| Autor: |
Lyndon Jones, Ana Filipa Mota, Chau-Minh Phan, Piyush Garg, Carmen Alvarez-Lorenzo, María Vivero López, Angel Concheiro |
| Přispěvatelé: |
Universidade de Santiago de Compostela. Departamento de Farmacoloxía, Farmacia e Tecnoloxía Farmacéutica |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Drug Delivery and Translational Research |
| Popis: |
There is still a paucity of information on how in vitro release profiles from drug-loaded contact lenses (CLs) recorded in 3D printed eye models correlate with in vivo profiles. This work aims to evaluate the release profiles of two drug-loaded CLs in a 3D in vitro eye blink model and compare the obtained results with the release in a vial and the drug levels in tear fluid previously obtained from an animal in vivo study. In vitro release in the eye model was tested at two different flow rates (5 and 10 µL/min) and a blink speed of 1 blink/10 s. Model CLs were loaded with two different drugs, hydrophilic pravastatin and hydrophobic resveratrol. The release of both drugs was more sustained and lower in the 3D eye model compared to the in vitro release in vials. Interestingly, both drugs presented similar release patterns in the eye model and in vivo, although the total amount of drugs released in the eye model was significantly lower, especially for resveratrol. Strong correlations between percentages of pravastatin released in the eye model and in vivo were found. These findings suggest that the current 3D printed eye blink model could be a useful tool to measure the release of ophthalmic drugs from medicated CLs. Nevertheless, physiological parameters such as the composition of the tear fluid and eyeball surface, tear flow rates, and temperature should be optimized in further studies Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This project was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Actions grant agreement N° 813440 (ORBITAL–Ocular Research by Integrated Training And Learning). The work was also partially supported by MCIN [PID 2020-113881RB-I00/AEI/10.13039/501100011033], Spain, Xunta de Galicia [ED431C 2020/17], FEDER, and the Hong Kong Special Administrative Region Government and InnoHK. M. Vivero-Lopez acknowledges Xunta de Galicia (Consellería de Cultura, Educación e Ordenación Universitaria) for a predoctoral research fellowship [ED481A-2019/120]. P. Garg acknowledges the support of the Collaborative Research and Training Experience (CREATE) Program awarded by the Natural Sciences and Engineering Research Council of Canada (NSERC) SI |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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