Dietary patterns encompass a diverse array of molecules foreign to the body. Upon ingestion and digestion, these nutrients undergo transformation by the trillions of microorganisms residing in our gastrointestinal tract, which in turn alters the chemical structures of these compounds, affecting their lifespan, bioavailability, and biological effects. Consequently, dietary patterns modulate the gut microbiome, influencing its functions and the production of gut microbial metabolites (GMMs). These GMMs, in turn, play a critical role in regulating gut homeostasis and determining the risk of intestinal disease. To address this complex challenge, we utilize various OMICS approaches. Our research first explores food-gut microbiota interactions by integrating in vitro models, in vivo studies, and omics techniques. We also replicate the gut microenvironment using 3D and 2D intestinal models that accurately represent intestinal homeostasis. Unraveling food-gut microbiome-intestinal interactions promises to pave the way for advancements in personalized nutrition.

Besides directly measuring microbial metabolites, quantitative metabolomics enables the investigation of the effects of the microbiome on the broader metabolic picture of the host. In my talk, I will present examples of applications of metabolomics in various sample matrices and how to use this powerful tool to study the effects of the microbiome on the host.