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Antimicrobial Peptides and Human Disease

Overview of attention for book
Attention for Chapter 6: Antimicrobial peptides in the airway.
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Chapter title
Antimicrobial peptides in the airway.
Chapter number 6
Book title
Antimicrobial Peptides and Human Disease
Published in
Current topics in microbiology and immunology, August 2006
DOI 10.1007/3-540-29916-5_6
Pubmed ID
Book ISBNs
978-3-54-029915-8, 978-3-54-029916-5
Authors

Laube DM, Yim S, Ryan LK, Kisich KO, Diamond G, D. M. Laube, S. Yim, L. K. Ryan, K. O. Kisich, G. Diamond, Laube, D. M., Yim, S., Ryan, L. K., Kisich, K. O., Diamond, G.

Abstract

The airway provides numerous defense mechanisms to prevent microbial colonization by the large numbers of bacteria and viruses present in ambient air. An important component of this defense is the antimicrobial peptides and proteins present in the airway surface fluid (ASF), the mucin-rich fluid covering the respiratory epithelium. These include larger proteins such as lysozyme and lactoferrin, as well as the cationic defensin and cathelicidin peptides. While some of these peptides, such as human beta-defensin (hBD)-1, are present constitutively, others, including hBD2 and -3 are inducible in response to bacterial recognition by Toll-like receptor-mediated pathways. These peptides can act as microbicides in the ASF, but also exhibit other activities, including potent chemotactic activity for cells of the innate and adaptive immune systems, suggesting they play a complex role in the host defense of the airway. Inhibition of antimicrobial peptide activity or gene expression can result in increased susceptibility to infections. This has been observed with cystic fibrosis (CF), where the CF phenotype leads to reduced antimicrobial capacity of peptides in the airway. Pathogenic virulence factors can inhibit defensin gene expression, as can environmental factors such as air pollution. Such an interference can result in infections by airway-specific pathogens including Bordetella bronchiseptica, Mycobacterium tuberculosis, and influenza virus. Research into the modulation of peptide gene expression in animal models, as well as the optimization of peptide-based therapeutics shows promise for the treatment and prevention of airway infectious diseases.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Colombia 1 2%
Netherlands 1 2%
Germany 1 2%
Denmark 1 2%
Poland 1 2%
Unknown 59 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Researcher 11 17%
Student > Master 7 11%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Other 13 20%
Unknown 13 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 36%
Medicine and Dentistry 7 11%
Biochemistry, Genetics and Molecular Biology 5 8%
Immunology and Microbiology 4 6%
Veterinary Science and Veterinary Medicine 3 5%
Other 8 12%
Unknown 15 23%
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 26 February 2013.
All research outputs
#20,184,694
of 22,699,621 outputs
Outputs from Current topics in microbiology and immunology
#599
of 672 outputs
Outputs of similar age
#64,428
of 66,528 outputs
Outputs of similar age from Current topics in microbiology and immunology
#15
of 15 outputs
Altmetric has tracked 22,699,621 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 672 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.
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 66,528 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 15 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.