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Animal Models to Study Links between Cardiovascular Disease and Renal Failure and Their Relevance to Human Pathology

Overview of attention for article published in Frontiers in immunology, September 2015
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Title
Animal Models to Study Links between Cardiovascular Disease and Renal Failure and Their Relevance to Human Pathology
Published in
Frontiers in immunology, September 2015
DOI 10.3389/fimmu.2015.00465
Pubmed ID
Authors

Tim D. Hewitson, Stephen G. Holt, Edward R. Smith

Abstract

The close association between cardiovascular pathology and renal dysfunction is well documented and significant. Patients with conventional risk factors for cardiovascular disease like diabetes and hypertension also suffer renal dysfunction. This is unsurprising if the kidney is simply regarded as a "modified blood vessel" and thus, traditional risk factors will affect both systems. Consistent with this, it is relatively easy to comprehend how patients with either sudden or gradual cardiac and or vascular compromise have changes in both renal hemodynamic and regulatory systems. However, patients with pure or primary renal dysfunction also have metabolic changes (e.g., oxidant stress, inflammation, nitric oxide, or endocrine changes) that affect the cardiovascular system. Thus, cardiovascular and renal systems are intimately, bidirectionally and inextricably linked. Whilst we understand several of these links, some of the mechanisms for these connections remain incompletely explained. Animal models of cardiovascular and renal disease allow us to explore such mechanisms, and more importantly, potential therapeutic strategies. In this article, we review various experimental models used, and examine critically how representative they are of the human condition.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Other 10 13%
Student > Bachelor 9 12%
Student > Ph. D. Student 8 10%
Student > Master 8 10%
Other 19 25%
Unknown 10 13%
Readers by discipline Count As %
Medicine and Dentistry 32 42%
Biochemistry, Genetics and Molecular Biology 10 13%
Agricultural and Biological Sciences 9 12%
Pharmacology, Toxicology and Pharmaceutical Science 5 6%
Engineering 3 4%
Other 5 6%
Unknown 13 17%
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 17 September 2015.
All research outputs
#23,730,072
of 26,414,132 outputs
Outputs from Frontiers in immunology
#28,709
of 33,172 outputs
Outputs of similar age
#244,840
of 284,182 outputs
Outputs of similar age from Frontiers in immunology
#150
of 160 outputs
Altmetric has tracked 26,414,132 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 33,172 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 1st percentile – i.e., 1% 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 284,182 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 160 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.