Issue 25, 2020, Issue in Progress

Enhancing cellular morphological changes and ablation of cancer cells via the interaction of drug co-loaded magnetic nanosystems in weak rotating magnetic fields

Abstract

Magnetic nanoparticles have been widely used in cancer treatment for their potential magnetic functions and synergistic antitumor effect with therapeutic agents. In this work, we developed a polymeric nanosystem by co-loading the natural anticancer drug tetrandrine and superparamagnetic iron oxide nanoparticles for cancer combinatorial therapy. The nanosystem possessed regular morphology and superior magnetic properties. Under the action of external rotating permanent magnets, the nanosystem could transfer a rotational motion to damage the cellular membrane, which would result in the increased permeabilization of the cell membrane and damage to lysosomes. Hence, the specific characteristics of the magnetic nanosystem induced potent cytotoxicity and enhanced the effect of the tetrandrine-induced cell apoptosis. With further exploration, we found that this nanoplatform caused cell death via a lysosomal-mitochondrial apoptotic pathway with the upregulation of proapoptotic proteins (Cathepsin B, Smac/Diablo, Cytochrome C, and Caspase 3) and the down-regulation of antiapoptotic proteins (Bcl-2 and XIAP). These findings demonstrate that the combination therapy mediated by co-loaded magnetic nanosystems can be used for a multi-therapeutic effect against tumors in biomedical applications.

Graphical abstract: Enhancing cellular morphological changes and ablation of cancer cells via the interaction of drug co-loaded magnetic nanosystems in weak rotating magnetic fields

Article information

Article type
Paper
Submitted
15 Feb 2020
Accepted
25 Mar 2020
First published
16 Apr 2020
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2020,10, 14471-14481

Enhancing cellular morphological changes and ablation of cancer cells via the interaction of drug co-loaded magnetic nanosystems in weak rotating magnetic fields

T. Wu, Q. Zhang, H. Hu, F. Yang, K. Li, Y. Zhang and C. Shi, RSC Adv., 2020, 10, 14471 DOI: 10.1039/D0RA01458C

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