From animal models to gut-on-chip: the challenging journey to capture inter-individual variability in chronic digestive disorders

ABSTRACTChronic digestive disorders are of increasing incidence worldwide with expensive treatments and no available cure. Available therapeutic schemes mainly rely on symptom relief, with large degrees of variability in patients’ response to such treatments, underlining the need for new therapeutic...

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Main Authors: Aicha Kriaa, Vincent Mariaule, Charlotte De Rudder, Amin Jablaoui, Harry Sokol, Paul Wilmes, Emmanuelle Maguin, Moez Rhimi
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Gut Microbes
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/19490976.2024.2333434
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author Aicha Kriaa
Vincent Mariaule
Charlotte De Rudder
Amin Jablaoui
Harry Sokol
Paul Wilmes
Emmanuelle Maguin
Moez Rhimi
author_facet Aicha Kriaa
Vincent Mariaule
Charlotte De Rudder
Amin Jablaoui
Harry Sokol
Paul Wilmes
Emmanuelle Maguin
Moez Rhimi
author_sort Aicha Kriaa
collection DOAJ
description ABSTRACTChronic digestive disorders are of increasing incidence worldwide with expensive treatments and no available cure. Available therapeutic schemes mainly rely on symptom relief, with large degrees of variability in patients’ response to such treatments, underlining the need for new therapeutic strategies. There are strong indications that the gut microbiota’s contribution seems to be a key modulator of disease activity and patients’ treatment responses. Hence, efforts have been devoted to understanding host–microbe interactions and the mechanisms underpinning such variability. Animal models, being the gold standard, provide valuable mechanistic insights into host–microbe interactions. However, they are not exempt from limitations prompting the development of alternative methods. Emerging microfluidic technologies and gut-on-chip models were shown to mirror the main features of gut physiology and disease state, reflect microbiota modification, and include functional readouts for studying host responses. In this commentary, we discuss the relevance of animal models in understanding host–microbe interactions and how gut-on-chip technology holds promises for addressing patient variability in responses to chronic digestive disease treatment.
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spelling doaj.art-62375a5b30d64804ad822a73d4724fce2024-03-27T16:39:24ZengTaylor & Francis GroupGut Microbes1949-09761949-09842024-12-0116110.1080/19490976.2024.2333434From animal models to gut-on-chip: the challenging journey to capture inter-individual variability in chronic digestive disordersAicha Kriaa0Vincent Mariaule1Charlotte De Rudder2Amin Jablaoui3Harry Sokol4Paul Wilmes5Emmanuelle Maguin6Moez Rhimi7Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, FranceUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, FranceLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, LuxembourgUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, FranceUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, FranceLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, LuxembourgUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, FranceUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, FranceABSTRACTChronic digestive disorders are of increasing incidence worldwide with expensive treatments and no available cure. Available therapeutic schemes mainly rely on symptom relief, with large degrees of variability in patients’ response to such treatments, underlining the need for new therapeutic strategies. There are strong indications that the gut microbiota’s contribution seems to be a key modulator of disease activity and patients’ treatment responses. Hence, efforts have been devoted to understanding host–microbe interactions and the mechanisms underpinning such variability. Animal models, being the gold standard, provide valuable mechanistic insights into host–microbe interactions. However, they are not exempt from limitations prompting the development of alternative methods. Emerging microfluidic technologies and gut-on-chip models were shown to mirror the main features of gut physiology and disease state, reflect microbiota modification, and include functional readouts for studying host responses. In this commentary, we discuss the relevance of animal models in understanding host–microbe interactions and how gut-on-chip technology holds promises for addressing patient variability in responses to chronic digestive disease treatment.https://www.tandfonline.com/doi/10.1080/19490976.2024.2333434Gut microbiomehost responsetoolsmicrofluidicgut-on-chipanimal models
spellingShingle Aicha Kriaa
Vincent Mariaule
Charlotte De Rudder
Amin Jablaoui
Harry Sokol
Paul Wilmes
Emmanuelle Maguin
Moez Rhimi
From animal models to gut-on-chip: the challenging journey to capture inter-individual variability in chronic digestive disorders
Gut Microbes
Gut microbiome
host response
tools
microfluidic
gut-on-chip
animal models
title From animal models to gut-on-chip: the challenging journey to capture inter-individual variability in chronic digestive disorders
title_full From animal models to gut-on-chip: the challenging journey to capture inter-individual variability in chronic digestive disorders
title_fullStr From animal models to gut-on-chip: the challenging journey to capture inter-individual variability in chronic digestive disorders
title_full_unstemmed From animal models to gut-on-chip: the challenging journey to capture inter-individual variability in chronic digestive disorders
title_short From animal models to gut-on-chip: the challenging journey to capture inter-individual variability in chronic digestive disorders
title_sort from animal models to gut on chip the challenging journey to capture inter individual variability in chronic digestive disorders
topic Gut microbiome
host response
tools
microfluidic
gut-on-chip
animal models
url https://www.tandfonline.com/doi/10.1080/19490976.2024.2333434
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