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A Consensus Statement on establishing causality, therapeutic applications and the use of preclinical models in microbiome research

  • IHMCSA Consortium
  • Harvard University
  • Physiologie des Adaptations Nutritionnelles
  • Technical University of Munich
  • Université Paris-Saclay
  • KPL
  • European Biomedical Research Institute of Salerno (EBRIS)
  • Pharmabiotic Research Institute
  • University of Trento
  • IRCCS Istituto Europeo di Oncologia - Milano
  • University of Copenhagen
  • University of Southern Denmark
  • Université Paris 13
  • Hôpital Hotel Dieu
  • Laboratoire National de Santé
  • Institut Gustave Roussy
  • Center of Clinical Investigations in Biotherapies of Cancer (CICBT)
  • Erasmus University Rotterdam
  • European Molecular Biology Laboratory
  • Goethe University Frankfurt
  • European Foundation for the Study of Chronic Liver Failure (EF-CLIF)
  • University of Münster
  • KU Leuven
  • University of Luxembourg
  • Friedrich-Alexander University Erlangen-Nürnberg
  • University of Freiburg
  • Luxembourg Institute of Health

Research output: Contribution to journalArticlepeer-review

Abstract

The gut microbiome comprises trillions of microorganisms and profoundly influences human health by modulating metabolism, immune responses and neuronal functions. Disruption in gut microbiome composition is implicated in various inflammatory conditions, metabolic disorders and neurodegenerative diseases. However, determining the underlying mechanisms and establishing cause and effect is extremely difficult. Preclinical models offer crucial insights into the role of the gut microbiome in diseases and help identify potential therapeutic interventions. The Human Microbiome Action Consortium initiated a Delphi survey to assess the utility of preclinical models, including animal and cell-based models, in elucidating the causal role of the gut microbiome in these diseases. The Delphi survey aimed to address the complexity of selecting appropriate preclinical models to investigate disease causality and to study host–microbiome interactions effectively. We adopted a structured approach encompassing a literature review, expert workshops and the Delphi questionnaire to gather insights from a diverse range of stakeholders. Experts were requested to evaluate the strengths, limitations, and suitability of these models in addressing the causal relationship between the gut microbiome and disease pathogenesis. The resulting consensus statements and recommendations provide valuable insights for selecting preclinical models in future studies of gut microbiome-related diseases.

Original languageEnglish
Article number103
Pages (from-to)343-356
Number of pages14
JournalNature Reviews Gastroenterology and Hepatology
Volume22
Issue number5
DOIs
Publication statusPublished - May 2025

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