Title |
Next generation bone tissue engineering: non-viral miR-133a inhibition using collagen-nanohydroxyapatite scaffolds rapidly enhances osteogenesis
|
---|---|
Published in |
Scientific Reports, June 2016
|
DOI | 10.1038/srep27941 |
Pubmed ID | |
Authors |
Irene Mencía Castaño, Caroline M. Curtin, Garry P. Duffy, Fergal J. O’Brien |
Abstract |
Bone grafts are the second most transplanted materials worldwide at a global cost to healthcare systems valued over $30 billion every year. The influence of microRNAs in the regenerative capacity of stem cells offers vast therapeutic potential towards bone grafting; however their efficient delivery to the target site remains a major challenge. This study describes how the functionalisation of porous collagen-nanohydroxyapatite (nHA) scaffolds with miR-133a inhibiting complexes, delivered using non-viral nHA particles, enhanced human mesenchymal stem cell-mediated osteogenesis through the novel focus on a key activator of osteogenesis, Runx2. This study showed enhanced Runx2 and osteocalcin expression, as well as increased alkaline phosphatase activity and calcium deposition, thus demonstrating a further enhanced therapeutic potential of a biomaterial previously optimised for bone repair applications. The promising features of this platform offer potential for a myriad of applications beyond bone repair and tissue engineering, thus presenting a new paradigm for microRNA-based therapeutics. |
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Geographical breakdown
Country | Count | As % |
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Ireland | 9 | 60% |
United States | 2 | 13% |
United Kingdom | 1 | 7% |
Unknown | 3 | 20% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 10 | 67% |
Scientists | 4 | 27% |
Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 107 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 23% |
Student > Master | 15 | 14% |
Student > Bachelor | 15 | 14% |
Researcher | 11 | 10% |
Other | 7 | 7% |
Other | 12 | 11% |
Unknown | 22 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 21 | 20% |
Engineering | 20 | 19% |
Materials Science | 11 | 10% |
Agricultural and Biological Sciences | 8 | 7% |
Medicine and Dentistry | 8 | 7% |
Other | 14 | 13% |
Unknown | 25 | 23% |