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Short- and Long-Term Tracking of Anionic Ultrasmall Nanoparticles in Kidney

Overview of attention for article published in ACS Nano, January 2016
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Short- and Long-Term Tracking of Anionic Ultrasmall Nanoparticles in Kidney
Published in
ACS Nano, January 2016
DOI 10.1021/acsnano.5b05066
Pubmed ID
Authors

Xiaowen Liang, Haolu Wang, Yian Zhu, Run Zhang, Victoria C. Cogger, Xin Liu, Zhi Ping Xu, Jeffrey E. Grice, Michael S. Roberts

Abstract

While biodistribution of nanoparticles (NPs) has been widely studied at the organ level, relatively little is known about their disposition in organs at the cellular level, especially after long-term exposure. The kidney is regarded as the key organ for the clearance of ultrasmall NPs (<5.5 nm). However, recent studies indicate that NPs in this size range could accumulate in the kidney for extended times without urinary excretion. Using negatively charged quantum dots (QDs) (∼3.7 nm) as a model system, we examined the suborgan disposition of anionic ultrasmall NPs in the kidney at the cellular level after intravenous injection by multiphoton microscopy coupled with fluorescence lifetime imaging. Most of the NPs were initially distributed in the peritubular capillaries or glomerular arterioles after injection, whereas they passed through the fenestrated glomerular endothelium and were gradually taken up by mesangial cells up to 30 days after injection. Only trace amounts of anionic QDs could be detected in the urine, which could be attributed to the barrier of the anionic glomerular basement membrane preventing filtration of anionic QDs. In contrast, cationic QDs of similar size (∼5.67 nm) were found to be readily excreted into urine. This study thus highlights the importance of surface charge in determining renal clearance of ultrasmall NPs. It provides a framework for characterizing and predicting the subcellular disposition in organs and long-term targeting of other NPs, with a physiologically based kinetic model being subsequently developed to describe the suborgan kinetics of anionic ultrasmall NPs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
South Africa 1 1%
Unknown 81 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 24%
Student > Master 14 17%
Researcher 6 7%
Student > Postgraduate 5 6%
Student > Bachelor 4 5%
Other 13 16%
Unknown 21 25%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 18 22%
Chemistry 12 14%
Agricultural and Biological Sciences 10 12%
Medicine and Dentistry 6 7%
Materials Science 5 6%
Other 10 12%
Unknown 22 27%
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 23 January 2016.
All research outputs
#6,110,679
of 22,840,638 outputs
Outputs from ACS Nano
#5,516
of 12,846 outputs
Outputs of similar age
#98,670
of 395,522 outputs
Outputs of similar age from ACS Nano
#119
of 274 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 12,846 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 56% 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 395,522 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 74% of its contemporaries.
We're also able to compare this research output to 274 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 56% of its contemporaries.