A multiscale electro-metabolic model of a rat neocortical circuit reveals the impact of ageing on central cortical layers DOI Creative Commons
Sofia Farina, Alessandro Cattabiani, Darshan Mandge

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

Abstract The high energetic demands of the brain arise primarily from neuronal activity. Neurons consume substantial energy to transmit information as electrical signals and maintain their resting membrane potential. These requirements are met by neuro-glial-vascular (NGV) ensemble, which generates in a coupled metabolic process. In ageing, function becomes impaired, producing less and, consequently, system is unable sustain needs. We propose multiscale model electro-metabolic coupling reconstructed rat neocortex. This combines an electro-morphologically electrophysiological with detailed NGV model. Our results demonstrate that large-scale effectively captures processes at circuit level, highlighting importance heterogeneity within circuit, where vary according characteristics. Finally, our indicates middle cortical layers particularly vulnerable impairment.

Language: Английский

Neuroinflammation and energy metabolism: a dual perspective on ischemic stroke DOI Creative Commons
Lei Wen, Hao Zhuang, Weiyi Huang

et al.

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: April 10, 2025

Ischemic stroke is a prevalent form of cerebrovascular accident, with its pathogenesis involving the intricate interplay between neuroinflammation and energy metabolism. Cerebral ischemia disrupts oxygen supply, triggering metabolic dysregulation activating neuroinflammatory responses, ultimately resulting in cellular damage. This review provides an exhaustive analysis complex mechanisms ischemic stroke, particular focus on interaction The interruption supply due to cerebral initiates activates including release inflammatory cytokines activation immune cells, contributing damage further disturbances. Studies indicate that metabolism significantly impairs neural cell function interacts neuroinflammation, exacerbating brain injury. Therapeutic strategies primarily concentrate modulating suppressing emphasizing importance in-depth research into their provide theoretical foundation for new treatment stroke. Future should how balance anti-inflammatory regulation minimize promote recovery.

Language: Английский

Citations

1

Brain Glycogen—Its Metabolic Role in Neuronal Health and Neurological Disorders—An Extensive Narrative Review DOI Creative Commons
Ana Isabel Beltrán-Velasco

Metabolites, Journal Year: 2025, Volume and Issue: 15(2), P. 128 - 128

Published: Feb. 13, 2025

Background: Brain glycogen is imperative for neuronal health, as it supports energy demands and metabolic processes. This review examines the pathways involved in storage utilization central nervous system, emphasizing their role both physiology pathology. It explores how alterations metabolism contribute to neurological disorders, including neurodegenerative diseases, epilepsy, conditions while highlighting bidirectional interaction between neurons glia maintaining brain homeostasis. Methods: A comprehensive search of articles published 2015 2025 was conducted using following databases: ScienceDirect, Scopus, Wiley, Web Science, Medline, PubMed. The selection relevant studies based on focus its conditions, with that did not meet inclusion criteria being excluded. Results: processes are subject rigorous regulation by astrocyte-neuron interactions, thereby ensuring homeostasis availability. dysregulation mobilization has been implicated development synaptic dysfunction, excitotoxicity, neurodegeneration a variety disorders. For instance, aberrant accumulation diseases such Lafora disease associated severe neurodegeneration, impaired shown exacerbate deficits Alzheimer's epilepsy. Conclusions: Targeting represents promising approach therapeutic intervention However, translation these strategies human models remains challenging, particularly regard long-term safety specificity glycogen-targeted therapies.

Language: Английский

Citations

0

Unraveling the cGAS-STING pathway in Alzheimer’s disease: A new Frontier in neuroinflammation and therapeutic strategies DOI
Arshdeep Kaur, Khadga Raj Aran

Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

A multiscale electro-metabolic model of a rat neocortical circuit reveals the impact of ageing on central cortical layers DOI Creative Commons
Sofia Farina, Alessandro Cattabiani, Darshan Mandge

et al.

PLoS Computational Biology, Journal Year: 2025, Volume and Issue: 21(5), P. e1013070 - e1013070

Published: May 20, 2025

The high energetic demands of the brain arise primarily from neuronal activity. Neurons consume substantial energy to transmit information as electrical signals and maintain their resting membrane potential. These requirements are met by neuro-glial-vascular (NGV) ensemble, which generates in a coupled metabolic process. In ageing, function becomes impaired, producing less and, consequently, system is unable sustain needs. We propose multiscale model electro-metabolic coupling reconstructed rat neocortex. This combines an electro-morphologically electrophysiological with detailed NGV model. Our results demonstrate that large-scale effectively captures processes at circuit level, highlighting importance heterogeneity within circuit, where vary according characteristics. Finally, our indicates middle cortical layers particularly vulnerable impairment.

Language: Английский

Citations

0

A Neurocognitive Shift in Midlife: Linking Cognitive Flexibility and Functional-Metabolic Adaptation with the SENECA model DOI Creative Commons
Clément Guichet, Sophie Achard, Martial Mermillod

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: May 21, 2025

Abstract Cognitive flexibility in the human brain engages dynamic interactions between Default Mode Network (DMN) and Fronto-Parietal (FPN), a functional architecture that is metabolically demanding thus potentially susceptible to age-related decline. How aging reorganizes its sustain cognitive under metabolic constraints remains an open question. In this study, we modeled resting-state across adult lifespan (ages 18–88) using structural balance theory. Our findings align with predictions of SENECA model ( Synergistic, Economical, Nonlinear, Emergent, Aging ), revealing midlife neurocognitive transition: (i) from costly, flexible DMN-FPN architecture, toward (ii) more redundant configuration dominated by low-cost, sensory-driven interactions. The medio-parietal DMN Cingulo-Opercular (CON) are crucial transition, contributing maintain global activity near critical regime older adulthood optimizes for face declining resources. These advance theoretical methodological framework understanding underscore importance multimodal fMRI-PET studies midlife. They also promising avenues translational applications neuropathology. Graphical abstract

Language: Английский

Citations

0

A multiscale electro-metabolic model of a rat neocortical circuit reveals the impact of ageing on central cortical layers DOI Creative Commons
Sofia Farina, Alessandro Cattabiani, Darshan Mandge

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

Abstract The high energetic demands of the brain arise primarily from neuronal activity. Neurons consume substantial energy to transmit information as electrical signals and maintain their resting membrane potential. These requirements are met by neuro-glial-vascular (NGV) ensemble, which generates in a coupled metabolic process. In ageing, function becomes impaired, producing less and, consequently, system is unable sustain needs. We propose multiscale model electro-metabolic coupling reconstructed rat neocortex. This combines an electro-morphologically electrophysiological with detailed NGV model. Our results demonstrate that large-scale effectively captures processes at circuit level, highlighting importance heterogeneity within circuit, where vary according characteristics. Finally, our indicates middle cortical layers particularly vulnerable impairment.

Language: Английский

Citations

0