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Understanding the regulation of pattern recognition receptors in inflammatory diseases – a ‘Nod’ in the right direction

Overview of attention for article published in Immunology, November 2016
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Title
Understanding the regulation of pattern recognition receptors in inflammatory diseases – a ‘Nod’ in the right direction
Published in
Immunology, November 2016
DOI 10.1111/imm.12677
Pubmed ID
Authors

Claire L. Feerick, Declan P. McKernan

Abstract

NOD-like receptors (NLRs) are a family of 23 receptors known as pattern recognition receptors (PRRs), they are expressed in many cell types and play a key role in the innate immune response. The NLRs are activated by pathogen associated molecular patterns (PAMPs) which include structurally conserved molecules present on the surfaces of bacteria. The activation of these NLRs by pathogens results in the downstream activation of signalling kinases and transcription factors, culminating in the transcription of genes coding for pro-inflammatory factors. NLR expression is altered in many cellular, physiological and disease states. There is a lack of understanding of the mechanisms by which NLR expression is regulated, particularly in chronic inflammatory states. Genetic polymorphisms and protein interactions are included in such mechanisms. This review seeks to examine the current knowledge regarding the regulation of this family of receptors and their signalling pathways as well as how their expression changes in disease states with particular focus on NOD1 and NOD2 in inflammatory bowel diseases amongst others. This article is protected by copyright. All rights reserved.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 1%
Unknown 73 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 18%
Student > Master 13 18%
Researcher 11 15%
Student > Bachelor 9 12%
Student > Doctoral Student 7 9%
Other 8 11%
Unknown 13 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 19%
Agricultural and Biological Sciences 12 16%
Immunology and Microbiology 12 16%
Medicine and Dentistry 8 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 7 9%
Unknown 18 24%