Evidence map›Paper›PMID 42306979›Full record

ArticleBiotechnology and bioengineering2026

A Practical Gut-On-Chip Workflow for Imaging-Based Assessment of Epithelial Barrier Dynamics During E. coli Co-Culture.

Shih-Wei Chiang, Chuan-Yi Yang, Guan-Yu Chen

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Article in Biotechnology and bioengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shih-Wei ChiangDivision of Colorectal Surgery, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan.ORCID https://orcid.org/0000-0001-7349-9488
Chuan-Yi YangDepartment of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Guan-Yu ChenDepartment of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.ORCID https://orcid.org/0000-0002-3443-7943

Funding

Collaborative Grants with National Yang Ming Chiao Tung UniversityNational Science and Technology Council NSTC113-2628-B-A49-008-MY3Taichung Veterans General Hospital
6 · The paper itself

Abstract

The intestinal epithelium and its resident microbiota form a dynamic interface that is central to gut homeostasis, but this interface is difficult to model with conventional tools. Static Transwell cultures lack physiological fluid shear, whereas animal models are costly and poorly suited to quantitative, high-content imaging. Organ-on-a-chip technology offers a way to recreate key physical and biological features of the gut, yet many existing gut-on-chip systems remain technically demanding or poorly standardized for routine use. Here, we developed and validated a practical gut-on-chip workflow that enables reproducible, imaging-based quantification of epithelial barrier dynamics during short-term co-culture with Escherichia coli. Using a commercial two-channel microfluidic chip and Caco-2 cells, we first established a perfused intestinal model under low-flow conditions (0.5-1 µL/min) and confirmed long-term stability by phase-contrast imaging, LIVE/DEAD staining, and immunofluorescence for ZO-1, F-actin, and wheat germ agglutinin (WGA). This protocol generated a confluent, polarized monolayer with continuous tight junctions and an apical glycoprotein mucus layer. We then introduced HADA-labeled E. coli and systematically varied the perfusion rate during co-culture. At 0.5 µL/min, the epithelial layer, although stable in monoculture, underwent rapid thinning and focal detachment within 4 days of co-culture, indicating that low shear is insufficient to buffer bacterial overgrowth and metabolite accumulation. In contrast, Caco-2 monolayers tolerated perfusion up to 10 µL/min without structural damage, and at this higher flow rate we achieved a stable, 24-h analytical window in which epithelial integrity and bacterial distribution could be imaged reliably. Structural disruption only became evident when co-culture was extended to four and 7 days. Taken together, these results identify perfusion rate as the decisive parameter for stabilizing host-microbe co-culture on a gut-on-chip platform. The workflow described here couples a functionally validated epithelial barrier with an experimentally simple, yet robust, perfusion regime. It provides an accessible test-bed for quantitative studies of early host-microbe interactions and can be readily extended with orthogonal barrier readouts, such as TEER or tracer permeability, in future work.

Indexed as

Escherichia coliIntestinal MucosaLab-On-A-Chip DevicesCaco-2 CellsCoculture TechniquesHumansIntestinal Barrier FunctionMicrophysiological SystemsCaco‐2E. coliepithelial barriergut‐on‐chiphost–microbe interactionmicrofluidicsmucusperfusionshear stresstight junction

Identifiers

PMID42306979
PMCPMC13521455

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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.