| Title |
Cannabinoid CB2 receptor ligand profiling reveals biased signalling and off-target activity
|
|---|---|
| Published in |
Nature Communications, January 2017
|
| DOI | 10.1038/ncomms13958 |
| Pubmed ID | |
| Authors |
Marjolein Soethoudt, Uwe Grether, Jürgen Fingerle, Travis W. Grim, Filomena Fezza, Luciano de Petrocellis, Christoph Ullmer, Benno Rothenhäusler, Camille Perret, Noortje van Gils, David Finlay, Christa MacDonald, Andrea Chicca, Marianela Dalghi Gens, Jordyn Stuart, Henk de Vries, Nicolina Mastrangelo, Lizi Xia, Georgios Alachouzos, Marc P. Baggelaar, Andrea Martella, Elliot D. Mock, Hui Deng, Laura H. Heitman, Mark Connor, Vincenzo Di Marzo, Jürg Gertsch, Aron H. Lichtman, Mauro Maccarrone, Pal Pacher, Michelle Glass, Mario van der Stelt |
| Abstract |
The cannabinoid CB2 receptor (CB2R) represents a promising therapeutic target for various forms of tissue injury and inflammatory diseases. Although numerous compounds have been developed and widely used to target CB2R, their selectivity, molecular mode of action and pharmacokinetic properties have been poorly characterized. Here we report the most extensive characterization of the molecular pharmacology of the most widely used CB2R ligands to date. In a collaborative effort between multiple academic and industry laboratories, we identify marked differences in the ability of certain agonists to activate distinct signalling pathways and to cause off-target effects. We reach a consensus that HU910, HU308 and JWH133 are the recommended selective CB2R agonists to study the role of CB2R in biological and disease processes. We believe that our unique approach would be highly suitable for the characterization of other therapeutic targets in drug discovery research. |
Login to access the Attention Digest and the Sentiment Analysis related to this output.
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 26% |
| United Kingdom | 2 | 11% |
| Hungary | 1 | 5% |
| Australia | 1 | 5% |
| Switzerland | 1 | 5% |
| Netherlands | 1 | 5% |
| France | 1 | 5% |
| Unknown | 7 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 58% |
| Scientists | 6 | 32% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 408 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 66 | 16% |
| Researcher | 53 | 13% |
| Student > Master | 51 | 12% |
| Student > Bachelor | 47 | 11% |
| Other | 22 | 5% |
| Other | 64 | 16% |
| Unknown | 107 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 64 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 51 | 12% |
| Agricultural and Biological Sciences | 44 | 11% |
| Chemistry | 34 | 8% |
| Neuroscience | 25 | 6% |
| Other | 63 | 15% |
| Unknown | 129 | 31% |