Characterizing the metabolic perturbations induced by activity-based anorexia in the C57Bl/6 mouse using


Journal

Clinical nutrition (Edinburgh, Scotland)
ISSN: 1532-1983
Titre abrégé: Clin Nutr
Pays: England
ID NLM: 8309603

Informations de publication

Date de publication:
08 2020
Historique:
received: 19 08 2019
accepted: 25 10 2019
pubmed: 25 12 2019
medline: 19 8 2021
entrez: 25 12 2019
Statut: ppublish

Résumé

Anorexia nervosa (AN) is a severe psychological and potentially life-threatening eating disorder. The activity-based anorexia (ABA) mouse model is commonly used to investigate physiological abnormalities associated with this disorder. Characterizing the holistic biochemical alterations induced by anorexia is essential to understanding AN pathophysiology as well as to define biomarkers for prognosis. To unravel the adaptive biochemical mechanisms occurring in this model in response to self-starvation, the urinary, plasma and fecal metabolic phenotypes of mice under different experimental conditions were compared. This included control mice with and without physical activity (CT and CTPA mice), a group with limited food access (LFA), and a group with both limited food access and physical activity (ABA). Using Physical activity altered the abundance of 14 fecal metabolites, including those involved in gut microbial metabolism and proteolysis. Food restriction disrupted a wide range of metabolic pathways including gut microbial metabolism, proteolysis and fatty acid breakdown (24 urinary and 6 plasma metabolites). The combined impact of food restriction and physical activity resulted in the same pattern of metabolic disruption (24 urine, 6 plasma). This work defined the metabolic signatures of ABA mice and provides novel insights into biological adaptations of mice in response to both food restriction and physical activity. These results should be further confirmed in AN patients.

Sections du résumé

BACKGROUND & AIMS
Anorexia nervosa (AN) is a severe psychological and potentially life-threatening eating disorder. The activity-based anorexia (ABA) mouse model is commonly used to investigate physiological abnormalities associated with this disorder. Characterizing the holistic biochemical alterations induced by anorexia is essential to understanding AN pathophysiology as well as to define biomarkers for prognosis.
METHODS
To unravel the adaptive biochemical mechanisms occurring in this model in response to self-starvation, the urinary, plasma and fecal metabolic phenotypes of mice under different experimental conditions were compared. This included control mice with and without physical activity (CT and CTPA mice), a group with limited food access (LFA), and a group with both limited food access and physical activity (ABA). Using
RESULTS
Physical activity altered the abundance of 14 fecal metabolites, including those involved in gut microbial metabolism and proteolysis. Food restriction disrupted a wide range of metabolic pathways including gut microbial metabolism, proteolysis and fatty acid breakdown (24 urinary and 6 plasma metabolites). The combined impact of food restriction and physical activity resulted in the same pattern of metabolic disruption (24 urine, 6 plasma).
CONCLUSIONS
This work defined the metabolic signatures of ABA mice and provides novel insights into biological adaptations of mice in response to both food restriction and physical activity. These results should be further confirmed in AN patients.

Identifiants

pubmed: 31870654
pii: S0261-5614(19)33118-8
doi: 10.1016/j.clnu.2019.10.026
pii:
doi:

Substances chimiques

Fatty Acids 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2428-2434

Informations de copyright

Copyright © 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of Interest There is no conflict of interest.

Auteurs

Jonathan Breton (J)

Division of Computational and Systems Medicine, Imperial College London, London, SW7 2AZ, UK. Electronic address: jonathan.breton1@univ-rouen.fr.

Natasa Giallourou (N)

Division of Computational and Systems Medicine, Imperial College London, London, SW7 2AZ, UK.

Severine Nobis (S)

Normandie univ, UNIROUEN, INSERM UMR 1073, Nutrition, Gut and Brain Laboratory, Rouen, France; Normandie univ, UNIROUEN, Institute for Research and Innovation in Biomedicine (IRIB), Rouen, France; Normandie univ, UNIROUEN, Animal Behavioral Platform SCAC, Rouen, France.

Aline Morin (A)

Normandie univ, UNIROUEN, INSERM UMR 1073, Nutrition, Gut and Brain Laboratory, Rouen, France; Normandie univ, UNIROUEN, Institute for Research and Innovation in Biomedicine (IRIB), Rouen, France.

Najate Achamrah (N)

Normandie univ, UNIROUEN, INSERM UMR 1073, Nutrition, Gut and Brain Laboratory, Rouen, France; Normandie univ, UNIROUEN, Institute for Research and Innovation in Biomedicine (IRIB), Rouen, France.

Alexis Goichon (A)

Normandie univ, UNIROUEN, INSERM UMR 1073, Nutrition, Gut and Brain Laboratory, Rouen, France; Normandie univ, UNIROUEN, Institute for Research and Innovation in Biomedicine (IRIB), Rouen, France.

Liliana Belmonte (L)

Normandie univ, UNIROUEN, INSERM UMR 1073, Nutrition, Gut and Brain Laboratory, Rouen, France; Normandie univ, UNIROUEN, Institute for Research and Innovation in Biomedicine (IRIB), Rouen, France.

Pierre Dechelotte (P)

Normandie univ, UNIROUEN, INSERM UMR 1073, Nutrition, Gut and Brain Laboratory, Rouen, France; Normandie univ, UNIROUEN, Institute for Research and Innovation in Biomedicine (IRIB), Rouen, France; Nutrition Department, Rouen University Hospital, Rouen, France.

Jean-Luc do Rego (JD)

Normandie univ, UNIROUEN, Institute for Research and Innovation in Biomedicine (IRIB), Rouen, France; Normandie univ, UNIROUEN, Animal Behavioral Platform SCAC, Rouen, France.

Moïse Coëffier (M)

Normandie univ, UNIROUEN, INSERM UMR 1073, Nutrition, Gut and Brain Laboratory, Rouen, France; Normandie univ, UNIROUEN, Institute for Research and Innovation in Biomedicine (IRIB), Rouen, France; Nutrition Department, Rouen University Hospital, Rouen, France.

Jonathan Swann (J)

Division of Computational and Systems Medicine, Imperial College London, London, SW7 2AZ, UK.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH