Faculty, Staff and Student Publications
Publication Date
6-1-2025
Journal
Nature Biomedical Engineering
DOI
10.1038/s41551-024-01318-z
PMID
39939548
PMCID
PMC12176660
PubMedCentral® Posted Date
2-12-2025
PubMedCentral® Full Text Version
Post-print
Abstract
Patient responses to immune checkpoint inhibitors can be influenced by the gastrointestinal microbiome. Mouse models can be used to study microbiome-host crosstalk, yet their utility is constrained by substantial anatomical, functional, immunological and microbial differences between mice and humans. Here we show that a gut-on-a-chip system mimicking the architecture and functionality of the human intestine by including faecal microbiome and peristaltic-like movements recapitulates microbiome-host interactions and predicts responses to immune checkpoint inhibitors in patients with melanoma. The system is composed of a vascular channel seeded with human microvascular endothelial cells and an intestinal channel with intestinal organoids derived from human induced pluripotent stem cells, with the two channels separated by a collagen matrix. By incorporating faecal samples from patients with melanoma into the intestinal channel and by performing multiomic analyses, we uncovered epithelium-specific biomarkers and microbial factors that correlate with clinical outcomes in patients with melanoma and that the microbiome of non-responders has a reduced ability to buffer cellular stress and self-renew. The gut-on-a-chip model may help identify prognostic biomarkers and therapeutic targets.
Keywords
Humans, Melanoma, Immune Checkpoint Inhibitors, Lab-On-A-Chip Devices, Gastrointestinal Microbiome, Feces, Peristalsis, Organoids, Induced Pluripotent Stem Cells, Mice, Endothelial Cells, Animals
Published Open-Access
yes
Recommended Citation
Ballerini, Mattia; Galiè, Serena; Tyagi, Punit; et al., "A Gut-on-a-Chip Incorporating Human Faecal Samples and Peristalsis Predicts Responses to Immune Checkpoint Inhibitors for Melanoma" (2025). Faculty, Staff and Student Publications. 5133.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/5133
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