 ± 0.05C |
| M | 18.04 ± 3.91c | 2.17 ± 0.38 C | 1.98 ± 0.44**↓ | 1.40 ± 0.27**↑ | 0.42 ± 0.07C | |
| L | 18.55 ± 2.37c | 2.38 ± 0.11 C | 2.03 ± 0.43*↓ | 1.51 ± 0.07**↑ | 0.48 ± 0.03C |
Values are expressed as mean ± S.d, n = 10.
Significantly different from the model group at* P ≤ 0.05, ** P ≤ 0.01.
Cversus model is NOT different.
The sign “↓” expresses fall and “↑” expresses rise.
Figure 2The results of OGTT and ITT. A. The result of Oral glucose tolerance test. B. The result of injecting insulin tolerance test.
Figure 3The testing results of biomarkers of rats serum with multiplexing sandwich-ELISA method. A. Serum was filled in 96-well plate collected CCD images of biomarkers from a ProArray Analysis System. Respective capture-antibodies are spotted in arrays within each well. 8 spots are for standard curve, each standard sample test in triplicates (left area). 6 group rat’s serum samples displayed the concentration profiles by quantitative chemiluminescence (right area). Samples test in duplicates, control test in duplicates for two different concentrations. B. The analysis results of 3 biomarkers Acrp30, IL-1β, and IL-10 in serum of T2DM rats after Pseudostellaria heterophylla polysaccharide (PF-40) treatment. C. The analysis results of 3 biomarkers CRP, TNF-α and leptin in serum of T2DM rats after Pseudostellaria heterophylla polysaccharide (PF-40) treatment.