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Attention Score in Context
| Title |
Tridax procumbens flavonoids promote osteoblast differentiation and bone formation
|
|---|---|
| Published in |
Biological Research, November 2015
|
| DOI | 10.1186/s40659-015-0056-1 |
| Pubmed ID | |
| Authors |
Md. Abdullah Al Mamun, Mohammad Jakir Hosen, Kamrul Islam, Amina Khatun, M. Masihul Alam, Md. Abdul Alim Al-Bari |
| Abstract |
Tridax procumbens flavonoids (TPFs) are well known for their medicinal properties among local natives. Besides traditionally used for dropsy, anemia, arthritis, gout, asthma, ulcer, piles, and urinary problems, it is also used in treating gastric problems, body pain, and rheumatic pains of joints. TPFs have been reported to increase osteogenic functioning in mesenchymal stem cells. Our previous study showed that TPFs were significantly suppressed the RANKL-induced differentiation of osteoclasts and bone resorption. However, the effects of TPFs to promote osteoblasts differentiation and bone formation remain unclear. TPFs were isolated from Tridax procumbens and investigated for their effects on osteoblasts differentiation and bone formation by using primary mouse calvarial osteoblasts. TPFs promoted osteoblast differentiation in a dose-dependent manner demonstrated by up-regulation of alkaline phosphatase and osteocalcin. TPFs also upregulated osteoblast differentiation related genes, including osteocalcin, osterix, and Runx2 in primary osteoblasts. TPFs treated primary osteoblast cells showed significant upregulation of bone morphogenetic proteins (BMPs) including Bmp-2, Bmp-4, and Bmp-7. Addition of noggin, a BMP specific-antagonist, inhibited TPFs induced upregulation of the osteocalcin, osterix, and Runx2. Our findings point towards the induction of osteoblast differentiation by TPFs and suggested that TPFs could be a potential anabolic agent to treat patients with bone loss-associated diseases such as osteoporosis. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 16% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Postgraduate | 4 | 9% |
| Researcher | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 15 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 18% |
| Agricultural and Biological Sciences | 6 | 13% |
| Engineering | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Chemical Engineering | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 17 | 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 18 November 2015.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Biological Research
#527
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Outputs of similar age
#288,823
of 392,460 outputs
Outputs of similar age from Biological Research
#11
of 15 outputs
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So far Altmetric has tracked 642 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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