Bridging preclinical and clinical gut microbiota research using the 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 , 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 , RD boosted , while 2'FL specifically increased and . In line with metabolic capabilities of these taxa, specific SCFA (short-chain fatty acids) were produced thus providing insights that cannot be obtained 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 ) can be integrated, other technical aspects of the SIFR technology are a high technical reproducibility, and most importantly, a sustained similarity between the and original microbiota.

DISCUSSION

By accurately predicting 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.Graphical Abstract.