Metabolic model predictions enable targeted microbiome manipulation through precision prebiotics.

Caenorhabditis elegans Ochrobactrum vermis MYb71 Pseudomonas lurida MYb11 flux balance analysis genome-scale metabolic models nutritional supplements serine

Journal

Microbiology spectrum
ISSN: 2165-0497
Titre abrégé: Microbiol Spectr
Pays: United States
ID NLM: 101634614

Informations de publication

Date de publication:
17 Jan 2024
Historique:
medline: 17 1 2024
pubmed: 17 1 2024
entrez: 17 1 2024
Statut: aheadofprint

Résumé

While various mechanisms through which the microbiome influences disease processes in the host have been identified, there are still only few approaches that allow for targeted manipulation of microbiome composition as a first step toward microbiome-based therapies. Here, we propose the concept of precision prebiotics that allow to boost the abundance of already resident health-beneficial microbial species in a microbiome. We present a constraint-based modeling pipeline to predict precision prebiotics for a minimal microbial community in the worm

Identifiants

pubmed: 38230938
doi: 10.1128/spectrum.01144-23
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0114423

Auteurs

Georgios Marinos (G)

Research Group Medical Systems Biology, University Hospital Schleswig-Holstein Campus Kiel, Kiel University, Kiel, Schleswig-Holstein, Germany.

Inga K Hamerich (IK)

Research Group Evolutionary Ecology and Genetics, Zoological Institute, Kiel University, Kiel, Schleswig-Holstein, Germany.

Reena Debray (R)

Department of Integrative Biology, University of California, Berkeley, California, USA.

Nancy Obeng (N)

Research Group Evolutionary Ecology and Genetics, Zoological Institute, Kiel University, Kiel, Schleswig-Holstein, Germany.

Carola Petersen (C)

Research Group Evolutionary Ecology and Genetics, Zoological Institute, Kiel University, Kiel, Schleswig-Holstein, Germany.

Jan Taubenheim (J)

Research Group Medical Systems Biology, University Hospital Schleswig-Holstein Campus Kiel, Kiel University, Kiel, Schleswig-Holstein, Germany.

Johannes Zimmermann (J)

Research Group Medical Systems Biology, University Hospital Schleswig-Holstein Campus Kiel, Kiel University, Kiel, Schleswig-Holstein, Germany.
Max-Planck Institute for Evolutionary Biology, Ploen, Schleswig-Holstein, Germany.

Dana Blackburn (D)

Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, Texas, USA.

Buck S Samuel (BS)

Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, Texas, USA.

Katja Dierking (K)

Research Group Evolutionary Ecology and Genetics, Zoological Institute, Kiel University, Kiel, Schleswig-Holstein, Germany.

Andre Franke (A)

Institute of Clinical Molecular Biology, Kiel University, Kiel, Schleswig-Holstein, Germany.

Matthias Laudes (M)

Institute of Diabetes and Clinical Metabolic Research, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Schleswig-Holstein, Germany.

Silvio Waschina (S)

Nutriinformatics, Institute for Human Nutrition and Food Science, Kiel University, Kiel, Schleswig-Holstein, Germany.

Hinrich Schulenburg (H)

Research Group Evolutionary Ecology and Genetics, Zoological Institute, Kiel University, Kiel, Schleswig-Holstein, Germany.
Max-Planck Institute for Evolutionary Biology, Ploen, Schleswig-Holstein, Germany.

Christoph Kaleta (C)

Research Group Medical Systems Biology, University Hospital Schleswig-Holstein Campus Kiel, Kiel University, Kiel, Schleswig-Holstein, Germany.

Classifications MeSH