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Hyaluronic acid decreases IL-6 and IL-8 secretion and permeability in an inflammatory model of interstitial cystitis.

Overview of attention for article published in Acta Biomaterialia, March 2015
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Title
Hyaluronic acid decreases IL-6 and IL-8 secretion and permeability in an inflammatory model of interstitial cystitis.
Published in
Acta Biomaterialia, March 2015
DOI 10.1016/j.actbio.2015.02.030
Pubmed ID
Authors

Peadar, Rooney, Srivastava, Akshay, Watson, Luke, Quinlan, Leo R, Pandit, Abhay

Abstract

Hyaluronic acid (HA) has received a lot of attention recently as a biomaterial with applications in wound healing, drug delivery, vascular repair and cell and/or gene delivery. Interstitial cystitis (IC) is characterised by an increase in the permeability of the bladder wall urothelium due to loss of the glycosaminoglycan (GAG) layer. The degradation of the urothelium leads to chronic pain and urinary dysfunction. The aetiology of the degradation of the GAG layer in this instance is currently unknown. At a clinical level, GAG replacement therapy using a HA solution is currently utilised as a treatment for IC. However, there is a significant lack of data on the mechanism of action of HA in IC. The current study investigates the mechanistic effect of clinically relevant HA treatment on an in vitro model of IC using urothelial cells, examining cytokine secretion, GAG secretion and trans-epithelial permeability. This study demonstrates that HA can significantly decrease induced cytokine secretion (4-5 fold increase), increase sulphated GAG production (2-fold increase) and without altering tight junction expression, decrease trans-epithelial permeability, suggesting that the HA pathway is a clinical target and potential treatment vector.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Ireland 1 3%
India 1 3%
Unknown 36 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Other 6 15%
Student > Bachelor 5 13%
Student > Master 5 13%
Student > Ph. D. Student 5 13%
Other 10 25%
Readers by discipline Count As %
Medicine and Dentistry 12 30%
Agricultural and Biological Sciences 7 18%
Unspecified 4 10%
Biochemistry, Genetics and Molecular Biology 4 10%
Materials Science 3 8%
Other 10 25%

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 12 January 2016.
All research outputs
#5,956,235
of 6,945,952 outputs
Outputs from Acta Biomaterialia
#823
of 1,055 outputs
Outputs of similar age
#248,458
of 304,482 outputs
Outputs of similar age from Acta Biomaterialia
#46
of 65 outputs
Altmetric has tracked 6,945,952 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 1,055 research outputs from this source. They receive a mean Attention Score of 4.5. 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 65 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.