| Literature DB >> 36175809 |
Maryam Moghtaderi1, Kamand Sedaghatnia2, Mahsa Bourbour3, Mahdi Fatemizadeh4, Zahra Salehi Moghaddam5, Faranak Hejabi6, Fatemeh Heidari7, Sameer Quazi8,9,10, Bahareh Farasati Far11.
Abstract
Recently, nanotechnology is involved in various fields of science, of which medicine is one of the most obvious. The use of nanoparticles in the process of treating and diagnosing diseases has created a novel way of therapeutic strategies with effective mechanisms of action. Also, due to the remarkable progress of personalized medicine, the effort is to reduce the side effects of treatment paths as much as possible and to provide targeted treatments. Therefore, the targeted delivery of drugs is important in different diseases, especially in patients who receive combined drugs, because the delivery of different drug structures requires different systems so that there is no change in the drug and its effectiveness. Niosomes are polymeric nanoparticles that show favorable characteristics in drug delivery. In addition to biocompatibility and high absorption, these nanoparticles also provide the possibility of reducing the drug dosage and targeting the release of drugs, as well as the delivery of both hydrophilic and lipophilic drugs by Niosome vesicles. Since various factors such as components, preparation, and optimization methods are effective in the size and formation of niosomal structures, in this review, the characteristics related to niosome vesicles were first examined and then the in silico tools for designing, prediction, and optimization were explained. Finally, anticancer drugs delivered by niosomes were compared and discussed to be a suitable model for designing therapeutic strategies. In this research, it has been tried to examine all the aspects required for drug delivery engineering using niosomes and finally, by presenting clinical examples of the use of these nanocarriers in cancer, its clinical characteristics were also expressed.Entities:
Keywords: Characterization; In silico; Niosomes; Preparation; Structure; Targeted drug delivery
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Year: 2022 PMID: 36175809 DOI: 10.1007/s12032-022-01836-3
Source DB: PubMed Journal: Med Oncol ISSN: 1357-0560 Impact factor: 3.738