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dc.contributor.author Acevedo, Alejandro
dc.contributor.author Torres, Felipe
dc.contributor.author Kiwi, Miguel
dc.contributor.author Baeza-Lehnert, Felipe
dc.contributor.author Barros, L. Felipe
dc.contributor.author Lee-Liu, Dasfne
dc.contributor.author González-Billault, Christian
dc.date.accessioned 2024-09-12T03:37:14Z
dc.date.available 2024-09-12T03:37:14Z
dc.date.issued 2023
dc.identifier.issn 1945-4589
dc.identifier.uri https://repositorio.uss.cl/handle/uss/11281
dc.description Publisher Copyright: © 2023 Acevedo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.abstract Dysregulated central-energy metabolism is a hallmark of brain aging. Supplying enough energy for neurotransmission relies on the neuron-astrocyte metabolic network. To identify genes contributing to age-associated brain functional decline, we formulated an approach to analyze the metabolic network by integrating flux, network structure and transcriptomic databases of neurotransmission and aging. Our findings support that during brain aging: (1) The astrocyte undergoes a metabolic switch from aerobic glycolysis to oxidative phosphorylation, decreasing lactate supply to the neuron, while the neuron suffers intrinsic energetic deficit by downregulation of Krebs cycle genes, including mdh1 and mdh2 (Malate-Aspartate Shuttle); (2) Branched-chain amino acid degradation genes were downregulated, identifying dld as a central regulator; (3) Ketone body synthesis increases in the neuron, while the astrocyte increases their utilization, in line with neuronal energy deficit in favor of astrocytes. We identified candidates for preclinical studies targeting energy metabolism to prevent age-associated cognitive decline. en
dc.language.iso eng
dc.relation.ispartof vol. 15 Issue: no. 19 Pages: 9896-9930
dc.source Aging
dc.title Metabolic switch in the aging astrocyte supported via integrative approach comprising network and transcriptome analyses en
dc.type Artículo
dc.identifier.doi 10.18632/aging.204663
dc.publisher.department Facultad de Medicina y Ciencia


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