Technical and Comparative Aspects of Brain Glycogen Metabolism.

2-deoxyglucose Brain Carbon-13 Glycogen Immunohistochemistry Microwave fixation Radioisotope

Journal

Advances in neurobiology
ISSN: 2190-5215
Titre abrégé: Adv Neurobiol
Pays: United States
ID NLM: 101571545

Informations de publication

Date de publication:
2019
Historique:
entrez: 1 11 2019
pubmed: 2 11 2019
medline: 18 12 2019
Statut: ppublish

Résumé

It has been known for over 50 years that brain has significant glycogen stores, but the physiological function of this energy reserve remains uncertain. This uncertainty stems in part from several technical challenges inherent in the study of brain glycogen metabolism, and may also stem from some conceptual limitations. Factors presenting technical challenges include low glycogen content in brain, non-homogenous labeling of glycogen by radiotracers, rapid glycogenolysis during postmortem tissue handling, and effects of the stress response on brain glycogen turnover. Here, we briefly review aspects of glycogen structure and metabolism that bear on these technical challenges, and discuss ways these can be overcome. We also highlight physiological aspects of glycogen metabolism that limit the conditions under which glycogen metabolism can be useful or advantageous over glucose metabolism. Comparisons with glycogen metabolism in skeletal muscle provide an additional perspective on potential functions of glycogen in brain.

Identifiants

pubmed: 31667809
doi: 10.1007/978-3-030-27480-1_6
doi:

Substances chimiques

Glycogen 9005-79-2

Types de publication

Comparative Study Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

169-185

Auteurs

Long Wu (L)

Department of Neurology, University of California, San Francisco, and San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA.

Nicholas J M Butler (NJM)

Department of Neurology, University of California, San Francisco, and San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA.

Raymond A Swanson (RA)

Department of Neurology, University of California, San Francisco, and San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA. Raymond.swanson@ucsf.edu.

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Classifications MeSH