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Formulation and Evaluation of Anisamide-Targeted Amphiphilic Cyclodextrin Nanoparticles To Promote Therapeutic Gene Silencing in a 3D Prostate Cancer Bone Metastases Model

Overview of attention for article published in Molecular Pharmaceutics, November 2016
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
Formulation and Evaluation of Anisamide-Targeted Amphiphilic Cyclodextrin Nanoparticles To Promote Therapeutic Gene Silencing in a 3D Prostate Cancer Bone Metastases Model
Published in
Molecular Pharmaceutics, November 2016
DOI 10.1021/acs.molpharmaceut.6b00646
Pubmed ID
Authors

James C. Evans, Meenakshi Malhotra, Kathleen A. Fitzgerald, Jianfeng Guo, Michael F. Cronin, Caroline M. Curtin, Fergal J. O’Brien, Raphael Darcy, Caitriona M. O’Driscoll

Abstract

In recent years, RNA interference (RNAi) has emerged as a potential therapeutic offering the opportunity to treat a wide range of diseases, including prostate cancer. Modified cyclodextrins have emerged as effective gene delivery vectors in a range of disease models. The main objective of the current study was to formulate anisamide-targeted cyclodextrin nanoparticles to interact with the sigma receptor (overexpressed on the surface of prostate cancer cells). The inclusion of octaarginine in the nanoparticle optimized uptake and endosomal release of siRNA in two different prostate cancer cell lines (PC3 and DU145 cells). Resulting nanoparticles were less than 200 nm in size with a cationic surface charge (∼+20 mV). In sigma receptor-positive cell lines, the uptake of anisamide-targeted nanoparticles was reduced in the presence of the sigma receptor competitive ligand, haloperidol. When cells were transfected in 2D, the levels of PLK1 mRNA knockdown elicited by targeted versus untargeted nanoparticles tended to be greater but the differences were not statistically different. In contrast, when cells were grown on 3D scaffolds, recapitulating bone metastasis, targeted formulations showed significantly higher levels of PLK1 mRNA knockdown (46% for PC3 and 37% for DU145, p < 0.05). To our knowledge, this is the first time that a targeted cyclodextrin has been used to transfect prostate cancer cells in a 3D model of bone metastasis.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Researcher 8 17%
Student > Bachelor 6 13%
Other 5 11%
Student > Master 4 9%
Other 5 11%
Unknown 7 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 20%
Pharmacology, Toxicology and Pharmaceutical Science 7 15%
Engineering 6 13%
Chemistry 3 7%
Agricultural and Biological Sciences 3 7%
Other 9 20%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 27 October 2017.
All research outputs
#6,363,166
of 22,901,818 outputs
Outputs from Molecular Pharmaceutics
#883
of 4,121 outputs
Outputs of similar age
#116,439
of 415,120 outputs
Outputs of similar age from Molecular Pharmaceutics
#15
of 49 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,121 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 415,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.