MétaCan
Menu
Back to cohort
Record W4407285157 · doi:10.1093/jcag/gwae059.002

A2 USING BIOPSY-DERIVED ORGANOIDS AND GUT-ON-A-CHIP PLATFORM TO DEVELOP A PHYSIOLOGICALLY RELEVANT BACTERIAL INFECTION MODEL

2025· article· en· W4407285157 on OpenAlexaff
Qiaochu Liang, Kwang‐Wook Choi, Hing L. Sham, Brian Bressler, Bruce A. Vallance

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsOrganoidOrgan-on-a-chipComputational biologyComputer scienceBiologyCell biologyNanotechnologyMicrofluidics

Abstract

fetched live from OpenAlex

Abstract Background The intestine is a highly complex ecosystem, consisting of diverse cell types, dynamic interactions, and mechanical forces. These elements are key to maintaining intestinal homeostasis and modulating the risk of enteric bacterial infections. Traditional in vitro models fail to recapitulate the physiological complexity of the gut, limiting our understanding of bacterial pathogenesis and host responses. Patient-derived intestinal organoids offer a promising solution by replicating the cellular diversity and structure of the epithelium. However, conventional organoid cultures lack the dynamic environment present in vivo. The emergence of organ-on-a-chip technology provides an innovative approach for such modeling, by incorporating mechanical forces, such as flow and stretch, to better mimic the intestinal environment. Aims To establish a bacterial infection model using patient-derived intestinal organoids cultured in a gut-on-a-chip system to address the challenges of simulating the complex enteric pathogen-host interactions. Methods An enteric Salmonella infection model was developed using the Emulate Colon Intestine-Chip. This system consists of two parallel channels seeded with patient-derived ascending colonic organoids in the upper channel and Human Intestinal Microvascular Endothelial Cells (HIMEC) in the lower. Cellular differentiation, barrier integrity, mucus and cytokine release, and pathogen invasion was assessed. Results Biopsy-derived colonic organoids rapidly differentiated into a multi-cell type system when co-cultured with HIMEC on the Emulate Chip, showing tight junction formation and a stable epithelial barrier. Following Salmonella infection, a significant decrease in intestinal permeability was observed in infected organoids compared to uninfected controls, indicating a breach in epithelial integrity. This disruption was accompanied by release of inflammatory cytokines, including CCL2 and IL-8, demonstrating a robust innate immune response. Notably, goblet cell release of mucus into the supernatant were observed post-infection, suggesting a rapid secretion of mucus as a defense mechanism against infection. Microscopy confirmed extensive Salmonella invasion into the epithelial layer, demonstrating the organ-on-a-chip system’s ability to replicate key aspects of enteric infection as observed seen in vivo. Conclusions The Salmonella infection model established using the gut-on-a-chip platform effectively recapitulates key features of enteric infection within a physiologically relevant microenvironment. This model demonstrates the loss of epithelial integrity, the activation of robust inflammatory responses, and rapid mucus secretion, offering a powerful tool for studying host-pathogen interactions in the human gut and potentially informing therapeutic development for enteric diseases. Funding Agencies Weston Family Foundation

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.255
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Canadian Association of GastroenterologySame topic3D Printing in Biomedical ResearchFrench-language works237,207