Title |
Osteoinductivity and Antibacterial Properties of Strontium Ranelate-Loaded Poly(Lactic-co-Glycolic Acid) Microspheres With Assembled Silver and Hydroxyapatite Nanoparticles
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Published in |
Frontiers in Pharmacology, April 2018
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DOI | 10.3389/fphar.2018.00368 |
Pubmed ID | |
Authors |
Zhenyang Mao, Yang Li, Yunqi Yang, Zhiwei Fang, Xuan Chen, Yugang Wang, Jian Kang, Xinhua Qu, Weien Yuan, Kerong Dai, Bing Yue |
Abstract |
Bone-related infection rates are 4-64% in long open bone fractures and nearly 1% in joint-related surgeries. Treating bone infections and infection-related bone loss is very important. The present study prepared strontium ranelate (SR)-loaded poly(lactic-co-glycolic acid) (PLGA) microspheres (PM) with assembled silver nanoparticles (AgNPs) and hydroxyapatite nanoparticles (HANPs) (SR-PM-Ag-HA) through a novel solid-in-oil nanosuspension (S/O/N) method to achieve osteoinductivity and antibacterial properties. We evaluated the microstructure, drug release, biocompatibility, osteoinductivity, and antibacterial activity in vitro. The microspheres showed a stable shape and size. The cumulative drug release reached a maximum of ∼90% after 22 days. All groups loaded with SR enhanced MC3T3-E1 cell proliferation to a greater degree than pure PM. The osteoinductivity behavior was investigated by ALP staining and real-time PCR of osteogenic differentiation marker genes. The antibacterial activity was evaluated using antibacterial ability and biofilm formation assays. SR-PM-Ag-HA greatly enhanced osteogenic differentiation and showed excellent antibacterial properties. These results indicated that SR-PM-Ag-HA could be biocompatible and suitable for drug delivery, osteoinduction, and antibiosis, and therefore, have potential applications in the treatment of bone-related infections and promotion of bone formation at infected sites. |
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Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
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Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 5 | 13% |
Student > Bachelor | 4 | 10% |
Student > Doctoral Student | 3 | 8% |
Professor > Associate Professor | 3 | 8% |
Student > Master | 3 | 8% |
Other | 7 | 18% |
Unknown | 14 | 36% |
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Biochemistry, Genetics and Molecular Biology | 5 | 13% |
Chemical Engineering | 2 | 5% |
Engineering | 2 | 5% |
Medicine and Dentistry | 2 | 5% |
Other | 4 | 10% |
Unknown | 18 | 46% |