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A microfluidics-based in vitro model of the gastrointestinal human–microbe interface

Authors :
Christian Jäger
Matthew Estes
Joëlle V. Fritz
Mahesh Desai
Frederic Zenhausern
Enrico Glaab
Carole Seguin-Devaux
Pranjul Shah
Audrey Frachet
Paul Wilmes
Magdalena Niegowska
Kacy Greenhalgh
Source :
Nature Communications, Vol 7, Iss 1, Pp 1-15 (2016), Nature Communications
Publication Year :
2016
Publisher :
Nature Portfolio, 2016.

Abstract

Changes in the human gastrointestinal microbiome are associated with several diseases. To infer causality, experiments in representative models are essential, but widely used animal models exhibit limitations. Here we present a modular, microfluidics-based model (HuMiX, human–microbial crosstalk), which allows co-culture of human and microbial cells under conditions representative of the gastrointestinal human–microbe interface. We demonstrate the ability of HuMiX to recapitulate in vivo transcriptional, metabolic and immunological responses in human intestinal epithelial cells following their co-culture with the commensal Lactobacillus rhamnosus GG (LGG) grown under anaerobic conditions. In addition, we show that the co-culture of human epithelial cells with the obligate anaerobe Bacteroides caccae and LGG results in a transcriptional response, which is distinct from that of a co-culture solely comprising LGG. HuMiX facilitates investigations of host–microbe molecular interactions and provides insights into a range of fundamental research questions linking the gastrointestinal microbiome to human health and disease.<br />Research on the interactions between the gut microbiota and human cells would greatly benefit from improved in vitro models. Here, Shah et al. present a modular microfluidics-based model that allows co-culture of human and microbial cells followed by 'omic' molecular analyses of the two cell contingents.

Details

Language :
English
ISSN :
20411723
Volume :
7
Issue :
1
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....fa1bb0c9a92eff175441af3c20b5176f