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Early-Onset Epileptic Encephalopathy Caused by Gain-of-Function Mutations in the Voltage Sensor of K v 7.2 and K v 7.3 Potassium Channel Subunits

Authors: Miceli Francesco; Soldovieri Maria Virginia; Ambrosino Paolo; De Maria Michela; Migliore Michele; Migliore Rosanna; Taglialatela Maurizio;

Early-Onset Epileptic Encephalopathy Caused by Gain-of-Function Mutations in the Voltage Sensor of K v 7.2 and K v 7.3 Potassium Channel Subunits

Abstract

Mutations in K v 7.2 ( KCNQ2 ) and K v 7.3 ( KCNQ3 ) genes, encoding for voltage-gated K + channel subunits underlying the neuronal M-current, have been associated with a wide spectrum of early-onset epileptic disorders ranging from benign familial neonatal seizures to severe epileptic encephalopathies. The aim of the present work has been to investigate the molecular mechanisms of channel dysfunction caused by voltage-sensing domain mutations in K v 7.2 (R144Q, R201C, and R201H) or K v 7.3 (R230C) recently found in patients with epileptic encephalopathies and/or intellectual disability. Electrophysiological studies in mammalian cells transfected with human K v 7.2 and/or K v 7.3 cDNAs revealed that each of these four mutations stabilized the activated state of the channel, thereby producing gain-of-function effects, which are opposite to the loss-of-function effects produced by previously found mutations. Multistate structural modeling revealed that the R201 residue in K v 7.2, corresponding to R230 in K v 7.3, stabilized the resting and nearby voltage-sensing domain states by forming an intricate network of electrostatic interactions with neighboring negatively charged residues, a result also confirmed by disulfide trapping experiments. Using a realistic model of a feedforward inhibitory microcircuit in the hippocampal CA1 region, an increased excitability of pyramidal neurons was found upon incorporation of the experimentally defined parameters for mutant M-current, suggesting that changes in network interactions rather than in intrinsic cell properties may be responsible for the neuronal hyperexcitability by these gain-of-function mutations. Together, the present results suggest that gain-of-function mutations in K v 7.2/3 currents may cause human epilepsy with a severe clinical course, thus revealing a previously unexplored level of complexity in disease pathogenetic mechanisms.

Country
Italy
Keywords

Models, Molecular, Protein Structure, DNA, Complementary, Benign Neonatal, Molecular Sequence Data, CHO Cells, Epileptic encephalopathies, KCNQ3 Potassium Channel, Cricetulus, Models, Complementary, Cricetinae, epileptic encephalopathies, Animals, Humans, KCNQ2 Potassium Channel, Biotinylation, Amino Acid Sequence, Voltage-sensing domain, Epilepsy, Neuroscience (all), Medicine (all), K(v)7 potassium channels, Molecular, DNA, Epileptic encephalopathies; Gating; K<inf>v</inf>7 potassium channels; Mutations; Voltage-sensing domain; Amino Acid Sequence; Animals; Biotinylation; CHO Cells; Cricetinae; Cricetulus; DNA, Complementary; Epilepsy, Benign Neonatal; Humans; KCNQ2 Potassium Channel; KCNQ3 Potassium Channel; Models, Molecular; Molecular Sequence Data; Mutation; Protein Structure, Tertiary; Neuroscience (all); Medicine (all), mutations, Epilepsy, Benign Neonatal, Protein Structure, Tertiary, K<inf>v</inf>7 potassium channels, voltage-sensing domain, gating, Mutation, Gating, Mutations, Tertiary

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
148
Top 1%
Top 10%
Top 1%
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