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Engineering    2017, Vol. 3 Issue (1) : 60 -65     https://doi.org/10.1016/J.ENG.2017.01.011
Research |
Engineering Solutions for Representative Models of the Gastrointestinal Human-Microbe Interface
Marc Mac Giolla Eain1,2,Joanna Baginska1,Kacy Greenhalgh1,Joëlle V. Fritz1,Frederic Zenhausern2,Paul Wilmes1()
1. Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, L 4362, Luxembourg
2. Center for Applied Nanobioscience and Medicine, University of Arizona, Tucson, AZ 85721, USA
Abstract
Abstract  

Host-microbe interactions at the gastrointestinal interface have emerged as a key component in the governance of human health and disease. Advances in micro-physiological systems are providing researchers with unprecedented access and insights into this complex relationship. These systems combine the benefits of microengineering, microfluidics, and cell culture in a bid to recreate the environmental conditions prevalent in the human gut. Here we present the human-microbial cross talk (HuMiX) platform, one such system that leverages this multidisciplinary approach to provide a representative in vitro model of the human gastrointestinal interface. HuMiX presents a novel and robust means to study the molecular interactions at the host-microbe interface. We summarize our proof-of-concept results obtained using the platform and highlight its potential to greatly enhance our understanding of host-microbe interactions with a potential to greatly impact the pharmaceutical, food, nutrition, and healthcare industries in the future. A number of key questions and challenges facing these technologies are also discussed.

Keywords Microbiome      Microfluidics      Organ-on-a-chip      HuMiX     
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Corresponding Authors: Paul Wilmes   
Just Accepted Date: 21 February 2017   Online First Date: 28 February 2017    Issue Date: 02 March 2017
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Marc Mac Giolla Eain
Joanna Baginska
Kacy Greenhalgh
Joë
lle V. Fritz
Frederic Zenhausern
Paul Wilmes
Cite this article:   
Marc Mac Giolla Eain,Joanna Baginska,Kacy Greenhalgh, et al. Engineering Solutions for Representative Models of the Gastrointestinal Human-Microbe Interface[J]. Engineering, 2017, 3(1): 60 -65 .
URL:  
http://engineering.org.cn/EN/10.1016/J.ENG.2017.01.011     OR     http://engineering.org.cn/EN/Y2017/V3/I1/60
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