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A Low Cost Implantation Model in the Rat That Allows a Spatial Assessment of Angiogenesis

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, February 2018
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Title
A Low Cost Implantation Model in the Rat That Allows a Spatial Assessment of Angiogenesis
Published in
Frontiers in Bioengineering and Biotechnology, February 2018
DOI 10.3389/fbioe.2018.00003
Pubmed ID
Authors

Paul Slezak, Cyrill Slezak, Joachim Hartinger, Andreas Herbert Teuschl, Sylvia Nürnberger, Heinz Redl, Rainer Mittermayr

Abstract

There is continual demand for animal models that allow a quantitative assessment of angiogenic properties of biomaterials, therapies, and pharmaceuticals. In its simplest form, this is done by subcutaneous material implantation and subsequent vessel counting which usually omits spatial data. We have refined an implantation model and paired it with a computational analytic routine which outputs not only vessel count but also vessel density, distribution, and vessel penetration depth, that relies on a centric vessel as a reference point. We have successfully validated our model by characterizing the angiogenic potential of a fibrin matrix in conjunction with recombinant human vascular endothelial growth factor (rhVEGF165). The inferior epigastric vascular pedicles of rats were sheathed with silicone tubes, which were subsequently filled with 0.2 ml of fibrin and different doses of rhVEGF165, centrically embedding the vessels. Over 4 weeks, tissue samples were harvested and subsequently immunohistologically stained and computationally analyzed. The model was able to detect variations over the angiogenic potentials of growth factor spiked fibrin matrices. Adding 20 ng of rhVEGF165 resulted in a significant increase in vasculature while 200 ng of rhVEGF165 did not improve vascular growth. Vascularized tissue volume increased during the first week and vascular density increased during the second week. Total vessel count increased significantly and exhibited a peak after 2 weeks which was followed by a resorption of vasculature by week 4. In summary, a simple implantation model to studyin vivovascularization with only a minimal workload attached was enhanced to include morphologic data of the emerging vascular tree.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 29%
Student > Ph. D. Student 3 21%
Student > Doctoral Student 1 7%
Other 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Medicine and Dentistry 3 21%
Agricultural and Biological Sciences 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Business, Management and Accounting 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Other 3 21%
Unknown 3 21%
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 05 February 2018.
All research outputs
#18,585,544
of 23,020,670 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,443
of 6,719 outputs
Outputs of similar age
#327,807
of 437,326 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#23
of 32 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,719 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 437,326 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.