| Title |
Inonotus obliquus polysaccharide regulates gut microbiota of chronic pancreatitis in mice
|
|---|---|
| Published in |
AMB Express, February 2017
|
| DOI | 10.1186/s13568-017-0341-1 |
| Pubmed ID | |
| Authors |
Yang Hu, Chunying Teng, Sumei Yu, Xin Wang, Jinsong Liang, Xin Bai, Liying Dong, Tao Song, Min Yu, Juanjuan Qu |
| Abstract |
Polysaccharide is efficient in attenuation of metabolic ailments and modulation of gut microbiota as prebiotics. The therapeutic effect of Inonotus obliquus polysaccharide (IOP) on chronic pancreatitis (CP) in mice has been validated in our previous study. However, it is not clear whether IOP is conducive to maintaining the homeostasis between gut microbiota and host. The aim of this study is to testify the potential effects of IOP on gut microbiota composition and diversity in mice with CP. The changes in glutathione peroxidase (GSH-PX), total antioxidant capacity (TAOC), tumor necrosis factor alpha (TNF-α), transforming growth factor beta (TGF-β), lipase and trypsin levels were measured by commercial assay kits, meanwhile the gut microbiota composition and diversity were analyzed by high throughput sequencing. The IOP treatment increased GSH-PX and TAOC levels, and decreased TNF-α, TGF-β, lipase and trypsin levels in CP mice. It was also observed that gut microbiota in IOP treated groups were less diverse than others in terms of lower Shannon diversity index and Chao 1 estimator. IOP increased the proportion of Bacteroidetes and decreased that of Firmicutes at phylum level. Bacteroidetes was found positively correlated with GSH-PX and TAOC, and Firmicutes correlated with TNF-α, TGF-β, and lipase. In conclusion, administration of IOP could regulate gut microbiota composition and diversity to a healthy profile in mice with CP, and some bacterial phylum significantly correlated with characteristic parameters. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 26% |
| Student > Bachelor | 5 | 9% |
| Student > Master | 5 | 9% |
| Student > Ph. D. Student | 4 | 7% |
| Professor > Associate Professor | 3 | 6% |
| Other | 4 | 7% |
| Unknown | 19 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 17% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Medicine and Dentistry | 7 | 13% |
| Nursing and Health Professions | 3 | 6% |
| Immunology and Microbiology | 3 | 6% |
| Other | 3 | 6% |
| Unknown | 22 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 May 2023.
All research outputs
#1,268,752
of 23,767,404 outputs
Outputs from AMB Express
#14
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Outputs of similar age
#29,719
of 431,827 outputs
Outputs of similar age from AMB Express
#1
of 64 outputs
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