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

The FASEB Journal 2024 7 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Jacob Lessard‐Lord, Charlène Roussel, Joseph Lupien‐Meilleur, Charlène Roussel, Benjamin Gosselin‐Cliche, Benjamin Gosselin‐Cliche, Charlène Roussel, Cristoforo Silvestri, Charlène Roussel, Vincenzo Di Marzo, Denis Roy, Elsa Rousseau, Yves Desjardins

Summary

This study developed fluid dynamics models using ordinary differential equations to simulate how compounds move through in vitro gut fermentation systems, helping distinguish true microbial metabolism from physical dilution. The models were validated against two commonly used in vitro systems to improve interpretation of dietary compound fate studies.

Study Type In vitro

Abstract In 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 r 2 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.

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