A gut-on-a-chip incorporating human faecal samples and peristalsis predicts responses to immune checkpoint inhibitors for melanoma

From BugSigDB
Needs review
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
Authors
Ballerini M, Galiè S, Tyagi P, Catozzi C, Raji H, Nabinejad A, Macandog ADG, Cordiale A, Slivinschi BI, Kugiejko KK, Freisa M, Occhetta P, Wargo JA, Ferrucci PF, Cocorocchio E, Segata N, Vignati A, Morgun A, Deleidi M, Manzo T, Rasponi M, Nezi L
Journal
Nature biomedical engineering
Year
2025
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.

Experiment 1


Needs review

Curated date: 2025/02/19

Curator: An05hka

Revision editor(s): An05hka

Subjects

Location of subjects
Italy
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Response to immune checkpoint inhibitor response to ICI,Response to immune checkpoint inhibitor,response to immune checkpoint inhibitor
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Non-Responsive Patients
Group 1 name Corresponds to the case (exposed) group for case-control studies
Responsive Patients
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Melanoma patients who are responsive to immunotherapy
Group 0 sample size Number of subjects in the control (unexposed) group
5
Group 1 sample size Number of subjects in the case (exposed) group
4

Lab analysis

Sequencing type
WMS
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
Not specified
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
Mann-Whitney (Wilcoxon)
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
No


Signature 1

Needs review

Curated date: 2025/02/19

Curator: An05hka

Revision editor(s): An05hka

Source: figure 6 a.

Description: Heat map of top R- and NR-associated taxa based on Wilcoxon test unadjusted P < 0.05. Bars on the right indicate log2 fold change of mean relative abundance (R/NR)

Abundance in Group 1: increased abundance in Responsive Patients

NCBI Quality ControlLinks
Bacilliculturomica massiliensis
Coprococcus eutactus
Clostridia unclassified SGB4447Clostridia unclassified SGB4447
Clostridium sp. SN20
Actinomyces sp. oral taxon 448
Blautia SGB4831Blautia SGB4831
Bacilli unclassified SGB6422Bacilli unclassified SGB6422
Actinomyces radicidentis

Revision editor(s): An05hka

Signature 2

Needs review

Curated date: 2025/02/19

Curator: An05hka

Revision editor(s): An05hka

Source: figure 6 a.

Description: Heat map of top R- and NR-associated taxa based on Wilcoxon test unadjusted P < 0.05. Bars on the right indicate log2 fold change of mean relative abundance (R/NR)

Abundance in Group 1: decreased abundance in Responsive Patients

NCBI Quality ControlLinks
Anaerococcus prevotii
Thomasclavelia spiroformis
Dorea phocaeensis
Clostridia unclassified SGB6371Clostridia unclassified SGB6371
[Clostridium] hylemonae
Allisonella histaminiformans
Clostridiaceae bacterium
Alphaproteobacteria bacterium
Catenibacterium sp. AM22-15
Candidatus Neochristensenella gallicola
Mogibacterium kristiansenii
Candidatus Gallimonas merdae
Enterococcus raffinosus
Gemmiger SGB15299Gemmiger SGB15299
Butyricimonas SGB1783Butyricimonas SGB1783
Butyricicoccus SGB14985Butyricicoccus SGB14985
Clostridium sp. AF34-10BH

Revision editor(s): An05hka