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Antitumor Activity of Doxorubicin-Loaded Carbon Nanotubes Incorporated Poly(Lactic-Co-Glycolic Acid) Electrospun Composite Nanofibers

Overview of attention for article published in Discover Nano, August 2015
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Title
Antitumor Activity of Doxorubicin-Loaded Carbon Nanotubes Incorporated Poly(Lactic-Co-Glycolic Acid) Electrospun Composite Nanofibers
Published in
Discover Nano, August 2015
DOI 10.1186/s11671-015-1044-7
Pubmed ID
Authors

Yuan Yu, Lijun Kong, Lan Li, Naie Li, Peng Yan

Abstract

The drug-loaded composite electrospun nanofiber has attracted more attention in biomedical field, especially in cancer therapy. In this study, a composite nanofiber was fabricated by electrospinning for cancer treatment. Firstly, the carbon nanotubes (CNTs) were selected as carriers to load the anticancer drug-doxorubicin (DOX) hydrochloride. Secondly, the DOX-loaded CNTs (DOX@CNTs) were incorporated into the poly(lactic-co-glycolic acid) (PLGA) nanofibers via electrospinning. Finally, a new drug-loaded nanofibrous scaffold (PLGA/DOX@CNTs) was formed. The properties of the prepared composite nanofibrous mats were characterized by various techniques. The release profiles of the different DOX-loaded nanofibers were measured, and the in vitro antitumor efficacy against HeLa cells was also evaluated. The results showed that DOX-loaded CNTs can be readily incorporated into the nanofibers with relatively uniform distribution within the nanofibers. More importantly, the drug from the composite nanofibers can be released in a sustained and prolonged manner, and thereby, a significant antitumor efficacy in vitro is obtained. Thus, the prepared composite nanofibrous mats are a promising alternative for cancer treatment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 35%
Student > Master 7 11%
Student > Bachelor 5 8%
Researcher 4 6%
Other 3 5%
Other 3 5%
Unknown 18 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 13%
Engineering 8 13%
Agricultural and Biological Sciences 5 8%
Materials Science 4 6%
Medicine and Dentistry 4 6%
Other 12 19%
Unknown 21 34%