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Title: | Efficacy of green nanoparticles against cancerous and normal cell lines: a systematic review and meta-analysis |
Authors: | Barabadi, Hamed Alizadeh, Ahad Ovais, Muhammad Ahmadi, Amirhossein Shinwari, Zabta Khan |
Keywords: | Medical and Health Sciences Antibacterial activity Bayes methods Cancer Cellular biophysics Bayesian generalised linear model Cancerous cell lines Nanomedicine Green nanoparticles Cancer Diseases Treatment |
Issue Date: | 17-May-2018 |
Publisher: | IET Nanobiotechnology |
Abstract: | This study aimed to perform a systematic review and meta-analysis of papers discussing the efficacy of microbial synthesised metallic nanoparticles (MNPs) against cancerous and normal cell lines by exploiting Bayesian generalised linear (BGL) model. Data was systematically collected from published papers via Cochrane library, Web of Science, PubMed, Science Direct, ProQuest, Scopus, and Embase. Impressively, most of the studies were carried out on HeLa and A549 cancer cell lines. Specifically, a hefty 65.67% of studies employed bacteria to biofabricate MNPs. Significantly, BGL meta-analysis represented highly valuable information. Hence, based on adjusted analysis, the MNPs with the size of 25-50 nm were found to be far less cytotoxic than the MNPs with the size of ≤25 nm (OR = 0.233, P <; 0.05) against either cancerous or normal cell lines. Interestingly, it was found that the odds of cytotoxicity in cancerous cell lines were practically nine times more than normal cell lines, representing the substantially more cytotoxicity of MNPs in cancerous cell lines (OR = 9.004, P <; 0.001). Green MNPs mentioned here may be developed as novel anti-cancer agents, which could lead to a revolution in the treatment of cancer. |
URI: | http://142.54.178.187:9060/xmlui/handle/123456789/972 |
ISSN: | 1751-875X |
Appears in Collections: | Journals |
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