Literature DB >> 14702334

Increased neuronal firing in computer simulations of sodium channel mutations that cause generalized epilepsy with febrile seizures plus.

Jay Spampanato1, Ildiko Aradi, Ivan Soltesz, Alan L Goldin.   

Abstract

Generalized epilepsy with febrile seizures plus (GEFS+) is an autosomal dominant familial syndrome with a complex seizure phenotype. It is caused by mutations in one of 3 voltage-gated sodium channel subunit genes (SCN1B, SCN1A, and SCN2A) and the GABA(A) receptor gamma2 subunit gene (GBRG2). The biophysical characterization of 3 mutations (T875M, W1204R, and R1648H) in SCN1A, the gene encoding the CNS voltage-gated sodium channel alpha subunit Na(v)1.1, demonstrated a variety of functional effects. The T875M mutation enhanced slow inactivation, the W1204R mutation shifted the voltage dependency of activation and inactivation in the negative direction, and the R1648H mutation accelerated recovery from inactivation. To determine how these changes affect neuronal firing, we used the NEURON simulation software to design a computational model based on the experimentally determined properties of each GEFS+ mutant sodium channel and a delayed rectifier potassium channel. The model predicted that W1204R decreased the threshold, T875M increased the threshold, and R1648H did not affect the threshold for firing a single action potential. Despite the different effects on the threshold for firing a single action potential, all of the mutations resulted in an increased propensity to fire repetitive action potentials. In addition, each mutation was capable of driving repetitive firing in a mixed population of mutant and wild-type channels, consistent with the dominant nature of these mutations. These results suggest a common physiological mechanism for epileptogenesis resulting from sodium channel mutations that cause GEFS+.

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Year:  2003        PMID: 14702334     DOI: 10.1152/jn.00982.2003

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  24 in total

Review 1.  Sodium channel mutations in epilepsy and other neurological disorders.

Authors:  Miriam H Meisler; Jennifer A Kearney
Journal:  J Clin Invest       Date:  2005-08       Impact factor: 14.808

2.  A plethora of SCN1A mutations: what can they tell us?

Authors:  Robyn Wallace
Journal:  Epilepsy Curr       Date:  2005 Jan-Feb       Impact factor: 7.500

3.  Fast pseudo-periodic oscillation in the rat brain voltage-gated sodium channel alpha subunit.

Authors:  S Majumdar; S K Sikdar
Journal:  J Membr Biol       Date:  2005-11       Impact factor: 1.843

4.  A conserved ring of charge in mammalian Na+ channels: a molecular regulator of the outer pore conformation during slow inactivation.

Authors:  Wei Xiong; Yousaf Z Farukhi; Yanli Tian; Deborah Disilvestre; Ronald A Li; Gordon F Tomaselli
Journal:  J Physiol       Date:  2006-07-27       Impact factor: 5.182

5.  Seizure-like afterdischarges simulated in a model neuron.

Authors:  H Kager; W J Wadman; G G Somjen
Journal:  J Comput Neurosci       Date:  2007-04       Impact factor: 1.621

6.  Channeling into the epilepsies.

Authors:  Tracey D Graves; Michael G Hanna
Journal:  Epilepsy Curr       Date:  2008 Mar-Apr       Impact factor: 7.500

Review 7.  Computational modeling of epilepsy for an experimental neurologist.

Authors:  Abbey B Holt; Theoden I Netoff
Journal:  Exp Neurol       Date:  2012-05-14       Impact factor: 5.330

Review 8.  Molecular targets for antiepileptic drug development.

Authors:  Brian S Meldrum; Michael A Rogawski
Journal:  Neurotherapeutics       Date:  2007-01       Impact factor: 7.620

9.  Neutralization of a negative charge in the S1-S2 region of the KV7.2 (KCNQ2) channel affects voltage-dependent activation in neonatal epilepsy.

Authors:  Thomas V Wuttke; Johann Penzien; Michael Fauler; Guiscard Seebohm; Frank Lehmann-Horn; Holger Lerche; Karin Jurkat-Rott
Journal:  J Physiol       Date:  2007-11-15       Impact factor: 5.182

Review 10.  Computer modelling of epilepsy.

Authors:  William W Lytton
Journal:  Nat Rev Neurosci       Date:  2008-07-02       Impact factor: 34.870

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