PubMed Health⌕ Search

PubMed · 12446218

Epilepsy and ionic channels.

Abstract

Ion channels play critical roles in a broad range of physiological processes. In particular, they represent a common basis for the excitable properties of different tissues. Consequently, ion channels of many different types have been implicated in several human genetic disorders of the heart, brain and skeletal muscle. An increasing number of genes encoding neurotransmitter- or voltage-gated ion channel subunits have proved to be mutated in various idiopathic human epilepsies as well as in different animal models. The epilepsies could thus be considered as one of many paroxysmal disorders that are due to mutations in ion channel genes, the so-called channelopathies. However, recent data supported the hypothesis that other genes with different properties could also be responsible for human idiopathic epilepsies, thus opening new and exciting areas of research. Effort is still needed to identify the genes responsible for the large variety of other epileptic disorders inherited as Mendelian traits and evaluate the role of these genes in the more common and polygenic forms. Defining the genetic bases of the latter will also require that exhaustive association studies are performed. These studies may help understand the pathophysiology of human epilepsies and represent the first step towards the discovery of new therapeutic targets, as exemplified in the case of the KCNQ potassium channels.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Patrice Roll, Pierre Szepetowski. 2002. Epilepsy and ionic channels.. https://pubmed.ncbi.nlm.nih.gov/12446218/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Histone H3K9 methyltransferases regulate cortical growth by coordinating heterochromatin formation and neural progenitor dynamics.

DNA packaging into heterochromatin is a fundamental mechanism of transcriptional silencing, yet its role in regulating neural progenitor behavior during brain development remains poorly understood. Trimethylation of histone H3 lysine 9 (H3K9me3), catalyzed by the methyltransferases SETDB1, SUV39H1, and SUV39H2, is a defining feature of heterochromatin, but functional redundancy among these enzymes has obscured their developmental roles. Here, we generated a cortex-specific triple knockout mouse model lacking Setdb1, Suv39h1, and Suv39h2 to directly interrogate H3K9me3 function during corticogenesis. Combined loss of H3K9 methyltransferases caused genome-wide depletion of H3K9me3, disruption of neural progenitor cell-cycle progression, and impaired cortical neurogenesis, resulting in microcephaly. H3K9 methyltransferases preserve neural progenitor identity and function by silencing clustered protocadherins, meiosis-associated genes, and a cell-cycle restraint program through H3K9me3 deposition. Loss of H3K9me3 promoted local chromatin opening and increased transcription factor occupancy, enabling transposable elements to acquire cryptic enhancer activity and modulate proximal gene expression. Together, these findings establish H3K9me3 heterochromatin as an active regulator of neural progenitor dynamics and lineage fidelity, revealing a central epigenetic mechanism that restricts aberrant transcriptional programs to ensure cortical growth.

Cerebral Cortex↗

Retrospective diagnosis of congenital cytomegalovirus infection and cortical maldevelopment.

Congenital cytomegalovirus (CMV) infection can cause malformations of cortical development (MCD). It is difficult to establish CMV as a cause of MCD several months postpartum. This can now be done by detection of CMV DNA in dried blood spots (DBS test) on Guthrie cards. The authors used DBS tests to assess 10 patients with MCD of unknown cause. Four of the 10 patients were positive for CMV.

Cerebral Cortex↗

Inability of Lyapunov exponents to predict epileptic seizures.

It has been claimed that Lyapunov exponents computed from electroencephalogram or electrocorticogram (ECoG) time series are useful for early prediction of epileptic seizures. We show, by utilizing a paradigmatic chaotic system, that there are two major obstacles that can fundamentally hinder the predictive power of Lyapunov exponents computed from time series: finite-time statistical fluctuations and noise. A case study with an ECoG signal recorded from a patient with epilepsy is presented.

Cerebral Cortex↗