1. In Silico Assisted Identification, Synthesis, and In Vitro Pharmacological Characterization of Potent and Selective Blockers of the Epilepsy-Associated KCNT1 Channel.
- Author
-
Iraci N, Carotenuto L, Ciaglia T, Belperio G, Di Matteo F, Mosca I, Carleo G, Giovanna Basilicata M, Ambrosino P, Turcio R, Puzo D, Pepe G, Gomez-Monterrey I, Soldovieri MV, Di Sarno V, Campiglia P, Miceli F, Bertamino A, Ostacolo C, and Taglialatela M
- Subjects
- Humans, Potassium Channels, Voltage-Gated metabolism, Potassium Channels, Voltage-Gated antagonists & inhibitors, Potassium Channel Blockers pharmacology, Potassium Channel Blockers chemical synthesis, Potassium Channel Blockers chemistry, Animals, Nerve Tissue Proteins metabolism, Nerve Tissue Proteins antagonists & inhibitors, Nerve Tissue Proteins genetics, Structure-Activity Relationship, HEK293 Cells, Computer Simulation, Potassium Channels, Sodium-Activated, Epilepsy drug therapy, Epilepsy metabolism
- Abstract
Gain-of-function (GoF) variants in KCNT1 channels cause severe, drug-resistant forms of epilepsy. Quinidine is a known KCNT1 blocker, but its clinical use is limited due to severe drawbacks. To identify novel KCNT1 blockers, a homology model of human KCNT1 was built and used to screen an in-house library of compounds. Among the 20 molecules selected, five ( CPK4 , 13 , 16 , 18 , and 20 ) showed strong KCNT1-blocking ability in an in vitro fluorescence-based assay. Patch-clamp experiments confirmed a higher KCNT1-blocking potency of these compounds when compared to quinidine, and their selectivity for KCNT1 over hERG and Kv7.2 channels. Among identified molecules, CPK20 displayed the highest metabolic stability; this compound also blocked KCNT2 currents, although with a lower potency, and counteracted GoF effects prompted by 2 recurrent epilepsy-causing KCNT1 variants (G288S and A934T). The present results provide solid rational basis for future design of novel compounds to counteract KCNT 1-related neurological disorders.
- Published
- 2024
- Full Text
- View/download PDF