論文

査読有り
2017年4月

Monitoring ATP dynamics in electrically active white matter tracts

ELIFE
  • Andrea Trevisiol
  • ,
  • Aiman S. Saab
  • ,
  • Ulrike Winkler
  • ,
  • Grit Marx
  • ,
  • Hiromi Imamura
  • ,
  • Wiebke Moebius
  • ,
  • Kathrin Kusch
  • ,
  • Klaus-Armin Nave
  • ,
  • Johannes Hirrlinger

6
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.7554/eLife.24241
出版者・発行元
ELIFE SCIENCES PUBLICATIONS LTD

In several neurodegenerative diseases and myelin disorders, the degeneration profiles of myelinated axons are compatible with underlying energy deficits. However, it is presently impossible to measure selectively axonal ATP levels in the electrically active nervous system. We combined transgenic expression of an ATP-sensor in neurons of mice with confocal FRET imaging and electrophysiological recordings of acutely isolated optic nerves. This allowed us to monitor dynamic changes and activity-dependent axonal ATP homeostasis at the cellular level and in real time. We find that changes in ATP levels correlate well with compound action potentials. However, this correlation is disrupted when metabolism of lactate is inhibited, suggesting that axonal glycolysis products are not sufficient to maintain mitochondrial energy metabolism of electrically active axons. The combined monitoring of cellular ATP and electrical activity is a novel tool to study neuronal and glial energy metabolism in normal physiology and in models of neurodegenerative disorders.

リンク情報
DOI
https://doi.org/10.7554/eLife.24241
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/28414271
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415357
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000400576500001&DestApp=WOS_CPL
URL
http://europepmc.org/abstract/med/28414271
URL
http://orcid.org/0000-0002-1896-0443
ID情報
  • DOI : 10.7554/eLife.24241
  • ISSN : 2050-084X
  • ORCIDのPut Code : 33757927
  • PubMed ID : 28414271
  • PubMed Central 記事ID : PMC5415357
  • Web of Science ID : WOS:000400576500001

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