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A specific plasminogen activator inhibitor‐1 antagonist derived from inactivated urokinase

Overview of attention for article published in Journal of Cellular and Molecular Medicine, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
18 Mendeley
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Title
A specific plasminogen activator inhibitor‐1 antagonist derived from inactivated urokinase
Published in
Journal of Cellular and Molecular Medicine, May 2016
DOI 10.1111/jcmm.12875
Pubmed ID
Authors

Lihu Gong, Valerie Proulle, Chao Fang, Zebin Hong, Zhonghui Lin, Min Liu, Guangpu Xue, Cai Yuan, Lin Lin, Barbara Furie, Robert Flaumenhaft, Peter Andreasen, Bruce Furie, Mingdong Huang

Abstract

Fibrinolysis is a process responsible for the dissolution of formed thrombi to re-establish blood flow after thrombus formation. Plasminogen activator inhibitor-1 (PAI-1) inhibits urokinase-type and tissue-type plasminogen activator (uPA and tPA) and is the major negative regulator of fibrinolysis. Inhibition of PAI-1 activity prevents thrombosis and accelerates fibrinolysis. However, a specific antagonist of PAI-1 is currently unavailable for therapeutic use. We screened a panel of uPA variants with mutations at and near the active site to maximize their binding to PAI-1 and identified a potent PAI-1 antagonist, PAItrap. PAItrap is the serine protease domain of urokinase containing active-site mutation (S195A) and four additional mutations (G37bR-R217L-C122A-N145Q). PAItrap inhibits human recombinant PAI-1 with high potency (Kd = 0.15 nM) and high specificity. In vitro using human plasma, PAItrap showed significant thrombolytic activity by inhibiting endogenous PAI-1. In addition, PAItrap inhibits both human and murine PAI-1, allowing the evaluation in murine models. In vivo, using a laser-induced thrombosis mouse model in which thrombus formation and fibrinolysis are monitored by intravital microscopy, PAItrap reduced fibrin generation and inhibited platelet accumulation following vascular injury. Therefore, this work demonstrates the feasibility to generate PAI-1 inhibitors using inactivated urokinase.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Professor 3 17%
Other 2 11%
Researcher 2 11%
Student > Ph. D. Student 2 11%
Student > Bachelor 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline Count As %
Medicine and Dentistry 3 17%
Biochemistry, Genetics and Molecular Biology 2 11%
Materials Science 2 11%
Agricultural and Biological Sciences 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 8 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 02 May 2019.
All research outputs
#2,471,640
of 22,873,031 outputs
Outputs from Journal of Cellular and Molecular Medicine
#127
of 3,480 outputs
Outputs of similar age
#45,232
of 333,293 outputs
Outputs of similar age from Journal of Cellular and Molecular Medicine
#6
of 43 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,480 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 96% 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 333,293 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 86% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.