| Title |
Effect of bisphosphonates treatment on cytokine imbalance between TH17 and Treg in osteoporosis
|
|---|---|
| Published in |
Inflammopharmacology, April 2015
|
| DOI | 10.1007/s10787-015-0233-4 |
| Pubmed ID | |
| Authors |
Roba M. Talaat, Asmaa Sidek, Ahmed Mosalem, Ahmed Kholief |
| Abstract |
Imbalance of T-helper-cell (TH) subsets (TH1/TH2/TH17) and regulatory T cells (Tregs) is suggested to contribute to the pathogenesis of osteoporosis. Broken TH17/Treg balance has been reported contributing to several inflammatory diseases. Although bisphosphonates are well-recognized inhibitors of osteoclastic activity, there is no serious examination of their effect on T cell subset (TH1/TH2/TH17/Treg) balances. Patients were categorized into 20 osteopenic and 20 osteoporotic patients treated with bisphosphonates for 1 year. We studied plasma levels of interleukins 4 (IL-4), IL-6, IL-10, IL-12, IL-17, IL-23, and interferon-gamma (IFN-γ), and transforming growth factor-beta (TGF-β) and their interrelations and correlation with osteoporosis treatment were evaluated. Treated osteoporotic patients have a significant reduction of plasma IL-6 (p < 0.05), IL-17 (p < 0.05), IL-23 (p < 0.05), and IFN-γ (p < 0.05), a significant increase in IL-4 (p < 0.05), IL-10 (p < 0.05), and TGF-β (p < 0.001), and comparable IL-12 levels as compared to controls. In conclusion, the significant reduction of Th17 cell cytokine cascade (IL-6, IL-17, and IL-23) and elevation of Treg cytokine cascade (IL-10 and TGF-β) might be considered as a very important observation about the effect of bisphosphonates on TH17/Treg imbalance in 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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Other | 2 | 15% |
| Professor > Associate Professor | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Professor | 1 | 8% |
| Other | 3 | 23% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 31% |
| Immunology and Microbiology | 3 | 23% |
| Medicine and Dentistry | 2 | 15% |
| Agricultural and Biological Sciences | 1 | 8% |
| Economics, Econometrics and Finance | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 1 | 8% |
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 26 April 2015.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from Inflammopharmacology
#406
of 582 outputs
Outputs of similar age
#195,070
of 266,145 outputs
Outputs of similar age from Inflammopharmacology
#2
of 2 outputs
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