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Danfeng Chang

Jilin Agricultural University

Publishes on Nanoparticle-Based Drug Delivery, Autophagy in Disease and Therapy, Cellular transport and secretion. 11 papers and 764 citations.

11Publications
764Total Citations

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Top publicationsby citations

Iron Oxide Nanoparticles Induce Autophagosome Accumulation through Multiple Mechanisms: Lysosome Impairment, Mitochondrial Damage, and ER Stress
Xudong Zhang, Hong-Qiu Zhang, Xin Liang et al.|Molecular Pharmaceutics|2016
Cited by 142

Magnetite (iron oxide, Fe3O4) nanoparticles have been widely used for drug delivery and magnetic resonance imaging (MRI). Previous studies have shown that many metal-based nanoparticles including Fe3O4 nanoparticles can induce autophagosome accumulation in treated cells. However, the underlying mechanism is still not clear. To investigate the biosafety of Fe3O4 and PLGA-coated Fe3O4 nanoparticles, some experiments related to the mechanism of autophagy induction by these nanoparticles have been investigated. In this study, the results showed that Fe3O4, PLGA-coated Fe3O4, and PLGA nanoparticles could be taken up by the cells through cellular endocytosis. Fe3O4 nanoparticles extensively impair lysosomes and lead to the accumulation of LC3-positive autophagosomes, while PLGA-coated Fe3O4 nanoparticles reduce this destructive effect on lysosomes. Moreover, Fe3O4 nanoparticles could also cause mitochondrial damage and ER and Golgi body stresses, which induce autophagy, while PLGA-coated Fe3O4 nanoparticles reduce the destructive effect on these organelles. Thus, the Fe3O4 nanoparticle-induced autophagosome accumulation may be caused by multiple mechanisms. The autophagosome accumulation induced by Fe3O4 was also investigated. The Fe3O4, PLGA-coated Fe3O4, and PLGA nanoparticle-treated mice were sacrificed to evaluate the toxicity of these nanoparticles on the mice. The data showed that Fe3O4 nanoparticle treated mice would lead to the extensive accumulation of autophagosomes in the kidney and spleen in comparison to the PLGA-coated Fe3O4 and PLGA nanoparticles. Our data clarifies the mechanism by which Fe3O4 induces autophagosome accumulation and the mechanism of its toxicity on cell organelles and mice organs. These findings may have an important impact on the clinical application of Fe3O4 based nanoparticles.

Intracellular Trafficking Network of Protein Nanocapsules: Endocytosis, Exocytosis and Autophagy
Jinxie Zhang, Xudong Zhang, Gan Liu et al.|Theranostics|2016
Cited by 75Open Access

The inner membrane vesicle system is a complex transport system that includes endocytosis, exocytosis and autophagy. However, the details of the intracellular trafficking pathway of nanoparticles in cells have been poorly investigated. Here, we investigate in detail the intracellular trafficking pathway of protein nanocapsules using more than 30 Rab proteins as markers of multiple trafficking vesicles in endocytosis, exocytosis and autophagy. We observed that FITC-labeled protein nanoparticles were internalized by the cells mainly through Arf6-dependent endocytosis and Rab34-mediated micropinocytosis. In addition to this classic pathway: early endosome (EEs)/late endosome (LEs) to lysosome, we identified two novel transport pathways: micropinocytosis (Rab34 positive)-LEs (Rab7 positive)-lysosome pathway and EEs-liposome (Rab18 positive)-lysosome pathway. Moreover, the cells use slow endocytosis recycling pathway (Rab11 and Rab35 positive vesicles) and GLUT4 exocytosis vesicles (Rab8 and Rab10 positive) transport the protein nanocapsules out of the cells. In addition, protein nanoparticles are observed in autophagosomes, which receive protein nanocapsules through multiple endocytosis vesicles. Using autophagy inhibitor to block these transport pathways could prevent the degradation of nanoparticles through lysosomes. Using Rab proteins as vesicle markers to investigation the detail intracellular trafficking of the protein nanocapsules, will provide new targets to interfere the cellular behaver of the nanoparticles, and improve the therapeutic effect of nanomedicine.

Systematic investigation on the intracellular trafficking network of polymeric nanoparticles
Jinxie Zhang, Danfeng Chang, Yao Yang et al.|Nanoscale|2017
Cited by 72

Polymeric nanoparticles such as PLGA-based nanoparticles are emerging as promising carriers for controlled drug delivery. However, little is known about the intracellular trafficking network of polymeric nanoparticles. Here, more than 30 Rab proteins were used as markers of multiple trafficking vesicles in endocytosis, exocytosis and autophagy to investigate in detail the intracellular trafficking pathways of PLGA nanoparticles. We observed that coumarin-6-loaded PLGA nanoparticles were internalized by the cells mainly through caveolin and clathrin-dependent endocytosis and Rab34-mediated macropinocytosis. Then the PLGA nanoparticles were transported to early endosomes (EEs), late endosomes (LEs), and finally to lysosomes. Two novel transport pathways were identified in our research: the macropinocytosis (Rab34 positive)-LE (Rab7 positive)-lysosome pathway and the EE-liposome (Rab18)-lysosome pathway. Moreover, the slow (Rab11 and Rab35 positive), fast (Rab4 positive) and apical (Rab20 and Rab25 positive) endocytic recycling endosome pathways could transport the PLGA nanoparticles to lysosomes. The PLGA nanoparticles were transported out of the cells by GLUT4 transport vesicles (Rab8, Rab10 positive), classic secretory vesicles (Rab3, Rab27 positive vesicles) and melanosomes (Rab32, Rab38 positive vesicles). Besides, the PLGA nanoparticles were observed in autophagosomes (LC3 positive), which means that the nanoparticles can be delivered by the autophagy pathway. Multiple cross-talk pathways were identified connecting autophagy and endocytosis or exocytosis by screening the co-localization of the Rab proteins with the LC3 protein. Degradation of nanoparticles through lysosomes can be blocked by autophagy inhibitors (3 MA and CQ). A better understanding of intracellular trafficking mechanisms involved in polymeric nanoparticle-based drug delivery is a prerequisite to clinical application.