Approaches to discern if microbiome associations reflect causation in metabolic and immune disorders
Marijana Basic,
Dominique Dardevet,
Peter Michael Abuja,
Silvia Bolsega,
Stéphanie Bornes,
Robert Caesar,
Francesco Maria Calabrese,
Massimo Collino,
Maria De Angelis,
Philippe Gérard,
Miguel Gueimonde,
François Leulier,
Eva Untersmayr,
Evelien Van Rymenant,
Paul De Vos,
Isabelle Savary-Auzeloux
Affiliations
Marijana Basic
Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany
Dominique Dardevet
Human Nutrition Unit, UMR1019, University Clermont Auvergne, INRAE, Clermont-Ferrand, France
Peter Michael Abuja
Diagnostic & Research Centre of Molecular Biomedicine, Institute of Pathology, Medical University of Graz, Graz, Austria
Silvia Bolsega
Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany
Stéphanie Bornes
University Clermont Auvergne, Inrae, VetAgro Sup, Umrf, Aurillac, France
Robert Caesar
The Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Francesco Maria Calabrese
Department of Soil, Plant and Science, “Aldo Moro” University Bari, Bari, Italy
Massimo Collino
Rita Levi-Montalcini Department of Neuroscience, University of Turin, Turin, Italy
Maria De Angelis
Department of Soil, Plant and Science, “Aldo Moro” University Bari, Bari, Italy
Philippe Gérard
INRAE, AgroParisTech, Micalis Institute, Université Paris-Saclay, France
Miguel Gueimonde
Department of Microbiology and Biochemistry of Dairy Products, IPLA-CSIC;Villaviciosa, Spain
François Leulier
Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieure de Lyon, UMR5242 CNRS, Université Claude Bernard-Lyon1, Lyon, France
Eva Untersmayr
Institute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Austria
Evelien Van Rymenant
Flanders Research Institute for Agriculture, Fisheries and Food (Ilvo), Merelbeke, Belgium
Paul De Vos
Immunoendocrinology, Division of Medical Biology, Department of Pathology and Medical Biology, University Medical Center Groningen; Groningen, Netherlands
Isabelle Savary-Auzeloux
Human Nutrition Unit, UMR1019, University Clermont Auvergne, INRAE, Clermont-Ferrand, France
Our understanding of microorganisms residing within our gut and their roles in the host metabolism and immunity advanced greatly over the past 20 years. Currently, microbiome studies are shifting from association and correlation studies to studies demonstrating causality of identified microbiome signatures and identification of molecular mechanisms underlying these interactions. This transformation is crucial for the efficient translation into clinical application and development of targeted strategies to beneficially modulate the intestinal microbiota. As mechanistic studies are still quite challenging to perform in humans, the causal role of microbiota is frequently evaluated in animal models that need to be appropriately selected. Here, we provide a comprehensive overview on approaches that can be applied in addressing causality of host-microbe interactions in five major animal model organisms (Caenorhabditis elegans, Drosophila melanogaster, zebrafish, rodents, and pigs). We particularly focused on discussing methods available for studying the causality ranging from the usage of gut microbiota transfer, diverse models of metabolic and immune perturbations involving nutritional and chemical factors, gene modifications and surgically induced models, metabolite profiling up to culture-based approached. Furthermore, we addressed the impact of the gut morphology, physiology as well as diet on the microbiota composition in various models and resulting species specificities. Finally, we conclude this review with the discussion on models that can be applied to study the causal role of the gut microbiota in the context of metabolic syndrome and host immunity. We hope this review will facilitate important considerations for appropriate animal model selection.