Metabolic impact of polyphenol-rich aronia fruit juice mediated by inflammation status of gut microbiome donors in humanized mouse model.

functional food gastrointestinal microbiome high fat diet inflammation metabolomics

Journal

Frontiers in nutrition
ISSN: 2296-861X
Titre abrégé: Front Nutr
Pays: Switzerland
ID NLM: 101642264

Informations de publication

Date de publication:
2023
Historique:
received: 22 06 2023
accepted: 16 08 2023
medline: 20 9 2023
pubmed: 20 9 2023
entrez: 20 9 2023
Statut: epublish

Résumé

The Humanized mice were generated by colonizing gnotobiotic mice with microbiomes from human donors presenting disparate inflammation levels. Blood and fecal samples were collected throughout the course of an 8-week dietary intervention with either Aronia juice or a carbohydrate-matched beverage alone (2 weeks) or in combination with a high-fat diet to induce inflammation (6 weeks). Samples were analyzed using 16S rRNA gene sequencing (stool) and liquid chromatography-mass spectrometry (serum). We demonstrated transfer of microbiome composition and diversity and metabolic characteristics from humans with low and high inflammation levels to second-generation humanized mice. Aronia supplementation provided robust protection against high-fat diet induced metabolic and microbiome changes that were dependent in part on microbiome donor. Aronia induced increases in bacteria of the These metabolic changes elucidate pathway-specific drivers of reduced inflammation stemming from both Aronia and the gut microbiota.

Sections du résumé

Background UNASSIGNED
The
Method UNASSIGNED
Humanized mice were generated by colonizing gnotobiotic mice with microbiomes from human donors presenting disparate inflammation levels. Blood and fecal samples were collected throughout the course of an 8-week dietary intervention with either Aronia juice or a carbohydrate-matched beverage alone (2 weeks) or in combination with a high-fat diet to induce inflammation (6 weeks). Samples were analyzed using 16S rRNA gene sequencing (stool) and liquid chromatography-mass spectrometry (serum).
Results UNASSIGNED
We demonstrated transfer of microbiome composition and diversity and metabolic characteristics from humans with low and high inflammation levels to second-generation humanized mice. Aronia supplementation provided robust protection against high-fat diet induced metabolic and microbiome changes that were dependent in part on microbiome donor. Aronia induced increases in bacteria of the
Conclusion UNASSIGNED
These metabolic changes elucidate pathway-specific drivers of reduced inflammation stemming from both Aronia and the gut microbiota.

Identifiants

pubmed: 37727634
doi: 10.3389/fnut.2023.1244692
pmc: PMC10505616
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1244692

Informations de copyright

Copyright © 2023 Wilson, Peach, Fausset, Miller, Walk, Yeoman, Bothner and Miles.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Stephanie M G Wilson (SMG)

Department of Food Systems, Nutrition, and Kinesiology, Montana State University, Bozeman, MT, United States.

Jesse T Peach (JT)

Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, United States.

Hunter Fausset (H)

Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, United States.

Zachary T Miller (ZT)

Department of Research Centers, Montana State University, Bozeman, MT, United States.

Seth T Walk (ST)

Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, United States.

Carl J Yeoman (CJ)

Department of Animal and Range Sciences, Montana State University, Bozeman, MT, United States.

Brian Bothner (B)

Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, United States.

Mary P Miles (MP)

Department of Food Systems, Nutrition, and Kinesiology, Montana State University, Bozeman, MT, United States.

Classifications MeSH