Quercitrin loaded cyclodextrin based nanosponge as a promising approach for management of lung cancer and COVID-19.
J Drug Deliv Sci Technol
; 77: 103921, 2022 Nov.
Article
in English
| MEDLINE | ID: covidwho-2086403
ABSTRACT
Lung cancer and pandemic acute respiratory disease, COVID-19, are examples of the most worldwide widespread diseases. The aim of the current study is to develop cyclodextrin based nanosponge (CD-NS) for loading the flavonoid drug, quercitrin (QCT). This is to improve its solubility in an attempt to enhance its activity against lung cancer as well as SARS-CoV-2 virus responsible for COVID-19. Preparation of CD-NS was performed by ultrasound-assisted synthesis method. Two CDs were employed, namely, ß cyclodextrin (ßCD) and 2-hydroxy propyl-ß-cyclodextrin (2-HPßCD) that were crosslinked with diphenyl carbonate, one at a time. QCT loaded CD-NS revealed entrapment efficiency and particle size ranged between 94.17 and 99.03% and 97.10-325.90 nm, respectively. QCT loaded 2-HPßCD-NS revealed smaller particle size compared with that of QCT loaded ßCD-NS. Zeta potential absolute values of the prepared formulations were >20 mV, indicating physically stable nanosystems. The selected formulations were investigated by Fourier transform infrared spectroscopy, X-ray powder diffraction and scanning electron microscopy which proved the formation of QCT loaded CD-NS exhibiting porous structure. QCT exhibited partial and complete amorphization in ßCD-NS and 2-HPßCD-NS, respectively. In vitro release revealed an improved release of QCT from CD-NS formulations. The biological activity of free QCT and QCT loaded CD-NS was investigated against lung cancer cell line A549 as well as SARS-CoV-2 virus. The results revealed that IC50 values of free QCT against lung cancer cell line A549 and SARS-CoV-2 were higher than those exhibited by QCT loaded CD-NS by 1.57-5.35 and 5.95-26.95 folds, respectively. QCT loaded 2-HPßCD-NS revealed enhanced in vitro release and superior biological activity compared with QCT loaded ßCD-NS.
Full text:
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Collection:
International databases
Database:
MEDLINE
Language:
English
Journal:
J Drug Deliv Sci Technol
Year:
2022
Document Type:
Article
Affiliation country:
J.jddst.2022.103921
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