Mathematical modeling of fluid dynamics in in vitro gut fermentation systems: A new tool to improve the interpretation of microbial metabolism

Author:

Lessard‐Lord Jacob123ORCID,Lupien‐Meilleur Joseph124ORCID,Roussel Charlène125ORCID,Gosselin‐Cliche Benjamin6,Silvestri Cristoforo1257ORCID,Di Marzo Vincenzo1257ORCID,Roy Denis124ORCID,Rousseau Elsa128ORCID,Desjardins Yves123ORCID

Affiliation:

1. Institute of Nutrition and Functional Foods (INAF), Faculty of Agriculture and Food Sciences Université Laval Quebec Quebec Canada

2. Nutrition, Health and Society Centre (NUTRISS), INAF Université Laval Quebec Quebec Canada

3. Department of Plant Science, Faculty of Agriculture and Food Sciences Université Laval Quebec Quebec Canada

4. Department of Food Science, Faculty of Agriculture and Food Sciences Université Laval Quebec Quebec Canada

5. Canada Excellence Research Chair on the Microbiome‐Endocannabinoidome Axis in Metabolic Health Université Laval Quebec Quebec Canada

6. Department of Physics CÉGEP Garneau Quebec Quebec Canada

7. Centre de Recherche Universitaire de l'Institut de Cardiologie et Pneumologie de Québec (CRIUCPQ), Department of Medicine, Faculty of Medicine Université Laval Quebec Quebec Canada

8. Department of Computer Science and Software Engineering, Faculty of Science and Engineering Université Laval Quebec Quebec Canada

Abstract

AbstractIn vitro systems are widely employed to assess the impact of dietary compounds on the gut microbiota and their conversion into beneficial bacterial metabolites. However, the complex fluid dynamics and multi‐segmented nature of these systems can complicate the comprehensive analysis of dietary compound fate, potentially confounding physical dilution or washout with microbial catabolism. In this study, we developed fluid dynamics models based on sets of ordinary differential equations to simulate the behavior of an inert compound within two commonly used in vitro systems: the continuous two‐stage PolyFermS system and the semi‐continuous multi‐segmented SHIME® system as well as into various declinations of those systems. The models were validated by investigating the fate of blue dextran, demonstrating excellent agreement between experimental and modeling data (with r2 values ranging from 0.996 to 0.86 for different approaches). As a proof of concept for the utility of fluid dynamics models in in vitro system, we applied generated models to interpret metabolomic data of procyanidin A2 (ProA2) generated from the addition of proanthocyanidin (PAC)‐rich cranberry extract to both the PolyFermS and SHIME® systems. The results suggested ProA2 degradation by the gut microbiota when compared to the modeling of an inert compound. Models of fluid dynamics developed in this study provide a foundation for comprehensive analysis of gut metabolic data in commonly utilized in vitro PolyFermS and SHIME® bioreactor systems and can enable a more accurate understanding of the contribution of bacterial metabolism to the variability in the concentration of target metabolites.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

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