| Literature DB >> 25880659 |
Liqin Wang1, Cuiqin Wang2, Xia Gao3, Nuo Xu4, Lin Lin5, Huajie Zhao6, Shouhua Jia7, Le Jia8.
Abstract
BACKGROUND: In the modern society, aging had been a major problem. People may rely on many medicines to delay it. However, lots of medicines were chemosynthetic, and they would do a bad side-effect on human body. Microbial sources could be used as a potential means of producing natural antioxidants. Lentinus edodes, commercial obtained in daily life, had recently become more attractive in physiological research. Zinc was now considered as a major element in assuring the correct functioning of an organism and essential for maintaining coordination of the major homeostatic networks. To investigate the bioconversion of zinc and the physiological effects of their complex (MZPS), the present studies were processed.Entities:
Mesh:
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Year: 2015 PMID: 25880659 PMCID: PMC4409736 DOI: 10.1186/s12906-015-0630-7
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Figure 1DEAE–52 cellulose anion–exchange column chromatogram. A MPS and B MZPS.
Reducing power of MPS and MZPS
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| 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 50 | — | 0.016 | 0.024 | — | 0.071 | 0.077 |
| 100 | 0.065 | 0.019 | 0.031 | 0.220 | 0.094 | 0.112 |
| 150 | — | 0.025 | 0.043 | — | 0.164 | 0.131 |
| 200 | 0.095 | 0.024 | 0.041 | 0.226 | 0.190 | 0.137 |
| 250 | — | 0.026 | 0.042 | — | 0.223 | 0.143 |
| 300 | 0.134 | 0.034 | 0.05 | 0.229 | 0.253 | 0.192 |
| 400 | 0.162 | — | — | 0.229 | — | — |
| 500 | 0.18 | — | — | 0.242 | — | — |
| 600 | 0.183 | — | — | 0.244 | — | — |
| 700 | 0.187 | — | — | 0.245 | — | — |
| 800 | 0.196 | — | — | 0.257 | — | — |
| 900 | 0.205 | — | — | 0.259 | — | — |
| 1000 | 0.228 | — | — | 0.282 | — | — |
“—”: Not determination.
Hydroxyl radical scavenging rate of MPS and MZPS
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| 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 50 | — | 0.005 | 0.037 | — | 0.301 | 0.296 |
| 100 | 0.154 | 0.014 | 0.106 | 0.158 | 0.454 | 0.405 |
| 150 | — | 0.045 | 0.134 | — | 0.536 | 0.437 |
| 200 | 0.226 | 0.053 | 0.200 | 0.241 | 0.859 | 0.582 |
| 250 | — | 0.055 | 0.263 | — | 0.894 | 0.814 |
| 300 | 0.245 | 0.090 | 0.333 | 0.271 | 0.989 | 0.887 |
| 400 | 0.308 | — | — | 0.359 | — | — |
| 500 | 0.334 | — | — | 0.403 | — | — |
| 600 | 0.385 | — | — | 0.437 | — | — |
| 700 | 0.431 | — | — | 0.503 | — | — |
| 800 | 0.509 | — | — | 0.578 | — | — |
| 900 | 0.524 | — | — | 0.593 | — | — |
| 1000 | 0.590 | — | — | 0.662 | — | — |
“—”: Not determination.
DPPH scavenging rate of MPS and MZPS
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| 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 50 | — | 0.036 | 0.046 | — | 0.020 | 0.031 |
| 100 | 0.026 | 0.042 | 0.048 | 0.120 | 0.050 | 0.099 |
| 150 | — | 0.069 | 0.076 | — | 0.083 | 0.152 |
| 200 | 0.035 | 0.145 | 0.078 | 0.143 | 0.122 | 0.3202 |
| 250 | — | 0.355 | 0.147 | — | 0.157 | 0.752 |
| 300 | 0.037 | 0.558 | 0.232 | 0.160 | 0.176 | 0.755 |
| 400 | 0.056 | — | — | 0.233 | — | — |
| 500 | 0.062 | — | — | 0.300 | — | — |
| 600 | 0.077 | — | — | 0.417 | — | — |
| 700 | 0.081 | — | — | 0.569 | — | — |
| 800 | 0.093 | — | — | 0.664 | — | — |
| 900 | 0.109 | — | — | 0.749 | — | — |
| 1000 | 0.138 | — | — | 0.773 | — | — |
“—”: Not determination.
Figure 2Gas chromatogram of polysaccharide. (A) chromatogram of standard. (B) chromatogram of MPS. (C) chromatogram of MZPS.
Figure 3HPGPC chromatogram of MZPS.
Figure 4Infrared spectrum. (A) MPS and (B) MZPS.
Effects of MPS and MZPS on the activities of T-AOC, GSH-Px and SOD in heart, liver, kidney [U/mg] and blood [U/mL] and MDA in heart, liver, kidney [nmol/g] and blood [nmol/mL] of aging mice
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| T–AOC | ||||||
| Heart | 25.65 ± 0.01 | 1.23 ± 0.01 | 5.49 ± 0.50bd | 19.29 ± 0.51bd | 8.42 ± 0.01bd | 25.01 ± 0.01bd |
| Liver | 26.04 ± 0.01 | 5.94 ± 0.01 | 7.04 ± 0.01bd | 25.53 ± 0.01bd | 13.04 ± 0,07bd | 26.04 ± 0.01bd |
| Kidney | 17.83 ± 0.01 | 5.81 ± 0.01 | 6.76 ± 0.01bd | 14.94 ± 6.35 | 8.37 ± 0.01bd | 15.23 ± 0.10bd |
| Blood | 21.09 ± 0.01 | 5.48 ± 0.01 | 6.29 ± 0.01bd | 18.63 ± 0.01bd | 8.97 ± 0.01bd | 20.39 ± 0.01bd |
| GSH–Px | ||||||
| Heart | 0.093 ± 0.02 | 0.006 ± 0.01 | 0.011 ± 0.01bd | 0.075 ± 0.01bd | 0.022 ± 0.01bd | 0.089 ± 0.01 |
| Liver | 0.274 ± 0.09 | 0.011 ± 0.11 | 0.012 ± 0.01b | 0.106 ± 0.01bd | 0.039 ± 0.01bd | 0.208 ± 001bd |
| Kidney | 0.167 ± 0.02 | 0.014 ± 0.03 | 0.041 ± 0.01bd | 0.087 ± 0.01bd | 0.066 ± 0.01bd | 0.131 ± 0.01bd |
| Blood | 0.217 ± 0.07 | 0.149 ± 0.05 | 0.154 ± 0.04bd | 0.191 ± 0.02bd | 0.174 ± 0.03bd | 0.208 ± 0.02bd |
| SOD | ||||||
| Heart | 632.20 ± 2.55 | 342.66 ± 0.57 | 376.22 ± 8.24bd | 568.55 ± 0.51d | 398.22 ± 0.38bd | 633.11 ± 0.69d |
| Liver | 307.25 ± 1.09 | 133.68 ± 3.05 | 144.81 ± 0.73bd | 263.08 ± 1.01bd | 243.11 ± 2.77bd | 302.25 ± 1.40bd |
| Kidney | 14.74 ± 0.25 | 1.61 ± 0.12 | 2.18 ± 0.74b | 13.19 ± 0.73ad | 8.14 ± 0.25bd | 14.24 ± 0.42d |
| Blood | 303.08 ± 3.51 | 64.77 ± 0.39 | 74.96 ± 0.94bd | 269.08 ± 1.01bd | 113.24 ± 1.08bd | 290.28 ± 6.03ad |
| MDA | ||||||
| Heart | 1.13 ± 0.01 | 3.63 ± 0.01 | 3.44 ± 0.01bd | 1.34 ± 0.01bd | 2.77 ± 0.01bd | 1.21 ± 0.01bd |
| Liver | 0.36 ± 0.02 | 3.40 ± 0.03 | 3.33 ± 0.01bd | 0.54 ± 0.01bd | 2.98 ± 01.01bd | 0.43 ± 0.01bd |
| Kidney | 0.03 ± 0.02 | 0.09 ± 0.01 | 0.09 ± 0.01bd | 0.06 ± 7.51bd | 0.38 ± 0.01bd | 0.04 ± 0.01bd |
| Blood | 1.03 ± 0.01 | 2.86 ± 0.02 | 2.72 ± 0.01bd | 1.25 ± 0.01bd | 2.53 ± 0.01bd | 1.03 ± 0.01bc |
λ: Values are expressed as Mean ± S.D. [Std. Deviation, n = 5]. Paired Samples Statistics [T–T test] are used for the significant difference compare to the CK or Model.
Differences are considered significant at P < 0.05.
a: Significant difference compare to CK; P < 0.05.
b: Significant difference compare to CK; P < 0.01.
c: Significant difference compare to Model; P < 0.05.
d: Significant difference compare to Model; P < 0.01.