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Enregistrement W2907218054 · doi:10.1111/add.14540

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

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

Notice bibliographique

RevueAddiction · 2018
Typeeditorial
Langueen
DomaineMedicine
ThématiqueCannabis and Cannabinoid Research
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute of Neurological Disorders and StrokeCanadian Institutes of Health ResearchNational Institutes of Health
Mots-clésEndocannabinoid systemCannabidiolCannabinoid receptorCannabinoidNeuroscienceSynthetic cannabinoidsEpilepsyCannabisPharmacology2-ArachidonoylglycerolMedicineReceptorPsychologyPsychiatryInternal medicine

Résumé

récupéré en direct d'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.).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,089
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,278
Écart entre enseignants0,272 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2018
Routes d'admission2
Résumé présentoui

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