Immunocompetent Intestine-on-Chip Model for Analyzing Gut Mucosal Immune Responses.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
24 May 2024
Historique:
medline: 10 6 2024
pubmed: 10 6 2024
entrez: 10 6 2024
Statut: epublish

Résumé

An advanced intestine-on-chip model recreating epithelial 3D organotypic villus-like and crypt-like structures has been developed. The immunocompetent model includes Human Umbilical Vein Endothelial Cells (HUVEC), Caco-2 intestinal epithelial cells, tissue-resident macrophages, and dendritic cells, which self-organize within the tissue, mirroring characteristics of the human intestinal mucosa. A unique aspect of this platform is its capacity to integrate circulating human primary immune cells, enhancing physiological relevance. The model is designed to investigate the intestinal immune system's response to bacterial and fungal colonization and infection. Due to its enlarged cavity size, the model offers diverse functional readouts such as permeation assays, cytokine release, and immune cell infiltration, and is compatible with immunofluorescence measurement of 3D structures formed by the epithelial cell layer. It hereby provides comprehensive insights into cell differentiation and function. The intestine-on-chip platform has demonstrated its potential in elucidating complex interactions between surrogates of a living microbiota and human host tissue within a microphysiological perfused biochip platform.

Identifiants

pubmed: 38856194
doi: 10.3791/66603
doi:

Types de publication

Journal Article Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Adrian Feile (A)

Institute of Biochemistry II, Jena University Hospital; Cluster of Excellence Balance of the Microverse, Friedrich Schiller University; Jena School of Microbial Communication, Friedrich Schiller University.

Valentin D Wegner (VD)

Institute of Biochemistry II, Jena University Hospital.

Martin Raasch (M)

Dynamic42 GmbH.

Alexander S Mosig (AS)

Institute of Biochemistry II, Jena University Hospital; Cluster of Excellence Balance of the Microverse, Friedrich Schiller University; Jena School of Microbial Communication, Friedrich Schiller University; Jena Center for Sepsis Control and Care, Jena University Hospital; alexander.mosig@med.uni-jena.de.

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Classifications MeSH