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Growing a Cystic Fibrosis-Relevant Polymicrobial Biofilm to Probe Community Phenotypes
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Personalized Constraint-Based Modeling of Microbial Communities from Metagenomic Data.

Jordi Roma Pi1, Almut Heinken2

  • 1Inserm UMRS 1256 NGERE, University of Lorraine, Nancy, France.

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|May 19, 2026
PubMed
Summary

This study introduces mgPipe, a system for personalized microbiome modeling using genome-scale metabolic reconstructions. It enables mechanistic simulations of diet-microbiome-host interactions for advancing personalized medicine.

Keywords:
Constraint-Based Reconstruction and AnalysisMetabolismMetagenomicsMicrobiomePersonalized medicineSystems biology

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Area of Science:

  • Microbiome Research
  • Systems Biology
  • Personalized Medicine

Background:

  • High-throughput sequencing reveals microbiome complexity.
  • Predictive models are needed for microbiome-targeted interventions.
  • Constraint-Based Reconstruction and Analysis (COBRA) offers a mechanistic approach.

Purpose of the Study:

  • To present a comprehensive workflow for contextualizing metagenomics data.
  • To enable personalized, mechanistic modeling of microbiome communities.
  • To facilitate simulations of diet-microbiome-host interactions.

Main Methods:

  • Utilized AGORA and AGORA2 databases of human microbial metabolic reconstructions.
  • Developed the DEMETER pipeline for semi-automated refinement of reconstructions.
  • Created the mgPipe analysis pipeline for building and simulating personalized microbiome models.

Main Results:

  • mgPipe allows building personalized microbiome models from metagenomic data.
  • Sample-specific simulations can stratify patients based on microbiome metabolic capabilities.
  • The workflow enables mechanistic simulations of microbiome functions.

Conclusions:

  • The presented workflow provides a powerful tool for microbiome data contextualization.
  • DEMETER and mgPipe empower systems biologists and microbiome scientists.
  • This approach advances the potential for microbiome-based personalized medicine.