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Effects of Osteoglycin (OGN) on treating senile osteoporosis by regulating MSCs

Overview of attention for article published in BMC Musculoskeletal Disorders, October 2017
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1 tweeter

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Title
Effects of Osteoglycin (OGN) on treating senile osteoporosis by regulating MSCs
Published in
BMC Musculoskeletal Disorders, October 2017
DOI 10.1186/s12891-017-1779-7
Pubmed ID
Authors

Xia Chen, Junsong Chen, Dongliang Xu, Shuangxia Zhao, Huaidong Song, Yongde Peng

Abstract

Significant amount of bone mass is lost during the process of aging due to an imbalance between osteoblast-mediated bone formation and osteoclast-mediated bone resorption in bone marrow microenvironment, which leads to net bone loss in the aging population, resulting in the pathogenesis of osteoporosis. Firstly, differences in proliferative capacity of adipocyte or adipogenic differentiation in mouse mesenchymal stem cells (MMSCs) and senile mouse model-derived bone marrow mesenchymal stem cells (SMMSCs), as well as mRNA expression of OGN and PPARγ2 were observed. Secondly, osteogenic abilities of MMSCs and SMMSCs treated with rosiglitazone (a PPARγ2 agonist) to induce osteogenic changes were observed, and negative correlation of PPARγ2 with OGN was evaluated. Thirdly, the role of SMMSCs in promoting osteogenesis was examined through enhancing expression of OGN; besides, the related mechanism was investigated by means of expression of related adipocyte and osteoblast specific genes. Forced OGN expression by OGN-infected lentivirus could increase expression of Wnt5b, RUNX2, OCN, ALP and Colla1, as well as bone formation, while decreases expression of adipogenesis marker PPARγ2. It resulted in expression inhibition of adipocyte genes such as adipocytic differentiation related genes adipocyte binding protein 2 (aP2) and osteoclast differentiation factor Rankl in bone marrow, giving rise to increased bone mass. OGN may plays a significant role in osteoporosis, which may also provide a potential target for therapeutic intervention of senile osteoporosis characterized by altered differentiation of BMSCs into osteoblasts and adipocytes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 20%
Student > Bachelor 3 20%
Researcher 2 13%
Professor 2 13%
Other 1 7%
Other 1 7%
Unknown 3 20%
Readers by discipline Count As %
Medicine and Dentistry 5 33%
Biochemistry, Genetics and Molecular Biology 2 13%
Agricultural and Biological Sciences 1 7%
Immunology and Microbiology 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Other 1 7%
Unknown 4 27%

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 10 November 2017.
All research outputs
#10,749,720
of 12,122,714 outputs
Outputs from BMC Musculoskeletal Disorders
#2,203
of 2,412 outputs
Outputs of similar age
#237,271
of 282,981 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#111
of 140 outputs
Altmetric has tracked 12,122,714 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,412 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% 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 282,981 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.