| Chapter title |
Microphysiological Systems (Tissue Chips) and their Utility for Rare Disease Research
|
|---|---|
| Chapter number | 23 |
| Book title |
Rare Diseases Epidemiology: Update and Overview
|
| Published in |
Advances in experimental medicine and biology, January 2017
|
| DOI | 10.1007/978-3-319-67144-4_23 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-967142-0, 978-3-31-967144-4
|
| Authors |
Lucie A. Low, Danilo A. Tagle, Low, Lucie A., Tagle, Danilo A. |
| Abstract |
The scientific and technological development of microphysiological systems (MPS) modeling organs-on-chips, or "tissue chips" (TCs), has progressed rapidly over the past decade. Stem cell research and microfluidic concepts have combined to lead to the development of microphysiological platforms representing an ever-expanding list of different human organ systems. In the context of rare diseases, these bioengineered microfluidics platforms hold promise for modeling of disorders and could prove useful in the screening and efficacy testing of existing therapeutics. Additionally, they have the potential for replacing and refining animal use for new drugs and clinical treatments, or could even act as surrogate human systems for testing of new therapeutics in the future, which could be particularly useful in populations of rare disease sufferers. This chapter will discuss the current state of tissue chip research, and challenges facing the field. Additionally, we will discuss how these devices are being used to model basic cellular and molecular phenotypes of rare diseases, holding promise to provide new tools for understanding of disease pathologies and screening and efficacy testing of potential therapeutics for drug discovery. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 28% |
| Researcher | 3 | 12% |
| Student > Master | 2 | 8% |
| Professor | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 12% |
| Engineering | 3 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Neuroscience | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 4 | 16% |
| Unknown | 10 | 40% |