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

Amira Metwaly, Aicha Kriaa, Zahra Hassani, Federica Carraturo, Celine Druart, Federica Pinto, Francesco Asnicar, Nicola Segata, Vitalina Morozova, Arjun Sarathi, Manimozhayan Arumugam, Katy Boucher, Saba Loftus, Andrey Shkoporov, Colin Hill, Raphaela Joos, Marcus Claesson, Aonghus Lavelle, Paul O’Toole, Paul RossIda Falk Villesen, Mads Israelsen, Aleksander Krag, Philippe Ravaud, Isabelle Boutron, Alexander Jarde, Julie Rodriguez, Magali Cordaillat-Simmons, Fay Betsou, Pierre Louis Prost, Nicolas Pons, Patrick Veiga, Moez Rhimi, Carolina Alves Costa Silva, Lisa Derosa, Laurence Zitvogel, Hub Zwart, Diënty Hendrina Maria Johanna Hazenbrink, Nassos Typas, Anandhi Iyappan, Peer Bork, Robert Schierwagen, Yolanda Godoy, Jonel Trebicka, Alessio Fasano, Kaline Arnauts, Paul Wilmes, Jens Walter, Stephan Rosshart, Mahesh S. Desai, IHMCSA Consortium, Dirk Haller*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-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
Early online date3 Mar 2025
DOIs
Publication statusPublished - May 2025

Keywords

  • Humans
  • Gastrointestinal Microbiome/physiology
  • Animals
  • Consensus
  • Delphi Technique
  • Disease Models, Animal
  • Dysbiosis

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