Neuroimmunological and neuroenergetic aspects in exercise-induced fatigue.


Journal

Exercise immunology review
ISSN: 1077-5552
Titre abrégé: Exerc Immunol Rev
Pays: Germany
ID NLM: 9505535

Informations de publication

Date de publication:
Historique:
entrez: 13 2 2019
pubmed: 13 2 2019
medline: 1 8 2019
Statut: ppublish

Résumé

Feelings of fatigue not only occur in chronic and acute disease states, but also during prolonged strenuous exercise as a symptom of exhaustion. The underlying mechanisms of fatigue in diseases seem to rely on neuroinflammatory pathways. These pathways are interesting to understand exerciseinduced fatigue regarding immune system to brain signaling and effects of cerebral cytokines. Activation of the immune system incurs a high-energy cost, also in the brain. In consequence immune cells have high energetic priority over other tissues, such as neurons. A neuronal inactivation and corresponding changes in neurotransmission can also be induced by end products of ATP metabolism and elicit feelings of fatigue in diseases and after intensive and prolonged exercise bouts. Since there are no existing models of exercise-induced fatigue that specifically address interactions between neuroimmunologic mechanisms and neuroenergetics, this article is combining scientific evidence across a broad range of disciplines in order to propose an inflammation- and energy-based model for exercise-induced fatigue.

Identifiants

pubmed: 30753129

Substances chimiques

Cytokines 0
Adenosine Triphosphate 8L70Q75FXE

Types de publication

Journal Article Review

Langues

eng

Pagination

8-19

Informations de copyright

Copyright © 2019 International Society of Exercise and Immunology. All rights reserved.

Auteurs

Sebastian Proschinger (S)

German Sport University Cologne, Department for Molecular and Cellular Sports Medicine, Am Sportpark Müngersdorf 6, 50933 Cologne, Germany.

Jens Freese (J)

Dr. Freese Institute for Exercise & Nutritional Immunology, Josef-Lammerting-Allee 7-13, 50933 Cologne, Germany.

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Classifications MeSH