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Updated: Jun 19, 2026

Co-culture of Living Microbiome with Microengineered Human Intestinal Villi in a Gut-on-a-Chip Microfluidic Device
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Gut-on-a-Chip Models: Current and Future Perspectives for Host-Microbial Interactions Research.

Moran Morelli1, Dorota Kurek1, Chee Ping Ng1

  • 1MIMETAS B.V., 2342 DH Oegstgeest, The Netherlands.

Biomedicines
|February 25, 2023
PubMed
Summary

Gut-on-chip models offer a more accurate way to study the human gut microbiome and its role in disease. These advanced models help uncover disease mechanisms and accelerate new treatment development.

Keywords:
disease modelingdrug screeninggut-on-a-chiphost–microbial interactionsmicrobiomemicrofluidicsorgan-on-a-chiporganoids

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Area of Science:

  • Microbiology
  • Human Physiology
  • Biomedical Engineering

Background:

  • The human gut harbors a vast microbial community, the gut microbiome, crucial for health.
  • While correlations between disease and microbiome changes exist, underlying mechanisms remain unclear.
  • Traditional models fail to fully replicate human gut complexity.

Purpose of the Study:

  • To review the potential of gut-on-chip models in understanding host-microbial interactions.
  • To explore how these models can elucidate disease mechanisms linked to the gut microbiome.
  • To discuss the transition from correlational to causal insights in microbiome research.

Main Methods:

  • Organ-on-a-chip technology, specifically gut-on-chip platforms.
  • In vitro modeling of human gut physiology and microbial communities.
  • Analysis of host-microbial interactions within a controlled microenvironment.

Main Results:

  • Gut-on-chip models provide a more physiologically relevant system than traditional models.
  • These models enable detailed mechanistic studies of gut microbiome's role in health and disease.
  • They facilitate the investigation of diverse microbial compositions' impact on gut health.

Conclusions:

  • Gut-on-chip technology is a promising tool for advancing microbiome research.
  • These models can bridge the gap between preclinical findings and clinical observations.
  • They hold potential for accelerating the development of microbiome-targeted therapies.