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Astroglial glucose uptake determines brain FDG-PET alterations and metabolic connectivity during healthy aging in mice

Authors :
Laura M. Bartos
Sebastian T. Kunte
Stephan Wagner
Philipp Beumers
Rebecca Schaefer
Artem Zatcepin
Yunlei Li
Maria Griessl
Leonie Hoermann
Karin Wind-Mark
Peter Bartenstein
Sabina Tahirovic
Sibylle Ziegler
Matthias Brendel
Johannes Gnörich
Source :
NeuroImage, Vol 300, Iss , Pp 120860- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Purpose: 2-Fluorodeoxyglucose-PET (FDG-PET) is a powerful tool to study glucose metabolism in mammalian brains, but cellular sources of glucose uptake and metabolic connectivity during aging are not yet understood. Methods: Healthy wild-type mice of both sexes (2–21 months of age) received FDG-PET and cell sorting after in vivo tracer injection (scRadiotracing). FDG uptake per cell was quantified in isolated microglia, astrocytes and neurons. Cerebral FDG uptake and metabolic connectivity were determined by PET. A subset of mice received measurement of blood glucose levels to study associations with cellular FDG uptake during aging. Results: Cerebral FDG-PET signals in healthy mice increased linearly with age. Cellular FDG uptake of neurons increased between 2 and 12 months of age, followed by a strong decrease towards late ages. Contrarily, FDG uptake in microglia and astrocytes exhibited a U-shaped function with respect to age, comprising the predominant cellular source of higher cerebral FDG uptake in the later stages. Metabolic connectivity was closely associated with the ratio of glucose uptake in astroglial cells relative to neurons. Cellular FDG uptake was not associated with blood glucose levels and increasing FDG brain uptake as a function of age was still observed after adjusting for blood glucose levels. Conclusion: Trajectories of astroglial glucose uptake drive brain FDG-PET alterations and metabolic connectivity during aging.

Details

Language :
English
ISSN :
10959572
Volume :
300
Issue :
120860-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.6ad8c2cc1652412cb7dcfc4fe4dea2b3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2024.120860