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Cationic nanoparticles directly bind angiotensin-converting enzyme 2 and induce acute lung injury in mice

Overview of attention for article published in Particle and Fibre Toxicology, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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3 X users
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1 patent

Citations

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Title
Cationic nanoparticles directly bind angiotensin-converting enzyme 2 and induce acute lung injury in mice
Published in
Particle and Fibre Toxicology, March 2015
DOI 10.1186/s12989-015-0080-x
Pubmed ID
Authors

Yang Sun, Feng Guo, Zhen Zou, Chenggang Li, Xiaoxu Hong, Yan Zhao, Chenxuan Wang, Hongliang Wang, Haolin Liu, Peng Yang, Zongsheng Han, Kangtai Liu, Keiji Kuba, Bin Song, Jinming Gao, Ziyao Mo, Dangsheng Li, Bo Li, Qihan Li, Nanshan Zhong, Chen Wang, Josef M Penninger, Chengyu Jiang

Abstract

Nanoparticles have become a key technology in multiple industries. However, there are growing reports of the toxicity of nanomaterials to humans. In particular, nanomaterials have been linked to lung diseases. The molecular mechanisms of nanoparticle toxicity are largely unexplored. Acute lung injury was induced in wild-type mice and angiotensin-coverting enzyme 2 (ACE2) knockout mice by the intratracheal instillation of cationic polyamidoamine dendrimer (PAMAM) nanoparticles. For rescue experiments, losartan (15 mg/kg in PBS) was injected intraperitoneally 30 min before nanoparticle administration. Some PAMAM nanoparticles, but not anionic PAMAM nanoparticles or carbon nanotubes, triggered acute lung failure in mice. Mechanistically, cationic nanoparticles can directly bind ACE2, decrease its activity and down-regulate its expression level in lung tissue, resulting in deregulation of the renin-angiotensin system. Gene inactivation of Ace2 can exacerbate lung injury. Importantly, the administration of losartan, which is an angiotensin II type I receptor antagonist, can ameliorate PAMAM nanoparticle-induced lung injury. Our data provide molecular insight into PAMAM nanoparticle-induced lung injury and suggest potential therapeutic and screening strategies to address the safety of nanomaterials.

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X Demographics

The data shown below were collected from the profiles of 3 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Other 7 15%
Researcher 7 15%
Student > Master 6 13%
Student > Bachelor 3 6%
Student > Doctoral Student 3 6%
Other 10 21%
Unknown 12 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 19%
Medicine and Dentistry 6 13%
Agricultural and Biological Sciences 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Engineering 3 6%
Other 10 21%
Unknown 13 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 January 2022.
All research outputs
#5,791,037
of 23,656,895 outputs
Outputs from Particle and Fibre Toxicology
#197
of 583 outputs
Outputs of similar age
#63,634
of 259,760 outputs
Outputs of similar age from Particle and Fibre Toxicology
#4
of 8 outputs
Altmetric has tracked 23,656,895 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 583 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has gotten more attention than average, scoring higher than 66% 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 259,760 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.