Title |
Pattern recognition receptors as potential therapeutic targets in inflammatory rheumatic disease
|
---|---|
Published in |
Arthritis Research & Therapy, May 2015
|
DOI | 10.1186/s13075-015-0645-y |
Pubmed ID | |
Authors |
Lisa M Mullen, Giselle Chamberlain, Sandra Sacre |
Abstract |
The pattern recognition receptors of the innate immune system are part of the first line of defence against pathogens. However, they also have the ability to respond to danger signals that are frequently elevated during tissue damage and at sites of inflammation. Inadvertent activation of pattern recognition receptors has been proposed to contribute to the pathogenesis of many conditions including inflammatory rheumatic diseases. Prolonged inflammation most often results in pain and damage to tissues. In particular, the Toll-like receptors and nucleotide-binding oligomerisation domain-like receptors that form inflammasomes have been postulated as key contributors to the inflammation observed in rheumatoid arthritis, osteoarthritis, gout and systemic lupus erythematosus. As such, there is increasing interest in targeting these receptors for therapeutic treatment in the clinic. Here the role of pattern recognition receptors in the pathogenesis of these diseases is discussed, with an update on the development of interventions to modulate the activity of these potential therapeutic targets. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 40% |
Turkey | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 40% |
Practitioners (doctors, other healthcare professionals) | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Canada | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 75 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 17 | 22% |
Student > Ph. D. Student | 9 | 12% |
Student > Bachelor | 8 | 10% |
Student > Doctoral Student | 7 | 9% |
Student > Master | 5 | 6% |
Other | 14 | 18% |
Unknown | 17 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 20 | 26% |
Biochemistry, Genetics and Molecular Biology | 12 | 16% |
Immunology and Microbiology | 6 | 8% |
Agricultural and Biological Sciences | 6 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
Other | 8 | 10% |
Unknown | 22 | 29% |