Combining endocannabinoids with retigabine for enhanced M-channel effect and improved KV7 subtype selectivity

Autor: Johan E, Larsson, Urban, Karlsson, Xiongyu, Wu, Sara I, Liin
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: The Journal of General Physiology
ISSN: 1540-7748
0022-1295
Popis: The anticonvulsant retigabine targets the neuronal M-channel but has adverse clinical effects due to its poor KV7 subtype specificity. Larsson et al. reveal that the selectivity of retigabine is improved by coapplication with the endocannabinoid arachidonoyl-L-serine.
Retigabine is unique among anticonvulsant drugs by targeting the neuronal M-channel, which is composed of KV7.2/KV7.3 and contributes to the negative neuronal resting membrane potential. Unfortunately, retigabine causes adverse effects, which limits its clinical use. Adverse effects may be reduced by developing M-channel activators with improved KV7 subtype selectivity. The aim of this study was to evaluate the prospect of endocannabinoids as M-channel activators, either in isolation or combined with retigabine. Human KV7 channels were expressed in Xenopus laevis oocytes. The effect of extracellular application of compounds with different properties was studied using two-electrode voltage clamp electrophysiology. Site-directed mutagenesis was used to construct channels with mutated residues to aid in the mechanistic understanding of these effects. We find that arachidonoyl-L-serine (ARA-S), a weak endocannabinoid, potently activates the human M-channel expressed in Xenopus oocytes. Importantly, we show that ARA-S activates the M-channel via a different mechanism and displays a different KV7 subtype selectivity compared with retigabine. We demonstrate that coapplication of ARA-S and retigabine at low concentrations retains the effect on the M-channel while limiting effects on other KV7 subtypes. Our findings suggest that improved KV7 subtype selectivity of M-channel activators can be achieved through strategically combining compounds with different subtype selectivity.
Databáze: OpenAIRE