| Title |
Bone metabolism markers and angiogenic cytokines as regulators of human hematopoietic stem cell mobilization
|
|---|---|
| Published in |
Journal of Bone and Mineral Metabolism, June 2017
|
| DOI | 10.1007/s00774-017-0853-4 |
| Pubmed ID | |
| Authors |
Pantelis Tsirkinidis, Evangelos Terpos, Georgios Boutsikas, Athanasios Papatheodorou, Konstantinos Anargyrou, Eleni Lalou, Aglaia Dimitrakopoulou, Christina Kalpadakis, Konstantinos Konstantopoulos, Marina Siakantaris, Panayiotis Panayiotidis, Gerassimos Pangalis, Marie-Christine Kyrtsonis, Theodoros Vassilakopoulos, Maria K. Angelopoulou |
| Abstract |
Hematopoietic stem cell (HSC) mobilization involves cleavage of ligands between HSC and niche components. However, there are scarce data regarding the role of bone cells in human HSC mobilization. We studied biochemical markers of bone metabolism and angiogenic cytokines during HSC mobilization in 46 patients' sera with lymphoma and multiple myeloma, by ELISA. Significant changes between pre-mobilization and collection samples were found: (1) Bone alkaline phosphatase (BALP) increased, indicating augmentation of bone formation; (2) Receptor activator of Nf-κB ligand/osteoprotegerin ratio (RANKL/OPG) increased, showing osteoclastic differentiation and survival; however, there was no evidence of increased osteoclastic activity; and (3) Angiopoietin-1/Angiopoietin-2 ratio (ANGP-1/ANGP-2) decreased, consistent with vessel destabilization. Poor mobilizers had significantly higher carboxy-terminal telopeptide of collagen type I (CTX) and lower ANGP-1 at pre-mobilization samples, compared to good ones. CTX, amino-terminal telopeptide of collagen type I (NTX) and ANGP-1 pre-mobilization levels correlated significantly with circulating CD34(+) peak cell counts. Our results indicate that bone formation and vessel destabilization are the two major events during human HSC mobilization. Osteoblasts seem to be the orchestrating cells, while osteoclasts are stimulated but not fully active. Moreover, ANGP-1, CTX and NTX may serve as predictors of poor mobilization. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 21% |
| Student > Ph. D. Student | 3 | 16% |
| Student > Master | 3 | 16% |
| Professor | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 32% |
| Agricultural and Biological Sciences | 2 | 11% |
| Sports and Recreations | 2 | 11% |
| Immunology and Microbiology | 1 | 5% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 7 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 July 2017.
All research outputs
#14,393,463
of 23,842,189 outputs
Outputs from Journal of Bone and Mineral Metabolism
#312
of 787 outputs
Outputs of similar age
#168,929
of 317,244 outputs
Outputs of similar age from Journal of Bone and Mineral Metabolism
#3
of 15 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 787 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 317,244 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.