Notice bibliographique
Résumé
Cannabis sativa is possibly the plant with the longest history of cultivation by man (Russo, 2007). It has long been exploited for its fibre; as a biomass converter, it has exceptional utility. For most people, however, there is the association of cannabis with ‘recreational drugs’, which has lead to the profusion of names associated with the plant and extracts thereof (marijuana, hashish, bhang, weed, grass, etc.). The ‘modern’ scientific era of cannabis research was prompted by the discovery of the major psychoactive ingredient in cannabis extracts (Gaoni and Mechoulam, 1964). This was, of course, Δ9-tetrahydrocannabinol or THC. Raphael Mechoulam has numerous publications, filled with seminal observations, including the identification of the two ‘best’ candidates for endogenous cannabinoid molecules: anandamide (Devane et al., 1992) and 2-arachidonoylglycerol (Mechoulam et al., 1995). He has become something of an icon in the cannabis field, with this issue of BJP containing a series of original articles prompted by a symposium held in Jerusalem in November 2010 to celebrate his 80th birthday. The first issue, entitled ‘Cannabinoids in Biology and Medicine’, containing primarily reviews, was published in August 2011 (http://onlinelibrary.wiley.com/doi/10.1111/bph.2011.163.issue-7/issuetoc). Current research in cannabinoid-related areas is vibrant, with the added focus of TRPV1 ion channels, PPAR nuclear receptors and the ‘orphan’ G-protein coupled receptors, GPR18, GPR55 and GPR119, as molecular targets of cannabinoids and cannabinoid-like molecules. Furthermore, the identification of endogenous agonists at cannabinoid receptors which lead to the demonstration of multiple routes for synthesis and transformation of these endocannabinoids has added to the molecular targets available for potential exploitation. The involvement of ‘big pharma’ in cannabinoid research has been intermittent, with Pfizer and Sterling-Winthrop providing the very useful synthetic compounds CP55940 and WIN55212-2 in the 1970s and 1980s, respectively, without being able to translate these pharmacological successes into therapeutic solutions. The limiting factor for these compounds appears to have been the psychoactivity evoked through activation of CNS CB1 cannabinoid receptors. In the 2000s, Sanofi-Aventis achieved a measure of success with the CB1 cannabinoid receptor antagonist/inverse agonist rimonabant (Acomplia®, SR141716A; Sanofi-Aventis, Paris, France) as one of the few pharmacotherapeutic alternatives for obesity. This success was short lived, however (approval was for 2006–2009 in Europe, not approved in the US), through adverse CNS effects in a significant minority of patients. In the clinical setting, therefore, cannabinoids are currently represented by THC itself (dronabinol, Marinol®; Solvay Pharmaceuticals, Brussels, Belgium), a THC analogue (nabilone, Cesamet®; Valeant Pharmaceuticals International, Mississauga, Canada) and THC in combination with other cannabinoids derived from the cannabis plant, notably cannabidiol (Sativex®; GW Pharmaceuticals, London, UK). So where is cannabinoid research likely to go in the 2010s? The answer, as with many other fields of pharmacological/therapeutic interest, lies in the symposia and meetings focused on cannabinoids. Along with symposia on cannabinoids at the Winter meetings of the British Pharmacological Society, five major congresses have taken place since the summer of 2010: Conference on ‘Cannabinoids in Biology and Medicine’, organized by Dr Itai Bab in Jerusalem (Israel) to celebrate the 80th birthday of Dr Raphael Mechoulam, mentioned above 1st Course on ‘Endocannabinoids’, organized by Dr Daniele Piomelli within the Neuroscience School of Advanced Studies in San Quirico d'Orcia (Siena, Italy) Gordon Research Conference on ‘Cannabinoid Function in the CNS’, held in Les Diablerets (Switzerland) with Dr Beat Lutz and Dr Vincenzo Di Marzo as chairs The ‘Cannabinoid Conference 2011’, organized jointly by the International Association for Cannabinoid Medicines (Dr Franjo Grotenhermen) and the European Workshop on Cannabinoids (Dr Andreas Zimmer) at the University of Bonn in Germany The 21st Annual Symposium of the International Cannabinoid Research Society (ICRS) was held in July 2011 in St. Charles (Illinois, USA) As stated on the website (http://www.cannabinoidsociety.org), ‘ICRS is . . . dedicated to scientific research in all fields of the cannabinoids, ranging from biochemical, chemical and physiological studies of the endogenous cannabinoid system to studies of the abuse potential of recreational Cannabis. . . . the main role of the ICRS is to provide an open forum for researchers to meet and discuss their research.’ Such a mission statement was once again a guideline in Pheasant Run, where ∼250 delegates from all around the world discussed the most recent advances in the (endo)cannabinoid field. An important feature of the conference was the attendance by a large number of young scientists (∼150 pre-doctoral and postdoctoral fellows); winners of the pre-doctoral Billy Martin Memorial Award and the postdoctoral J. Michael Walker Memorial Award were, respectively, Martin Sticht from the University of Guelph, Canada (presenting data on the use of a monoacylglycerol lipase inhibitor in studies of nausea-like and vomiting behaviours in shrews and rats), and Douglas McHugh from Indiana University, USA (presenting observations of the role of GPR18 in microglial function in vitro). The scientific programme of the 21st ICRS conference included 60 oral presentations and 114 posters, divided into eight sessions covering the central and peripheral activities of (endo)cannabinoids: (i) learning, memory and pain; (ii) gastrointestinal and cancer; (iii) receptor signalling and structure; (iv) cardiovascular; (v) metabolism; (vi) neurobiology and neurodegenerative disorders; (vii) psychiatric; and (viii) cannabis, human use and addiction. The programme also featured the Symposium on ‘Cannabinoids and HIV Pathogenicity’[chaired by Dr Vishnudutt Purohit and Dr Rao Rapaka from the National Institute on Drug Abuse (NIDA)], and two key lectures that added a special flavour to the field of (endo)cannabinoid research: the Presidential lecture on ‘Huntingtin from Evolution to Pathology’, delivered by Dr Elena Cattaneo (University of Milan, Italy), and the Kang Tsou Memorial lecture, delivered by Dr Sudansu K. Dey (University of Cincinnati, USA). In addition, the meeting hosted the very first continuing medical education course on ‘Cannabinoids in Clinical Practice: Challenges and Opportunities’ (organized by ICRS in collaboration with the Canadian Consortium for the Investigation of Cannabinoids, and the University of California at San Francisco), and the NIDA-sponsored satellite Symposium on ‘Endocannabinoid Metabolic Enzymes and Drug Development’ (organized by Dr Rao Rapaka). As usual, the overall quality of science was really high, with a personal selection of cutting edge topics discussed during the sessions (http://www.icrs2011.org): (i) the characterization of new lead compounds for the development of (full, partial or reverse) agonists/(neutral) antagonists of endocannabinoid-binding receptors, or inhibitors of their metabolic enzymes with potential therapeutic impact (e.g. for cancer, chemotherapy-induced pain, nausea and vomiting, or sleep-wake cycles); (ii) new NMR investigations into the structural properties of these receptors and metabolic enzymes, as well as into their interaction with membrane lipids and regulatory accessory proteins; and (iii) the identification of novel ω-3 fatty acid-derived ethanolamides that might complement (and even potentiate) the biological activity of more classical ω-6 fatty acid-derived endocannabinoids. These suggest that the ICRS still remains the reference forum where all aspects of (endo)cannabinoid research find a place. Therefore, we look forward to another successful year of cannabinoid meetings, particularly ICRS (http://www.icrs2012.org) in Freiburg, Germany. MM and SPHA are Past-President and Secretary of ICRS, a nonprofit organization. Otherwise the authors state no conflict of interest.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,008 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».