TY - JOUR
T1 - A Consensus Statement on establishing causality, therapeutic applications and the use of preclinical models in microbiome research
AU - IHMCSA Consortium
AU - Metwaly, Amira
AU - Kriaa, Aicha
AU - Hassani, Zahra
AU - Carraturo, Federica
AU - Druart, Celine
AU - Pinto, Federica
AU - Asnicar, Francesco
AU - Segata, Nicola
AU - Morozova, Vitalina
AU - Sarathi, Arjun
AU - Arumugam, Manimozhayan
AU - Boucher, Katy
AU - Loftus, Saba
AU - Shkoporov, Andrey
AU - Hill, Colin
AU - Joos, Raphaela
AU - Claesson, Marcus
AU - Lavelle, Aonghus
AU - O’Toole, Paul
AU - Ross, Paul
AU - Villesen, Ida Falk
AU - Israelsen, Mads
AU - Krag, Aleksander
AU - Ravaud, Philippe
AU - Boutron, Isabelle
AU - Jarde, Alexander
AU - Rodriguez, Julie
AU - Cordaillat-Simmons, Magali
AU - Betsou, Fay
AU - Prost, Pierre Louis
AU - Pons, Nicolas
AU - Veiga, Patrick
AU - Rhimi, Moez
AU - Silva, Carolina Alves Costa
AU - Derosa, Lisa
AU - Zitvogel, Laurence
AU - Zwart, Hub
AU - Hazenbrink, Diënty Hendrina Maria Johanna
AU - Typas, Nassos
AU - Iyappan, Anandhi
AU - Bork, Peer
AU - Schierwagen, Robert
AU - Godoy, Yolanda
AU - Trebicka, Jonel
AU - Fasano, Alessio
AU - Arnauts, Kaline
AU - Wilmes, Paul
AU - Walter, Jens
AU - Rosshart, Stephan
AU - Desai, Mahesh S.
N1 - Publisher Copyright:
© Springer Nature Limited 2025.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=86000275034&partnerID=8YFLogxK
U2 - 10.1038/s41575-025-01041-3
DO - 10.1038/s41575-025-01041-3
M3 - Article
C2 - 40033063
AN - SCOPUS:86000275034
SN - 1759-5045
JO - Nature Reviews Gastroenterology and Hepatology
JF - Nature Reviews Gastroenterology and Hepatology
M1 - 103
ER -