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Non-invasive dynamic near-infrared imaging and quantification of vascular leakage in vivo

Overview of attention for article published in Angiogenesis, January 2013
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Title
Non-invasive dynamic near-infrared imaging and quantification of vascular leakage in vivo
Published in
Angiogenesis, January 2013
DOI 10.1007/s10456-013-9332-2
Pubmed ID
Authors

Steven T. Proulx, Paola Luciani, Annamari Alitalo, Viviane Mumprecht, Ailsa J. Christiansen, Reto Huggenberger, Jean-Christophe Leroux, Michael Detmar

Abstract

Preclinical vascular research has been hindered by a lack of methods that can sensitively image and quantify vascular perfusion and leakage in vivo. In this study, we have developed dynamic near-infrared imaging methods to repeatedly visualize and quantify vascular leakage in mouse skin in vivo, and we have applied these methods to transgenic mice with overexpression of vascular endothelial growth factors VEGF-A or -C. Near-infrared dye conjugates were developed to identify a suitable vascular tracer that had a prolonged circulation lifetime and slow leakage into normal tissue after intravenous injection. Dynamic simultaneous imaging of ear skin and a large blood vessel in the leg enabled determination of the intravascular signal (blood volume fraction) from the tissue signal shortly after injection and quantifications of vascular leakage into the extravascular tissue over time. This method allowed for the sensitive detection of increased blood vascularity and leakage rates in K14-VEGF-A transgenic mice and also reliably measured inflammation-induced changes of vascularity and leakage over time in the same mice. Measurements after injection of recombinant VEGF-A surprisingly revealed increased blood vascular leakage and lymphatic clearance in K14-VEGF-C transgenic mice which have an expanded cutaneous lymphatic vessel network, potentially indicating unanticipated effects of lymphatic drainage on vascular leakage. Increased vascular leakage was also detected in subcutaneous tumors, confirming that the method can also be applied to deeper tissues. This new imaging method might facilitate longitudinal investigations of the in vivo effects of drug candidates, including angiogenesis inhibitors, in preclinical disease models.

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Mendeley readers

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The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Netherlands 1 2%
Australia 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Researcher 7 12%
Student > Master 7 12%
Student > Bachelor 5 8%
Professor > Associate Professor 4 7%
Other 13 22%
Unknown 8 13%
Readers by discipline Count As %
Medicine and Dentistry 15 25%
Agricultural and Biological Sciences 12 20%
Engineering 6 10%
Biochemistry, Genetics and Molecular Biology 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 12 20%
Unknown 7 12%
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 18 January 2013.
All research outputs
#20,178,948
of 22,693,205 outputs
Outputs from Angiogenesis
#439
of 536 outputs
Outputs of similar age
#251,886
of 284,627 outputs
Outputs of similar age from Angiogenesis
#6
of 10 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 536 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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