Arvanil, olvanil, AM 1172 and LY 2183240 (various cannabinoid CB1 receptor agonists) increase the threshold for maximal electroshock-induced seizures in mice

Abstract

This study identified anticonvulsant effects of arvanil, olvanil, AM 1172 and LY 2183240. The order of the magnitude of the anticonvulsant effects of the examined compounds was following: arvanil>olvanil>AM 1172>LY 2183240.

Distribution of the Cannabinoid Receptor Type 1 in the Brain of the Genetically Audiogenic Seizure-Prone Hamster GASH/Sal

“…The direct relationship between CB1R and the development of seizures in animal epilepsy models is well-documented (Lazarini-Lopes et al, 2020a). CB1R agonists exert anticonvulsant effects (Shafaroodi et al, 2004;Tutka et al, 2018), whereas CB1R antagonists block its anticonvulsant action (Wallace et al, 2002) and potentiate seizure duration and frequency (Muccioli and Lambert, 2005), suggesting that endocannabinoids might be suppressing seizure activity (Wallace et al, 2003). This hypothesis is reinforced by the fact that the activation of CB1 receptors protects against acute clonic and generalized tonicclonic seizures in the pentylenetetrazole model (Bahremand et al, 2008).…”

Divergent Effects of Systemic and Intracollicular CB Receptor Activation Against Forebrain and Hindbrain-Evoked Seizures in Rats

“…The endocannabinoid system has shown promise as a target for seizure control, but there are conflicting reports about the efficacy of cannabinoid (CB) receptor targeting compounds in suppressing seizures (Rosenberg et al, 2017 ). One of the most promising candidates are CB1 receptor agonists, which exert anticonvulsant effects against generalized tonic seizures in the maximal electroshock test (Luszczki et al, 2006 ; Florek-Luszczki et al, 2014b ; Tutka et al, 2018 ), but produce mixed effects against generalized seizures evoked by pentylenetetrazole (Bahremand et al, 2008a ; Andres-Mach et al, 2012 ; Vilela et al, 2013 ; Aghaei et al, 2015 ; Huizenga et al, 2017 ) and limbic seizures in the kainic acid model (Bojnik et al, 2012 ; Shubina et al, 2015 ). These models are characterized by different types of seizures: the former by tonic seizures that critically rely on brainstem networks (Merrill et al, 2003 , 2005 ), and the later by limbic seizures that critically rely on forebrain networks (Browning et al, 1993 ).…”