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Transport patterns of anti-TNF-α in burn wounds: Therapeutic implications of hyaluronic acid conjugation

Overview of attention for article published in Clinical Materials, November 2016
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Title
Transport patterns of anti-TNF-α in burn wounds: Therapeutic implications of hyaluronic acid conjugation
Published in
Clinical Materials, November 2016
DOI 10.1016/j.biomaterials.2016.11.003
Pubmed ID
Authors

Emily E. Friedrich, Newell R. Washburn

Abstract

A central complication in burn injuries is progression of the zone of necrosis, which is associated with intense inflammatory responses. Conjugation of monoclonal antibodies against tumor necrosis factor-α (TNF-α), a central mediator of inflammation, to high molecular weight hyaluronic acid (HA) has been shown to be an effective treatment in reducing secondary necrosis in rodent models of deep partial-thickness burns. Here the transport of conjugated and non-conjugated antibodies in burn injuries was investigated to explore the effects of antibody tethering on the spatiotemporal distribution of anti-TNF-α. Diffusion constants were measured in solution and in type I collagen gels in vitro using fluorescence correlation spectroscopy to provide quantitative comparisons of the effects of conjugation. It is shown that the HA significantly increased the antibody residence time in the superficial region at 24 h in burn injuries, which strongly correlated with the pattern of inflammatory cell infiltrate in the tissue. A transport model was used to fit the results of antibody distribution in the tissue based on fluorescence correlation spectroscopy measurements, resulting in estimates for effective diffusion constants that demonstrate the effects of HA conjugation on the biodistribution of therapeutic proteins. These results demonstrate that tuning residence time of therapeutic proteins can be an effective strategy in regulating the inflammatory response associated with acute injuries.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 13%
Student > Ph. D. Student 5 11%
Student > Bachelor 5 11%
Student > Master 4 9%
Student > Postgraduate 3 7%
Other 8 17%
Unknown 15 33%
Readers by discipline Count As %
Medicine and Dentistry 9 20%
Agricultural and Biological Sciences 5 11%
Biochemistry, Genetics and Molecular Biology 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Materials Science 3 7%
Other 6 13%
Unknown 17 37%
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 04 December 2016.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Clinical Materials
#10,081
of 10,751 outputs
Outputs of similar age
#277,557
of 317,470 outputs
Outputs of similar age from Clinical Materials
#104
of 136 outputs
Altmetric has tracked 25,374,917 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 10,751 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.