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Bridging preclinical and clinical gut microbiota research using the ex vivo SIFR(®) technology

INTRODUCTION: While modulation of the human adult gut microbiota is a trending strategy to improve health, the underlying mechanisms are poorly understood. METHODS: This study aimed to assess the predictive value of the ex vivo, reactor-based, high-throughput SIFR(®) (Systemic Intestinal Fermentatio...

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Autores principales: Van den Abbeele, Pieter, Deyaert, Stef, Thabuis, Clémentine, Perreau, Caroline, Bajic, Danica, Wintergerst, Eva, Joossens, Marie, Firrman, Jenni, Walsh, Dana, Baudot, Aurélien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178071/
https://www.ncbi.nlm.nih.gov/pubmed/37187538
http://dx.doi.org/10.3389/fmicb.2023.1131662
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author Van den Abbeele, Pieter
Deyaert, Stef
Thabuis, Clémentine
Perreau, Caroline
Bajic, Danica
Wintergerst, Eva
Joossens, Marie
Firrman, Jenni
Walsh, Dana
Baudot, Aurélien
author_facet Van den Abbeele, Pieter
Deyaert, Stef
Thabuis, Clémentine
Perreau, Caroline
Bajic, Danica
Wintergerst, Eva
Joossens, Marie
Firrman, Jenni
Walsh, Dana
Baudot, Aurélien
author_sort Van den Abbeele, Pieter
collection PubMed
description INTRODUCTION: While modulation of the human adult gut microbiota is a trending strategy to improve health, the underlying mechanisms are poorly understood. METHODS: This study aimed to assess the predictive value of the ex vivo, reactor-based, high-throughput SIFR(®) (Systemic Intestinal Fermentation Research) technology for clinical findings using three structurally different prebiotics [inulin (IN), resistant dextrin (RD) and 2′-fucosyllactose (2′FL)]. RESULTS: The key finding was that data obtained within 1–2 days were predictive for clinical findings upon repeated prebiotic intake over weeks: among hundreds of microbes, IN stimulated Bifidobacteriaceae, RD boosted Parabacteroides distasonis, while 2′FL specifically increased Bifidobacterium adolescentis and Anaerobutyricum hallii. In line with metabolic capabilities of these taxa, specific SCFA (short-chain fatty acids) were produced thus providing insights that cannot be obtained in vivo where such metabolites are rapidly absorbed. Further, in contrast to using single or pooled fecal microbiota (approaches used to circumvent low throughput of conventional models), working with 6 individual fecal microbiota enabled correlations that support mechanistic insights. Moreover, quantitative sequencing removed the noise caused by markedly increased cell densities upon prebiotic treatment, thus allowing to even rectify conclusions of previous clinical trials related to the tentative selectivity by which prebiotics modulate the gut microbiota. Counterintuitively, not the high but rather the low selectivity of IN caused only a limited number of taxa to be significantly affected. Finally, while a mucosal microbiota (enriched with Lachnospiraceae) can be integrated, other technical aspects of the SIFR(®) technology are a high technical reproducibility, and most importantly, a sustained similarity between the ex vivo and original in vivo microbiota. DISCUSSION: By accurately predicting in vivo results within days, the SIFR(®) technology can help bridge the so-called “Valley of Death” between preclinical and clinical research. Facilitating development of test products with better understanding of their mode of action could dramatically increase success rate of microbiome modulating clinical trials.
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spelling pubmed-101780712023-05-13 Bridging preclinical and clinical gut microbiota research using the ex vivo SIFR(®) technology Van den Abbeele, Pieter Deyaert, Stef Thabuis, Clémentine Perreau, Caroline Bajic, Danica Wintergerst, Eva Joossens, Marie Firrman, Jenni Walsh, Dana Baudot, Aurélien Front Microbiol Microbiology INTRODUCTION: While modulation of the human adult gut microbiota is a trending strategy to improve health, the underlying mechanisms are poorly understood. METHODS: This study aimed to assess the predictive value of the ex vivo, reactor-based, high-throughput SIFR(®) (Systemic Intestinal Fermentation Research) technology for clinical findings using three structurally different prebiotics [inulin (IN), resistant dextrin (RD) and 2′-fucosyllactose (2′FL)]. RESULTS: The key finding was that data obtained within 1–2 days were predictive for clinical findings upon repeated prebiotic intake over weeks: among hundreds of microbes, IN stimulated Bifidobacteriaceae, RD boosted Parabacteroides distasonis, while 2′FL specifically increased Bifidobacterium adolescentis and Anaerobutyricum hallii. In line with metabolic capabilities of these taxa, specific SCFA (short-chain fatty acids) were produced thus providing insights that cannot be obtained in vivo where such metabolites are rapidly absorbed. Further, in contrast to using single or pooled fecal microbiota (approaches used to circumvent low throughput of conventional models), working with 6 individual fecal microbiota enabled correlations that support mechanistic insights. Moreover, quantitative sequencing removed the noise caused by markedly increased cell densities upon prebiotic treatment, thus allowing to even rectify conclusions of previous clinical trials related to the tentative selectivity by which prebiotics modulate the gut microbiota. Counterintuitively, not the high but rather the low selectivity of IN caused only a limited number of taxa to be significantly affected. Finally, while a mucosal microbiota (enriched with Lachnospiraceae) can be integrated, other technical aspects of the SIFR(®) technology are a high technical reproducibility, and most importantly, a sustained similarity between the ex vivo and original in vivo microbiota. DISCUSSION: By accurately predicting in vivo results within days, the SIFR(®) technology can help bridge the so-called “Valley of Death” between preclinical and clinical research. Facilitating development of test products with better understanding of their mode of action could dramatically increase success rate of microbiome modulating clinical trials. Frontiers Media S.A. 2023-04-14 /pmc/articles/PMC10178071/ /pubmed/37187538 http://dx.doi.org/10.3389/fmicb.2023.1131662 Text en Copyright © 2023 Van den Abbeele, Deyaert, Thabuis, Perreau, Bajic, Wintergerst, Joossens, Firrman, Walsh and Baudot. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Van den Abbeele, Pieter
Deyaert, Stef
Thabuis, Clémentine
Perreau, Caroline
Bajic, Danica
Wintergerst, Eva
Joossens, Marie
Firrman, Jenni
Walsh, Dana
Baudot, Aurélien
Bridging preclinical and clinical gut microbiota research using the ex vivo SIFR(®) technology
title Bridging preclinical and clinical gut microbiota research using the ex vivo SIFR(®) technology
title_full Bridging preclinical and clinical gut microbiota research using the ex vivo SIFR(®) technology
title_fullStr Bridging preclinical and clinical gut microbiota research using the ex vivo SIFR(®) technology
title_full_unstemmed Bridging preclinical and clinical gut microbiota research using the ex vivo SIFR(®) technology
title_short Bridging preclinical and clinical gut microbiota research using the ex vivo SIFR(®) technology
title_sort bridging preclinical and clinical gut microbiota research using the ex vivo sifr(®) technology
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178071/
https://www.ncbi.nlm.nih.gov/pubmed/37187538
http://dx.doi.org/10.3389/fmicb.2023.1131662
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