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Challenges and promises in modeling dermatologic disorders with bioengineered skin.
Narat J Eungdamrong1, Claire Higgins2, Zongyou Guo2
1The Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York, NY 10016, USA Departments of Dermatology, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA.
Experimental Biology and Medicine (Maywood, N.J.)
|June 22, 2014
Summary
Developing new drugs is costly and time-consuming. This review explores using 3D engineered skin on microchips to better predict drug safety and efficacy, potentially speeding up development.
Area of Science:
- Biotechnology
- Drug Development
- Tissue Engineering
Background:
- Drug development is expensive due to high failure rates in clinical trials after promising preclinical results.
- Current preclinical models (cell culture, animal studies) often fail to predict human responses accurately.
- Novel technologies are needed to improve the prediction of drug safety and efficacy.
Purpose of the Study:
- To review the potential of three-dimensional engineered skin on microphysiological systems for drug development.
- To discuss the challenges and future directions for bioengineered skin models.
- To highlight the utility of engineered skin in modeling dermatologic disorders.
Main Methods:
- Review of current literature on microtechnology and bioengineered skin.
- Discussion of biological and engineering challenges in creating robust engineered skin.
- Exploration of the application of engineered skin in disease modeling.
Main Results:
- Microphysiological systems allow integration of multiple organ systems on a chip.
- Engineered skin has a history of clinical use and laboratory modeling.
- Engineered skin holds promise for modeling skin diseases and reactions.
Conclusions:
- 3D engineered skin on microchips offers a promising approach to enhance drug safety and efficacy prediction.
- Addressing current biological and engineering challenges is crucial for robust bioengineered skin models.
- This technology can accelerate drug development and improve the modeling of dermatologic conditions.

