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Attention Score in Context
| Title |
Effects of Bushen Tianjing Recipe in a rat model of tripterygium glycoside-induced premature ovarian failure
|
|---|---|
| Published in |
Chinese Medicine, April 2017
|
| DOI | 10.1186/s13020-017-0131-3 |
| Pubmed ID | |
| Authors |
Xiaofeng Xu, Yong Tan, Guorong Jiang, Xuanyi Chen, Rensheng Lai, Lurong Zhang, Guoqiang Liang |
| Abstract |
Bushen Tianjing Recipe (BTR) is a traditional Chinese herbal medicine that has been prescribed for premature ovarian failure (POF) for decades in China. Nevertheless, little is known regarding its underlying molecular mechanism. In the present study, we investigated the effects of BTR in a tripterygium glycoside (TG)-induced-POF rat model. Three doses of BTR were administered via intragastric gavage to adult female Sprague-Dawley (SD) rats with TG-induced POF. After 15 days of treatment, the estrous cycle was examined by vaginal smear analysis. Serum levels of estradiol, follicle-stimulating hormone, progesterone, and testosterone were measured by radioimmunoassay. Histological analysis and assessment of apoptosis were performed after hematoxylin and eosin staining of ovarian tissue sections. The expression of vascular endothelial growth factor (VEGF), vascular endothelial growth factor receptor 2 (VEGFR2), anti-apoptotic factor Bcl-2, and pro-apoptotic factors Bax and caspase 3 in ovaries of animals was examined by an immunohistochemistry process. BTR not only reverted an abnormal estrous cycle and decreased the ovary index in POF rats but also improved the abnormal secretion of reproductive hormones associated with POF. In addition, treatment with BTR can protect ovaries from TG-induced damage, induce intraovarian expression of VEGF and VEGFR2, and regulate intraovarian expression of apoptosis-related proteins. Our results show that BTR is effective in the treatment of TG-induced POF rats. Promotion of angiogenesis and anti-apoptosis are most likely to contribute to the effects of BTR against POF. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 17% |
| Lecturer | 2 | 11% |
| Other | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Librarian | 1 | 6% |
| Other | 4 | 22% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 28% |
| Nursing and Health Professions | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Psychology | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 May 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Chinese Medicine
#404
of 660 outputs
Outputs of similar age
#233,484
of 323,377 outputs
Outputs of similar age from Chinese Medicine
#2
of 6 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,377 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.