Carregant...
Miniatura

Tipus de document

Article

Versió

Versió publicada

Data de publicació

Llicència de publicació

cc by (c) Aso, Ester; Ferrer, Isidro (Ferrer Abizanda), 2014
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/137448

Cannabinoids for treatment of Alzheimer’s disease: moving toward the clinic

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

The limited effectiveness of current therapies against Alzheimer's disease (AD) highlights the need for intensifying research efforts devoted to developing new agents for preventing or retarding the disease process. During the last few years, targeting the endogenous cannabinoid system has emerged as a potential therapeutic approach to treat Alzheimer. The endocannabinoid system is composed by a number of cannabinoid receptors, including the well-characterized CB1 and CB2 receptors, with their endogenous ligands and the enzymes related to the synthesis and degradation of these endocannabinoid compounds. Several findings indicate that the activation of both CB1 and CB2 receptors by natural or synthetic agonists, at non-psychoactive doses, have beneficial effects in Alzheimer experimental models by reducing the harmful β-amyloid peptide action and tau phosphorylation, as well as by promoting the brain's intrinsic repair mechanisms. Moreover, endocannabinoid signaling has been demonstrated to modulate numerous concomitant pathological processes, including neuroinflammation, excitotoxicity, mitochondrial dysfunction, and oxidative stress. The present paper summarizes the main experimental studies demonstrating the polyvalent properties of cannabinoid compounds for the treatment of AD, which together encourage progress toward a clinical trial.

Citació

Citació

ASO PÉREZ, Ester, FERRER, Isidro (ferrer abizanda). Cannabinoids for treatment of Alzheimer’s disease: moving toward the clinic. _Frontiers in Pharmacology_. 2014. Vol. 5, núm. 37. [consulta: 23 de gener de 2026]. ISSN: 1663-9812. [Disponible a: https://hdl.handle.net/2445/137448]

Exportar metadades

JSON - METS

Compartir registre