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Nature Neuroscience
Article . 2008 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Seizure termination by acidosis depends on ASIC1a

Authors: Adam E, Ziemann; Mikael K, Schnizler; Gregory W, Albert; Meryl A, Severson; Matthew A, Howard; Michael J, Welsh; John A, Wemmie;

Seizure termination by acidosis depends on ASIC1a

Abstract

Most seizures stop spontaneously; however, the molecular mechanisms that terminate seizures remain unknown. Observations that seizures reduced brain pH and that acidosis inhibited seizures indicate that acidosis halts epileptic activity. Because acid-sensing ion channel 1a (ASIC1a) is exquisitely sensitive to extracellular pH and regulates neuron excitability, we hypothesized that acidosis might activate ASIC1a, which would terminate seizures. Disrupting mouse ASIC1a increased the severity of chemoconvulsant-induced seizures, whereas overexpressing ASIC1a had the opposite effect. ASIC1a did not affect seizure threshold or onset, but shortened seizure duration and prevented seizure progression. CO2 inhalation, long known to lower brain pH and inhibit seizures, required ASIC1a to interrupt tonic-clonic seizures. Acidosis activated inhibitory interneurons through ASIC1a, suggesting that ASIC1a might limit seizures by increasing inhibitory tone. Our results identify ASIC1a as an important element in seizure termination when brain pH falls and suggest both a molecular mechanism for how the brain stops seizures and new therapeutic strategies.

Keywords

Male, Mice, Knockout, Analysis of Variance, Kainic Acid, Patch-Clamp Techniques, Behavior, Animal, Electroencephalography, Nerve Tissue Proteins, Carbon Dioxide, Hydrogen-Ion Concentration, Hippocampus, Membrane Potentials, Acid Sensing Ion Channels, Mice, Animals, Newborn, Interneurons, Animals, Pentylenetetrazole, Female, Acidosis

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selected citations
These citations are derived from selected sources.
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!
354
Top 1%
Top 1%
Top 1%
bronze