| Title |
Apigenin promotes osteogenic differentiation of human mesenchymal stem cells through JNK and p38 MAPK pathways
|
|---|---|
| Published in |
Molecular and Cellular Biochemistry, May 2015
|
| DOI | 10.1007/s11010-015-2452-9 |
| Pubmed ID | |
| Authors |
Xue Zhang, Chenhui Zhou, Xuan Zha, Zhoumei Xu, Li Li, Yuyu Liu, Liangliang Xu, Liao Cui, Daohua Xu, Baohua Zhu |
| Abstract |
Apigenin is a plant-derived flavonoid and has been reported to prevent bone loss in ovariectomized mice, but the role of apigenin on osteogenic differentiation of human mesenchymal stem cells (hMSCs) has not been reported. In the present study, the effect of apigenin on osteogenic differentiation of hMSCs was explored. Our results showed that apigenin treatment significantly increased alkaline phosphatase (ALP) activity and mineralization in hMSCs. RT-PCR revealed that apigenin markedly up-regulated the mRNA expression of osteopontin (OPN) and the transcription factors runt-related transcription factor 2 (Runx2). The expression of Runx2 and osterix (OSX) proteins were also increased in hMSCs differentiating into osteoblasts after treatment with apigenin. Furthermore, we investigated the signaling pathways responsible for osteogenic differentiation of apigenin in hMSCs. We found that apigenin treatment significantly increased the levels of p-JNK, p-p38 in hMSCs and addition of the inhibitors of JNK (SP600125) or p38 MAPK (SB203580) eliminated the stimulating effects of apigenin. In addition, addition of SP600125 or SB203580 also blocked apigenin-induced ALP activity, OPN, Runx2, and OSX expression and meanwhile inhibited bone nodule formation. Taken together, these findings suggest apigenin promotes the osteogenesis of hMSCs through activation of JNK and p38 MAPK signal pathways which leads to Runx2 and OSX expressions to induce the formation of bone nodule. |
X Demographics
The data shown below were collected from the profiles of 2 X users 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Master | 6 | 19% |
| Student > Bachelor | 5 | 16% |
| Student > Ph. D. Student | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Agricultural and Biological Sciences | 3 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 10% |
| Neuroscience | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 12 | 39% |
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 08 September 2015.
All research outputs
#15,333,633
of 22,807,037 outputs
Outputs from Molecular and Cellular Biochemistry
#1,319
of 2,304 outputs
Outputs of similar age
#156,799
of 266,745 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#12
of 43 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,304 research outputs from this source. They receive a mean Attention Score of 3.9. 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 266,745 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.