Cargando…

Linking a genetic defect in migraine to spreading depression in a computational model

Familial hemiplegic migraine (FHM) is a rare subtype of migraine with aura. A mutation causing FHM type 3 (FHM3) has been identified in SCN1A encoding the Nav1.1 Na(+) channel. This genetic defect affects the inactivation gate. While the Na(+) tail currents following voltage steps are consistent wit...

Descripción completa

Detalles Bibliográficos
Autores principales: Dahlem, Markus A., Schumacher, Julia, Hübel, Niklas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017887/
https://www.ncbi.nlm.nih.gov/pubmed/24860703
http://dx.doi.org/10.7717/peerj.379
_version_ 1782480021824208896
author Dahlem, Markus A.
Schumacher, Julia
Hübel, Niklas
author_facet Dahlem, Markus A.
Schumacher, Julia
Hübel, Niklas
author_sort Dahlem, Markus A.
collection PubMed
description Familial hemiplegic migraine (FHM) is a rare subtype of migraine with aura. A mutation causing FHM type 3 (FHM3) has been identified in SCN1A encoding the Nav1.1 Na(+) channel. This genetic defect affects the inactivation gate. While the Na(+) tail currents following voltage steps are consistent with both hyperexcitability and hypoexcitability, in this computational study, we investigate functional consequences beyond these isolated events. Our extended Hodgkin–Huxley framework establishes a connection between genotype and cellular phenotype, i.e., the pathophysiological dynamics that spans over multiple time scales and is relevant to migraine with aura. In particular, we investigate the dynamical repertoire from normal spiking (milliseconds) to spreading depression and anoxic depolarization (tens of seconds) and show that FHM3 mutations render gray matter tissue more vulnerable to spreading depression despite opposing effects associated with action potential generation. We conclude that the classification in terms of hypoexcitability vs. hyperexcitability is too simple a scheme. Our mathematical analysis provides further basic insight into also previously discussed criticisms against this scheme based on psychophysical and clinical data.
format Online
Article
Text
id pubmed-4017887
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher PeerJ Inc.
record_format MEDLINE/PubMed
spelling pubmed-40178872014-05-23 Linking a genetic defect in migraine to spreading depression in a computational model Dahlem, Markus A. Schumacher, Julia Hübel, Niklas PeerJ Computational Biology Familial hemiplegic migraine (FHM) is a rare subtype of migraine with aura. A mutation causing FHM type 3 (FHM3) has been identified in SCN1A encoding the Nav1.1 Na(+) channel. This genetic defect affects the inactivation gate. While the Na(+) tail currents following voltage steps are consistent with both hyperexcitability and hypoexcitability, in this computational study, we investigate functional consequences beyond these isolated events. Our extended Hodgkin–Huxley framework establishes a connection between genotype and cellular phenotype, i.e., the pathophysiological dynamics that spans over multiple time scales and is relevant to migraine with aura. In particular, we investigate the dynamical repertoire from normal spiking (milliseconds) to spreading depression and anoxic depolarization (tens of seconds) and show that FHM3 mutations render gray matter tissue more vulnerable to spreading depression despite opposing effects associated with action potential generation. We conclude that the classification in terms of hypoexcitability vs. hyperexcitability is too simple a scheme. Our mathematical analysis provides further basic insight into also previously discussed criticisms against this scheme based on psychophysical and clinical data. PeerJ Inc. 2014-05-08 /pmc/articles/PMC4017887/ /pubmed/24860703 http://dx.doi.org/10.7717/peerj.379 Text en © 2014 Dahlem et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Computational Biology
Dahlem, Markus A.
Schumacher, Julia
Hübel, Niklas
Linking a genetic defect in migraine to spreading depression in a computational model
title Linking a genetic defect in migraine to spreading depression in a computational model
title_full Linking a genetic defect in migraine to spreading depression in a computational model
title_fullStr Linking a genetic defect in migraine to spreading depression in a computational model
title_full_unstemmed Linking a genetic defect in migraine to spreading depression in a computational model
title_short Linking a genetic defect in migraine to spreading depression in a computational model
title_sort linking a genetic defect in migraine to spreading depression in a computational model
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017887/
https://www.ncbi.nlm.nih.gov/pubmed/24860703
http://dx.doi.org/10.7717/peerj.379
work_keys_str_mv AT dahlemmarkusa linkingageneticdefectinmigrainetospreadingdepressioninacomputationalmodel
AT schumacherjulia linkingageneticdefectinmigrainetospreadingdepressioninacomputationalmodel
AT hubelniklas linkingageneticdefectinmigrainetospreadingdepressioninacomputationalmodel