| Title |
Cannabidiol Reverses Deficits in Hippocampal LTP in a Model of Alzheimer’s Disease
|
|---|---|
| Published in |
Neurochemical Research, March 2018
|
| DOI | 10.1007/s11064-018-2513-z |
| Pubmed ID | |
| Authors |
Blathnaid Hughes, Caroline E. Herron |
| Abstract |
Here we demonstrate for the first time that cannabidiol (CBD) acts to protect synaptic plasticity in an in vitro model of Alzheimer's disease (AD). The non-psycho active component of Cannabis sativa, CBD has previously been shown to protect against the neurotoxic effects of beta amyloid peptide (Aβ) in cell culture and cognitive behavioural models of neurodegeneration. Hippocampal long-term potentiation (LTP) is an activity dependent increase in synaptic efficacy often used to study cellular mechanisms related to memory. Here we show that acute application of soluble oligomeric beta amyloid peptide (Aβ1-42) associated with AD, attenuates LTP in the CA1region of hippocampal slices from C57Bl/6 mice. Application of CBD alone did not alter LTP, however pre-treatment of slices with CBD rescued the Aβ1-42mediated deficit in LTP. We found that the neuroprotective effects of CBD were not reversed by WAY100635, ZM241385 or AM251, demonstrating a lack of involvement of 5HT1A, adenosine (A2A) or Cannabinoid type 1 (CB1) receptors respectively. However in the presence of the PPARγ antagonist GW9662 the neuroprotective effect of CBD was prevented. Our data suggests that this major component of Cannabis sativa, which lacks psychoactivity may have therapeutic potential for the treatment of AD. |
X Demographics
The data shown below were collected from the profiles of 36 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 | 10 | 28% |
| Canada | 3 | 8% |
| United Kingdom | 2 | 6% |
| Belgium | 1 | 3% |
| Czechia | 1 | 3% |
| France | 1 | 3% |
| Japan | 1 | 3% |
| Austria | 1 | 3% |
| Paraguay | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 67% |
| Practitioners (doctors, other healthcare professionals) | 9 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
| Scientists | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 155 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 15% |
| Student > Bachelor | 20 | 13% |
| Student > Master | 17 | 11% |
| Researcher | 14 | 9% |
| Student > Doctoral Student | 6 | 4% |
| Other | 18 | 12% |
| Unknown | 57 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 22 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 14 | 9% |
| Agricultural and Biological Sciences | 11 | 7% |
| Biochemistry, Genetics and Molecular Biology | 10 | 6% |
| Medicine and Dentistry | 9 | 6% |
| Other | 26 | 17% |
| Unknown | 63 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 105. 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 11 June 2021.
All research outputs
#386,703
of 24,829,155 outputs
Outputs from Neurochemical Research
#6
of 2,234 outputs
Outputs of similar age
#9,040
of 336,600 outputs
Outputs of similar age from Neurochemical Research
#2
of 25 outputs
Altmetric has tracked 24,829,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,234 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 99% 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 336,600 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.