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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Study on the inhibition of Mfn1 by plant-derived miR5338 mediating the treatment of BPH with rape bee pollen
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, January 2018
|
| DOI | 10.1186/s12906-018-2107-y |
| Pubmed ID | |
| Authors |
Xuan Chen, Ren-zhao Wu, Yong-qiang Zhu, Ze-ming Ren, Ye-ling Tong, Feng Yang, Guan-hai Dai |
| Abstract |
Recent studies have found that plant derived microRNA can cross-kingdom regulate the expression of genes in humans and other mammals, thereby resisting diseases. Can exogenous miRNAs cross the blood-prostate barrier and entry prostate then participate in prostate disease treatment? Using HiSeq sequencing and RT-qPCR technology, we detected plant miRNAs that enriched in the prostates of rats among the normal group, BPH model group and rape bee pollen group. To forecast the functions of these miRNAs, the psRobot software and TargetFinder software were used to predict their candidate target genes in rat genome. The qRT-PCR technology was used to validate the expression of candidate target genes. Plant miR5338 was enriched in the posterior lobes of prostate gland of rats fed with rape bee pollen, which was accompanied by the improvement of BPH. Among the predicted target genes of miR5338, Mfn1 was significantly lower in posterior lobes of prostates of rats in the rape bee pollen group than control groups. Further experiments suggested that Mfn1 was highly related to BPH. These results suggesting that plant-derived miR5338 may involve in treatment of rat BPH through inhibiting Mfn1 in prostate. These results will provide more evidence for plant miRNAs cross-kingdom regulation of animal gene, and will provide preliminary theoretical and experimental basis for development of rape bee pollen into innovative health care product or medicine for the treatment of BPH. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 19% |
| Student > Doctoral Student | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 1 | 4% |
| Librarian | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 11 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Neuroscience | 2 | 8% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 10 | 38% |
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 01 February 2018.
All research outputs
#20,461,148
of 23,018,998 outputs
Outputs from BMC Complementary Medicine and Therapies
#2,989
of 3,643 outputs
Outputs of similar age
#377,816
of 440,328 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#81
of 109 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,643 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 1st percentile – i.e., 1% 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 440,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.