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June 6, 2026Frontiers in Immunology0 citationsOpen Access

In vitro models of the gut-liver axis: what we’ve learned and what remains to be built

JSJong Hwan SungRKRaehyun Kim

Key Points

  • This work aims to review advancements in gut-liver axis models and identify gaps in current knowledge.
  • Reviewed various gut-liver axis models including static co-cultures and microfluidic systems.
  • Analyzed applications in pharmacokinetic and mechanistic studies.
  • Identified technical challenges for creating physiologically accurate models.
  • Highlighted the need for better understanding of metabolite-mediated gut-liver crosstalk.
  • Pointed out gaps in immune-mediated interorgan communication modeling.
  • Emphasized the importance of developing disease-specific models for more accurate pathobiological insights.

Abstract

The gut-liver axis maintains metabolic homeostasis and immune regulation through continuous bidirectional communication, and its dysregulation contributes to a range of metabolic, inflammatory, and immune-mediated diseases. Integrated gut-liver axis model systems offer unique tools for dissecting these complex interactions by isolating individual variables that are difficult to disentangle in vivo , while allowing flexible experimental controls over them. Here, we review advances in gut-liver axis models from static co-cultures to microfluidic systems and their applications in pharmacokinetic and mechanistic studies. We identify underexplored areas, including metabolite-mediated gut-liver crosstalk, immune-mediated interorgan communication, and disease-specific modeling, and outline technical challenges to achieving physiologically faithful and reliable integrated platforms. By addressing these challenges, gut-liver axis models will contribute to a mechanistic understanding of gut-liver pathobiology that is difficult to achieve through clinical studies, animal models, or individual organ systems alone.

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Cite This Study

Sung et al. (2026) studied this question.

synapsesocial.com/papers/6a23b8c571a5da9775e74d81https://doi.org/10.3389/fimmu.2026.1858289
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