MétaCan
Menu
Back to cohort
Record W2907218054 · doi:10.1111/add.14540

Plants come to mind: phytocannabinoids, endocannabinoids and the control of seizures

2018· editorial· en· W2907218054 on OpenAlexfundaboutno aff
Jordan S. Farrell, Iván Soltész

Bibliographic record

VenueAddiction · 2018
Typeeditorial
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsEndocannabinoid systemCannabidiolCannabinoid receptorCannabinoidNeuroscienceSynthetic cannabinoidsEpilepsyCannabisPharmacology2-ArachidonoylglycerolMedicineReceptorPsychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

A growing body of evidence highlights that the endogenous cannabinoid (endocannabinoid) system is a key target for seizure control. Plant-derived cannabinoids have several endocannabinoid and related mechanisms that may be fundamental to their anti-seizure properties. Epilepsy is a common neurological disease that is refractory to treatment in a third of cases—a proportion that has seemingly not changed for more than a century, despite the development of new medications 1. Clearly, there is an unmet need for fundamentally new anti-epileptic drug targets and mounting evidence suggests that the endogenous cannabinoid (i.e. endocannabinoid: eCB) system is a prime candidate. The brain's endocannabinoid system is centered around the cannabinoid type-1 (CB1) receptor, which was discovered to be the receptor for ∆9-tetrahydrocannabinol (THC) 2—the cannabis compound to which marijuana's psychological effects are most often attributed. Importantly, the molecular components for endocannabinoid synthesis, transport, receptor signaling and degradation are dysregulated in epilepsy, and drugs that alter this system profoundly modify seizure expression 3. Synthetic drugs that specifically target elements of the endocannabinoid system have not yet made it to market, but perhaps medical cannabis and cannabis extracts may be useful to target this system for seizure control. Here we examine potential mechanisms by which the plant-derived cannabinoids, THC and cannabidiol (CBD), interact with the endocannabinoid system to modify seizure manifestation and discuss important outstanding questions regarding their treatment of epilepsy. The CB1 receptor is the most common G-protein coupled receptor in the brain and regulates many neural circuits that mediate important behaviors through control of acute neurotransmission, long-term synaptic strength and synaptic integration 4-6. The ubiquity and importance of the eCB system make it a great potential mechanism for seizure control where the goal is to suppress excessive network excitability and synchrony. Indeed, cannabinoids achieve this goal throughout a wide range of animal models 3. However, administration of CB1 agonists, such as THC, may not appropriately target the endocannabinoid system to address the disrupted signaling in epilepsy, and is likely to have side effects. The timing of synthesis, release, receptor activation and degradation of the two major eCBs, 2-arachidonoyl glycerol ester (2-AG) and anandamide (AEA), are tightly regulated in a cell-type-specific manner and localized to discrete subcellular domains 7, 8. Systemically administered THC binds to available receptors without precise spatial or temporal specificity. It is not surprising, therefore, that THC is capable of side effects which include acute cognitive impairment and potential developmental abnormalities. Furthermore, CB1 agonists can paradoxically enhance network synchrony in some circuits by suppressing inhibitory neurotransmission 9 and potentially be seizure-promoting. Thus, THC and other CB1 agonists have some drawbacks, and may not invariably ameliorate seizures. Unlike THC, CBD, which has gained momentous traction as an epilepsy therapeutic following two recent clinical trials for rare and highly refractory developmental epilepsies 10, 11, is generally thought to exert its actions independent of the CB1 receptor. However, recent evidence supports that CBD opposes the actions of exogenous and endogenous cannabinoid agonists, including THC, through negative allosteric modulation 12. CBD has been reported to act on more than 65 potential molecular targets 13. Notably, the CBD dosage used in recent pediatric epilepsy trials, 20 mg/kg/day, is up to 100 times higher than dosages marketed to treat anxiety in adults, which generally recommend capsules that contain a total of 10–35 mg. Thus, at the high doses used to treat epilepsy, many mechanisms are probably at play, including endocannabinoid and related signaling pathways, discussed below. One potential anti-seizure mechanism of CBD is through inhibition of an enzyme that metabolizes AEA—fatty acid amide hydrolase (FAAH) 14. Unlike broad CB1 agonism, which is not synapse-specific, FAAH inhibition augments levels of AEA, whose synthesis and release is tightly controlled both temporally and spatially at specific synapses. FAAH inhibition was directly compared to broad CB1 agonism in a recent study using acute electrically evoked seizures in rats 15. Both drugs inhibited seizures in a CB1-dependent manner; however, only FAAH inhibition restored the induction of long-term potentiation (LTP), a relevant synaptic memory mechanism which becomes impaired following repeated seizures. As both strategies act on the same receptor but have different effects on memory processes, these results emphasize the importance of spatiotemporally controlled eCB signaling. Regarding CBD, it is difficult to understand to what extent the anti-seizure effects act through FAAH inhibition, as CBD's actions as a negative allosteric modulator of CB1 could mask a CB1-dependent effect while still permitting non-CB1-dependent effects. Recent evidence indicates that CBD can control seizures via the activity of non-canonical cannabinoid receptors. In an animal model of Dravet syndrome (SCN1a+/− mice), GPR55, an orphan G-protein coupled receptor which is activated by eCBs, was necessary for the anti-epileptic properties of CBD 16. Recent evidence also supports a role for transient receptor potential vanilloid 1 (TRPV1), which is activated by AEA, in CBD's anti-seizure properties with corneal-kindling 17. CBD, AEA and other vanilloid agonists are capable of activating and rapidly desensitizing TRPV1 channels 18, which potentially underlies this anti-seizure effect of CBD. Interestingly, TRPV1 recruitment by FAAH inhibition results in a decrease in tonic 2-AG signaling at the CB1 receptor 19, resulting in altered endocannabinoid tone. The inherent cross-talk within and between lipid signaling systems, including endocannabinoid, endovanilloid, prostanoid and others, makes it likely that CBD affects many signaling domains, even if only a few key mechanisms are involved. Given the key role for disrupted eCB signaling in several epilepsies, a more complete understanding of CBD's control of eCB signaling could potentially be harnessed to identify which epilepsies would most benefit from CBD. Despite the excitement surrounding CBD use in epilepsy, several important questions remain open. It is important to identify if CBD displays anti-seizure effects in more common drug-resistant epilepsies, such as temporal lobe epilepsy. Testing CBD in models of chronic, acquired epilepsy that display the hallmark of dysregulated endocannabinoid signaling is critical for this understanding. It is also unclear if CBD could be harmful to development, as a drug with broad mechanisms of action could influence many developmental trajectories. Regarding THC, an interesting outstanding question is whether CB1 agonism has anti-seizure effects by gating neurotransmitter release 4 or through post-synaptic control of synaptic integration 6. To facilitate answers to these questions and take advantage of modern neuroscience tools, fewer restrictions for access to phytocannabinoids is necessary. None. J.S.F. is funded by a Canadian Institutes of Health Research fellowship. Cannabinoid research in our laboratory is funded by NIH (99457 to I.S.).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.278
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueAddictionSame topicCannabis and Cannabinoid ResearchFrench-language works237,207