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pH-Responsive Triblock Copolymeric Micelles Decorated with a Cell-Penetrating Peptide Provide Efficient Doxorubicin Delivery

Overview of attention for article published in Discover Nano, December 2016
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Title
pH-Responsive Triblock Copolymeric Micelles Decorated with a Cell-Penetrating Peptide Provide Efficient Doxorubicin Delivery
Published in
Discover Nano, December 2016
DOI 10.1186/s11671-016-1755-4
Pubmed ID
Authors

Khen Eng Ng, Mohd Cairul Iqbal Mohd Amin, Haliza Katas, Muhammad Wahab Amjad, Adeel Masood Butt, Prashant Kesharwani, Arun K. Iyer

Abstract

This study developed novel triblock pH-responsive polymeric micelles (PMs) using cholic acid-polyethyleneimine-poly-L-arginine (CA-PEI-pArg) copolymers. PEI provided pH sensitivity, while the hydrophilic cell-penetrating pArg peptide promoted cellular PM internalization. The copolymers self-assembled into PMs in aqueous solution at above the critical micelle concentration (2.98 × 10(-7) M) and encapsulated doxorubicin in the core region, with a 34.2% (w/w) entrapment efficiency. PMs showed pH-dependent swelling, increasing in size by almost sevenfold from pH 7.4 to 5.0. Doxorubicin release was pH-dependent, with about 65% released at pH 5.0, and 32% at pH 7.4. Cellular uptake, assessed by confocal microscopy and flow cytometry, was enhanced by using doxorubicin-loaded CA-PEI-pArg PMs, as compared to free doxorubicin and DOX-loaded CA-PEI PMs. Moreover, 24-h incubation of these PMs with a human breast cancer cell line produced greater cytotoxicity than free doxorubicin. These results indicate that pH-responsive CA-PEI-pArg micelles could provide a versatile delivery system for targeted cancer therapy using hydrophobic drugs. Graphical of CA-PEI-pArg polymeric micelles as a pH-responsive drug delivery system.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 18%
Student > Doctoral Student 4 14%
Professor > Associate Professor 4 14%
Researcher 3 11%
Student > Master 3 11%
Other 4 14%
Unknown 5 18%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 9 32%
Chemistry 3 11%
Medicine and Dentistry 3 11%
Agricultural and Biological Sciences 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 4 14%
Unknown 6 21%