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The effects of photobiomodulation therapy on mouse pre-osteoblast cell line MC3T3-E1 proliferation and apoptosis via miR-503/Wnt3a pathway

Overview of attention for article published in Lasers in Medical Science, September 2018
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Title
The effects of photobiomodulation therapy on mouse pre-osteoblast cell line MC3T3-E1 proliferation and apoptosis via miR-503/Wnt3a pathway
Published in
Lasers in Medical Science, September 2018
DOI 10.1007/s10103-018-2636-0
Pubmed ID
Authors

Qiushi Li, Chen Li, Si Xi, Xianjing Li, Lina Ding, Meihua Li

Abstract

Photobiomodulation therapy (PBMT) has been demonstrated as regulating osteoblast proliferation. MicroRNAs (miRNAs) are involved in various pathophysiologic processes in osteoblast, but the role of miRNAs in the PBMT-based promotion of osteoblast proliferation remains unclear. This study aimed to investigate the effects of PBMT treatment (3.75 J/cm2) on mouse pre-osteoblast cell line MC3T3-E1 proliferation and apoptosis via the miR-503/Wnt3a pathway; meanwhile, detect the expressions of miR-503 and Wnt3a after PBMT treatment and the role of miR-503 in regulating Wnt signaling molecules Wnt3a, β-catenin, Runx2, apoptotic proteins caspase-3, and Bcl-2 in vitro. The PBMT parameters were as follows: 808 nm continuous wavelength, 0.401 W output power, 0.042 W/cm2 power density, 9.6 cm2 spot size, 36 J energy, 3.75 J/cm2 energy density, 90 s irradiation for three times per 12 h, 14.5 cm distance of the laser source and the angle of divergence of the laser beam was 7°. In our present study, the target relationship was predicted and verified by bioinformatics analysis and luciferase reporter assays. Gene mRNA and protein expressions were examined by qPCR and western blot analysis. The MTT method was used to evaluate the effect of miR-503 on MC3T3-E1 cells proliferation. And cell apoptosis was examined by flow cytometry. The results showed that PBMT treatment reduced the expression of miR-503 and increased the level of Wnt3a (p < 0.01). Bioinformatics analysis and luciferase reporter assays revealed that Wnt3a was a target of miR-503, and Wnt3a was regulated by miR-503. Furthermore, miR-503 was found to functionally inhibit proliferation and promote apoptosis (p < 0.01). And during this process, Wnt3a, β-catenin, Runx2, and Bcl-2 expressions were significantly inhibited (p < 0.01); however, caspase-3 level was upregulated (p < 0.01). These results suggest that miR-503 plays a role in osteoblast proliferation and apoptosis in response to PBMT, which is potentially amenable to therapeutic manipulation for clinical application.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 22%
Researcher 2 11%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Lecturer 1 6%
Other 0 0%
Unknown 9 50%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Nursing and Health Professions 2 11%
Biochemistry, Genetics and Molecular Biology 1 6%
Physics and Astronomy 1 6%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 9 50%
Attention Score in Context

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 16 September 2018.
All research outputs
#18,649,291
of 23,103,436 outputs
Outputs from Lasers in Medical Science
#883
of 1,323 outputs
Outputs of similar age
#259,279
of 337,900 outputs
Outputs of similar age from Lasers in Medical Science
#13
of 29 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,323 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 17th percentile – i.e., 17% 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 337,900 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.