ReviewPhysiological reports2025
Gut-on-a-chip platforms: Bridging in vitro and in vivo models for advanced gastrointestinal research.
Review in Physiological reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Crosstalk between the microbiota and intestinal γδ T cell compartments in health and IBD.Gut microbes · 2026Review
- Article
- Patient-Derived Organoids in Gastrointestinal Disease: Current Applications, Limitations, and Future Perspectives.International journal of molecular sciences · 2026Review
- In vitro digestion models in food chemistry: advancements, challenges, and applications in nutrient bioaccessibility and bioavailability.Food chemistry: X · 2026Review
- Organs-on-Chips in Drug Development: Engineering Foundations, Artificial Intelligence, and Clinical Translation.Biosensors · 2026Review
- Synthetic microbial communities: a novel emerging models for dissecting gut microbiota-host interactions in neurodegenerative diseases.Frontiers in immunology · 2026Review
- 25 years of applying the 3Rs principles in safety pharmacology: success stories and future perspectives.Frontiers in physiology · 2026Review
- Short-chain fatty acids from gut microbiota restore Th17/Treg balance in rheumatoid arthritis: Mechanisms and therapeutic potential.Journal of translational autoimmunity · 2025Review
- Vessel-on-a-Chip to Study Vascular Endothelial Inflammation.Current protocols · 2025Article
- Organ-on-chip platforms for nanoparticle toxicity and efficacy assessment: Advancing beyond traditional in vitro and in vivo models.Materials today. Bio · 2025Review
- Gut-on-a-chip platforms: Bridging in vitro and in vivo models for advanced gastrointestinal research.Physiological reports · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The gastrointestinal (GI) tract plays a critical role in nutrient absorption, immune responses, and overall health. Traditional models such as two-dimensional cell cultures have provided valuable insights but fail to replicate the dynamic and complex microenvironment of the human gut. Gut-on-a-chip platforms, which incorporate cells located in the gut into microfluidic devices that simulate peristaltic motion and fluid flow, represent a significant advancement in modeling GI physiology and diseases. This review discusses the evolution of gut-on-a-chip technology, from simple cellular mono-cultures models to more sophisticated systems incorporating bi-cultures and tri-cultures that enable studies of drug metabolism, disease modeling, and gut-microbiome interactions. Although challenges remain, including maintaining long-term cell viability and replicating immune responses, these platforms hold great potential for advancing personalized medicine and improving drug discovery efforts targeting gastrointestinal disorders.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.