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Brassica microgreens shape gut microbiota and functional metabolite profiles in a species-related manner: A multi-omics approach following in vitro gastrointestinal digestion and large intestine fermentation

  • Pascual García-Pérez
  • , Merve Tomas
  • , Gianluca Giuberti
  • , Esra Capanoglu
  • , Maria Luisa Callegari*
  • , Luigi Lucini
  • , Vania Patrone
  • *Corresponding author for this work
  • Catholic University of the Sacred Heart
  • University of Murcia

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Brassicaceae microgreens constitute a novel and promising source of bioactive compounds, such as polyphenols and glucosinolates. In this work, an integrative computational approach was performed to decipher the interaction between bioaccessible microgreen metabolites and human gut bacteria. To this end, in vitro gastrointestinal digestion and large intestine fermentation were performed on eight different microgreens, which were further subjected to a dual high-throughput approach that combined fecal metagenomics and untargeted metabolomics. Data reveal a significant correlation between Parabacteroides merdae and two isothiocyanates in arugula fermentates, suggesting a high bioaccessibility of these bioactive compounds. Meanwhile, two species of Roseburia were correlated with pseudooxynicotine, an anti-inflammatory catabolite of nicotine in Brassica oleracea fermentates (such as broccoli, Brussels sprouts, and red cabbage), coupled with an increase in short-chain fatty acid production. These findings confer evidence on the nutritional impact of microgreens consumption, revealing the most bioaccessible metabolites with associated health-promoting properties together with their participation in the shaping of gut microbial populations, possibly leading to prebiotic effects.

Original languageEnglish
Article number128226
JournalMicrobiological Research
Volume298
DOIs
Publication statusPublished - Sept 2025

Bibliographical note

Publisher Copyright:
© 2025 The Authors

Keywords

  • Bioactive compounds
  • Cruciferous vegetables
  • Gut microbiota
  • Machine learning
  • Metabolomics
  • Metagenomics

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