ReviewNature biomedical engineering2026
Microphysiological models of human gastrointestinal diseases.
Review in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Gastrointestinal (GI) diseases impose a growing global health burden, extending beyond localized pathology to disrupt systemic metabolism, immunity and cancer risk. Despite advances in conventional animal and cell models, critical mechanisms driving chronic inflammation, tumour initiation and host-microbiome dysregulation remain incompletely understood, limiting translational progress. Microphysiological systems, including organoids and organ-on-a-chip technologies, have transformed our ability to model human GI biology and pathology with increasing cellular, spatial and mechanical fidelity. Here we synthesize recent advances in organoid and organ-on-a-chip models of GI disease, highlighting their applications across inflammatory, infectious and neoplastic conditions throughout the GI tract. We integrate emerging engineering approaches with mechanistic and clinical insights, assessing how these systems advance disease modelling while identifying remaining gaps in complexity, translation and scalability. By bridging microengineering innovation with clinical gastroenterology, we outline how next-generation, human-relevant models can inform mechanistic discovery, guide targeted therapeutic development and support precision medicine in GI disease.
Identifiers
42834084What OpenQuestion 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 OpenQuestion graph.