| Title |
TNF-α Increases Bone Marrow Mesenchymal Stem Cell Migration to Ischemic Tissues
|
|---|---|
| Published in |
Cell Biochemistry and Biophysics, November 2011
|
| DOI | 10.1007/s12013-011-9317-y |
| Pubmed ID | |
| Authors |
Qiong Xiao, Shi-kun Wang, Hua Tian, Li Xin, Zhi-geng Zou, Yan-lai Hu, Cui-ming Chang, Xue-ying Wang, Qun-sheng Yin, Xiang-hong Zhang, Li-yan Wang |
| Abstract |
The objective of this study was to analyze the influence of TNF-α on rat mesenchymal stem cells (MSCs) and to assess feasibility of MSC transplantation to repair ischemic injury. In this study, adhesion molecules and cell specific surface markers on MSCs were measured after exposure to different concentrations of TNF-α. MSCs stimulated with varying concentrations of TNF-α were cultured with aortic endothelial cells, and the adhesion rate was measured. MSCs were then stimulated with an optimum concentration of TNF-α as determined in vitro, and injected intravenously into rats with ischemic hind limb injury. The number of MSCs in muscle samples from the ischemic area was counted. The results showed that (1) TNF-α induced a concentration-dependent increase in VCAM-1 expression in MSCs, whereas the expression of L-selectin, ICAM-1 and VLA-4 did not change significantly. Expression of MSC-specific antigens was unchanged. (2) MSCs pretreated with 10 ng/ml TNF-α showed significantly increased adhesion to endothelial cells in vitro, and accumulated to a greater extent in the areas of ischemic damage in rat hind limbs. We were able to conclude that TNF-α has no effect on expression of MSC-specific markers, but can increase the expression of VCAM-1 on rat MSCs. Suitable concentrations of TNF-α can promote MSC adhesion to endothelial cells and migration to damaged tissue. |
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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 27% |
| Student > Master | 11 | 22% |
| Researcher | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Professor > Associate Professor | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 25% |
| Medicine and Dentistry | 11 | 22% |
| Biochemistry, Genetics and Molecular Biology | 9 | 18% |
| Neuroscience | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 8 | 16% |
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 17 November 2011.
All research outputs
#18,300,116
of 22,656,971 outputs
Outputs from Cell Biochemistry and Biophysics
#473
of 910 outputs
Outputs of similar age
#116,373
of 141,783 outputs
Outputs of similar age from Cell Biochemistry and Biophysics
#6
of 12 outputs
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So far Altmetric has tracked 910 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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