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Increased healthy osteoblast to osteosarcoma density ratios on specific PLGA nanopatterns

Overview of attention for article published in International Journal of Nanomedicine, January 2013
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Title
Increased healthy osteoblast to osteosarcoma density ratios on specific PLGA nanopatterns
Published in
International Journal of Nanomedicine, January 2013
DOI 10.2147/ijn.s36408
Pubmed ID
Authors

Yongchen Wang, Lijuan Zhang, Linlin Sun, Thomas J Webster

Abstract

Poly(lactic-co-glycolic acid) ([PLGA] 50:50 wt% PLA:PGA) films with a flat surface and with 27 nm, 190 nm, 300 nm, 400 nm, and 520 nm nanopatterns were fabricated using a cast-mold process. The nanopatterns were transferred from self-assembled polystyrene (PS) beads to PLGA films through polydimethylsiloxane (PDMS) molds. The surface features, root-mean- square (RMS) roughness, and wettability of these PLGA surface features were studied by atomic force microscope (AFM) height scans, AFM z-sensor scans, and water contact angles, respectively. In order to evaluate the influence of the material topography alone (without changes in chemistry) for bone-cancer applications, both human healthy osteoblasts and human cancerous osteosarcoma cells were cultured on these PLGA surface features, and their densities were determined. Most importantly, compared to all other substrates, it was found that the 27 nm PLGA nanopatterns significantly increased the healthy osteoblast-to-osteosarcoma cell-density ratio. For these reasons, and since previous studies have highlighted that similar nanometer PLGA surface features decreased functions of other types of cancerous cells (specifically lung and breast), this study suggests that 27 nm PLGA nanopatterns should be further studied for a wide range of bone-cancer applications, particularly where healthy bone-cell functions need to be promoted over cancerous bone-cell functions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Student > Ph. D. Student 4 25%
Student > Master 3 19%
Lecturer 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 25%
Chemistry 2 13%
Engineering 2 13%
Medicine and Dentistry 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 4 25%
Unknown 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 January 2013.
All research outputs
#20,823,121
of 25,584,565 outputs
Outputs from International Journal of Nanomedicine
#3,113
of 4,077 outputs
Outputs of similar age
#229,887
of 289,948 outputs
Outputs of similar age from International Journal of Nanomedicine
#46
of 58 outputs
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