Title |
In Vitro Models for Studying Transport Across Epithelial Tissue Barriers
|
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Published in |
Annals of Biomedical Engineering, September 2018
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DOI | 10.1007/s10439-018-02124-w |
Pubmed ID | |
Authors |
Navein Arumugasaamy, Javier Navarro, J. Kent Leach, Peter C. W. Kim, John P. Fisher |
Abstract |
Epithelial barriers are the body's natural defense system to regulating passage from one domain to another. In our efforts to understand what can and cannot cross these barriers, models have emerged as a reductionist approach to rigorously study and investigate this question. In particular, in vitro tissue models have become prominent as there is an increased exploration of understanding biological molecular transport. Herein, we introduce the pertinent physiology, then discuss recent studies and approaches for building models of five epithelial tissues: skin, the gastrointestinal tract, the lungs, the blood-brain barrier, and the placenta. In particular, we evaluated literature from the past 5 years utilizing a tissue model to evaluate molecular transport. We then compare physiology of these tissues and discuss similarities in approaches, across tissues, to validate these models. We conclude with a summary of the approaches of growing interest across multiple tissues and an outlook on future steps to improve these models. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 80 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 18% |
Researcher | 12 | 15% |
Student > Master | 8 | 10% |
Professor | 5 | 6% |
Student > Doctoral Student | 4 | 5% |
Other | 12 | 15% |
Unknown | 25 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 14 | 18% |
Biochemistry, Genetics and Molecular Biology | 12 | 15% |
Environmental Science | 5 | 6% |
Agricultural and Biological Sciences | 3 | 4% |
Medicine and Dentistry | 3 | 4% |
Other | 9 | 11% |
Unknown | 34 | 43% |