| Title |
The effect of depression on fracture healing and osteoblast differentiation in rats
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, June 2018
|
| DOI | 10.2147/ndt.s168653 |
| Pubmed ID | |
| Authors |
Chunzi Nie, Zhan Wang, Xufeng Liu |
| Abstract |
Depressive disorder has been proven to be associated with disturbed bone metabolism. However, the effect of depression on fracture healing still lacks evidence. A rat depressive model was first established by exposing the animals to chronic unpredictable stress, which was assessed using the sucrose preference test, forced swimming test, and open field test. Subsequently, the bone repairing ability was detected by micro-computed tomography and histological analysis of the femoral condyle defect rats with or without depression. To further investigate the potential mechanisms of depression on fracture healing, the osteogenic differentiation and autophagic level were compared between the bone marrow mesenchymal stem cells (BMSCs) derived from depressive and normal rats. Our results showed that rats with depressive disorder significantly slowed the healing process at 4 and 8 weeks postinjury. Furthermore, the osteogenic potential and autophagy remarkably decreased in BMSCs from the depressive rats, suggesting an inherent relationship between autophagy and osteogenic differentiation. Finally, rapamycin, an autophagic agonist, significantly improved osteogenic differentiation of depressive BMSCs through autophagy activation. The present study indicated that depression had a negative effect on fracture healing with low osteoblast differentiation of BMSCs. Also, autophagy activation in BMSCs offers a novel therapeutic target for depressive patients with poor fracture healing. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Germany | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Student > Doctoral Student | 3 | 14% |
| Unspecified | 2 | 9% |
| Lecturer | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 8 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 27% |
| Unspecified | 2 | 9% |
| Neuroscience | 2 | 9% |
| Chemical Engineering | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 July 2018.
All research outputs
#14,393,794
of 25,385,509 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,262
of 3,131 outputs
Outputs of similar age
#166,715
of 342,877 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#35
of 78 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 58% 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 342,877 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 78 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 55% of its contemporaries.