NDLI: A comprehensive mathematical model of drug release kinetics from nano-liposomes, derived from optimization studies of cationic PEGylated liposomal doxorubicin formulations for drug-gene delivery.

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A comprehensive mathematical model of drug release kinetics from nano-liposomes, derived from optimization studies of cationic PEGylated liposomal doxorubicin formulations for drug-gene delivery.

Content Provider	Semantic Scholar
Author	Haghiralsadat, Fateme Amoabediny, Ghasem Helder, Marco N. Naderinezhad, Samira Sheikhha, Mohammad Hasan Forouzanfar, Tymour Zandieh-Doulabi, Behrouz
Copyright Year	2018
Abstract	This study focuses on the development of a universal mathematical model for drug release kinetics from liposomes to allow in silico prediction of optimal conditions for fine-tuned controlled drug release. As a prelude for combined siRNA-drug delivery, nanoliposome formulations were optimized using various mole percentages of a cationic lipid (1,2-dioleoyl-3-trimethylammonium-propane, DOTAP) in the presence or absence of 3 mol% distearoyl phosphoethanolamine, polyethylene glycol (PEG-2000mDSPE). Outcome parameters were particle size, zeta potential, entrapment efficiency, in vitro drug release, and tumor cell kill efficiency. The optimized formula (containing 20% DOTAP with 3% DSPE-mPEG(2000) was found to be stable for six months, with round-shaped particles without aggregate formation, an average diameter of 71 nm, a suitable positive charge, and 89% drug encapsulation efficiency (EE). The 41% drug release during 6 h confirmed controlled release. Furthermore, the release profiles as functions of pH and temperature were investigated and the kinetics of the drug release could adequately be fitted to Korsmeyer-Peppas' model by multiple regression analysis. The statistical parameters confirmed good conformity of final models. Functionality of the novel cationic liposome formulations (± DOX) was tested on osteosarcoma (OS) cell lines. Increased OS cell toxicity (1.3-fold) was observed by the DOX-loaded vs. the free DOX. A feasibility pilot showed that siRNA could be loaded efficiently as well. In conclusion, we have established a predictive mathematical model for the fine-tuning of controlled drug release from liposomal formulations, while creating functional drug-delivery liposomes with potential for siRNA co-delivery to increase specificity and efficacy.
Starting Page	169
Ending Page	177
Page Count	9
File Format	PDF HTM / HTML
DOI	10.1080/21691401.2017.1304403
PubMed reference number	28376641
Journal	Medline
Volume Number	46
Issue Number	1
Alternate Webpage(s)	http://ut.ac.ir/file/download/news/1508057019-sadat-article4.pdf
Alternate Webpage(s)	https://doi.org/10.1080/21691401.2017.1304403
Journal	Artificial cells, nanomedicine, and biotechnology
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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