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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Electroacupuncture Potentiates Cannabinoid Receptor-Mediated Descending Inhibitory Control in a Mouse Model of Knee Osteoarthritis
|
|---|---|
| Published in |
Frontiers in Molecular Neuroscience, April 2018
|
| DOI | 10.3389/fnmol.2018.00112 |
| Pubmed ID | |
| Authors |
Xiao-Cui Yuan, Bing Zhu, Xiang-Hong Jing, Li-Ze Xiong, Cai-Hua Wu, Fang Gao, Hong-Ping Li, Hong-Chun Xiang, He Zhu, Bin Zhou, Wei He, Chuan-You Lin, Hui-Lin Pan, Qiang Wang, Man Li |
| Abstract |
Knee osteoarthritis (KOA) is a highly prevalent, chronic joint disorder, which can lead to chronic pain. Although electroacupuncture (EA) is effective in relieving chronic pain in the clinic, the involved mechanisms remain unclear. Reduced diffuse noxius inhibitory controls (DNIC) function is associated with chronic pain and may be related to the action of endocannabinoids. In the present study, we determined whether EA may potentiate cannabinoid receptor-mediated descending inhibitory control and inhibit chronic pain in a mouse model of KOA. We found that the optimized parameters of EA inhibiting chronic pain were the low frequency and high intensity (2 Hz + 1 mA). EA reversed the reduced expression of CB1 receptors and the 2-arachidonoylglycerol (2-AG) level in the midbrain in chronic pain. Microinjection of the CB1 receptor antagonist AM251 into the ventrolateral periaqueductal gray (vlPAG) can reversed the EA effect on pain hypersensitivity and DNIC function. In addition, CB1 receptors on GABAergic but not glutamatergic neurons are involved in the EA effect on DNIC function and descending inhibitory control of 5-HT in the medulla, thus inhibiting chronic pain. Our data suggest that endocannabinoid (2-AG)-CB1R-GABA-5-HT may be a novel signaling pathway involved in the effect of EA improving DNIC function and inhibiting chronic pain. |
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 % |
|---|---|---|
| Spain | 2 | 50% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 18% |
| Student > Ph. D. Student | 7 | 11% |
| Researcher | 6 | 9% |
| Student > Doctoral Student | 6 | 9% |
| Professor | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 18 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 31% |
| Nursing and Health Professions | 6 | 9% |
| Neuroscience | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 24 | 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 05 September 2019.
All research outputs
#14,694,363
of 24,137,933 outputs
Outputs from Frontiers in Molecular Neuroscience
#1,523
of 3,144 outputs
Outputs of similar age
#180,580
of 333,268 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#57
of 120 outputs
Altmetric has tracked 24,137,933 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,144 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 50% 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 333,268 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 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 53% of its contemporaries.