Title |
Preclinical development of an automated injection device for intradermal delivery of a cell-based therapy
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Published in |
Drug Delivery and Translational Research, August 2017
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DOI | 10.1007/s13346-017-0418-z |
Pubmed ID | |
Authors |
Giulia Leoni, Alex Lyness, Patrick Ginty, Rindi Schutte, Gopalan Pillai, Gayatri Sharma, Paul Kemp, Natalie Mount, Michaela Sharpe |
Abstract |
Current methods for intradermal delivery of therapeutic products in clinical use include manual injection via the Mantoux technique and the use of injection devices, primarily developed for the delivery of vaccines and small molecules. A novel automated injection device is presented specifically designed for accurate delivery of multiple doses of product through a number of adjustable injection parameters, including injection depth, dose volume and needle insertion speed. The device was originally conceived for the delivery of a cell-based therapy to patients with skin wounds caused by epidermolysis bullosa. A series of preclinical studies was conducted (i) to evaluate the performance of the pre-production model (PreCTCDV01) and optimise the final design, (ii) to confirm that a cell therapy product can be effectively delivered through the injection system and (iii) to test whether the device can be safely and effectively operated by potential end-users. Results from these studies confirmed that the device is able to consistently deliver repeated doses of a liquid to the intradermal layer in an ex vivo skin model. In addition, the device can support delivery of a cell therapy product through a customised microbore tubing without compromising cell viability. Finally, the device was shown to be safe and easy to use as evidenced by usability testing. The clinical device has since been granted European market access and plans for clinical use are currently underway. The device is expected to find use in the emerging area of cell therapies and a broad spectrum of traditional parenteral drug delivery applications. |
X Demographics
Geographical breakdown
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United Kingdom | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 5 | 20% |
Student > Bachelor | 3 | 12% |
Student > Master | 2 | 8% |
Professor > Associate Professor | 2 | 8% |
Other | 2 | 8% |
Other | 3 | 12% |
Unknown | 8 | 32% |
Readers by discipline | Count | As % |
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Engineering | 7 | 28% |
Agricultural and Biological Sciences | 2 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
Medicine and Dentistry | 2 | 8% |
Business, Management and Accounting | 1 | 4% |
Other | 4 | 16% |
Unknown | 7 | 28% |