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Pharmacology of Itch

Overview of attention for book
Attention for Chapter 7: Itch Control by Toll-Like Receptors.
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Chapter title
Itch Control by Toll-Like Receptors.
Chapter number 7
Book title
Pharmacology of Itch
Published in
Handbook of experimental pharmacology, January 2015
DOI 10.1007/978-3-662-44605-8_7
Pubmed ID
Book ISBNs
978-3-66-244604-1, 978-3-66-244605-8
Authors

Taves, Sarah, Ji, Ru-Rong, Sarah Taves, Ru-Rong Ji

Abstract

Toll-like receptors (TLRs) are cellular sensors designed to recognize molecular danger signals associated with exogenous or endogenous threats. Their activation leads to initiation of the host's immune responses in order to remove or contain the danger. However, one of the most effective methods of defense against invading pathogens and parasites is itch. The perception of itch elicits the rapid defensive action to scratch, which can remove the offending pathogen or parasite before infection can occur. Recent findings show that TLRs such as TLR3, TLR4, and TLR7 are expressed in a subset of pruriceptive/nociceptive neurons in the dorsal root and trigeminal ganglion providing a direct link between TLR activation and itch. Activation of neuronal TLRs can initiate itch sensation by coupling with ion channels. Furthermore, TLRs are expressed in skin cells and glial cells in the spinal cord to regulate inflammation and neuroinflammation in chronic itch. Thus, identification of the role of TLRs in neurons, skin cells, and glial cells may provide new targets for the treatment of chronic itch, a common clinical problem associated with skin diseases, systemic diseases, and metabolic disorders, for which current treatments are far from sufficient.

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The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 25%
Student > Master 4 13%
Student > Postgraduate 3 9%
Student > Ph. D. Student 3 9%
Researcher 3 9%
Other 2 6%
Unknown 9 28%
Readers by discipline Count As %
Medicine and Dentistry 12 38%
Neuroscience 5 16%
Agricultural and Biological Sciences 1 3%
Immunology and Microbiology 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 4 13%
Unknown 8 25%