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Translational Research in Pain and Itch

Overview of attention for book
Attention for Chapter 1: Assessment of Itch and Pain in Animal Models and Human Subjects
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Chapter title
Assessment of Itch and Pain in Animal Models and Human Subjects
Chapter number 1
Book title
Translational Research in Pain and Itch
Published in
Advances in experimental medicine and biology, January 2016
DOI 10.1007/978-94-017-7537-3_1
Pubmed ID
Book ISBNs
978-9-40-177535-9, 978-9-40-177537-3
Authors

Tangmi Yuan, Juan Li, Le Shen, Wanying Zhang, Tao Wang, Yinyan Xu, Jie Zhu, Yuguang Huang, Chao Ma, Yuan, Tangmi, Li, Juan, Shen, Le, Zhang, Wanying, Wang, Tao, Xu, Yinyan, Zhu, Jie, Huang, Yuguang, Ma, Chao

Abstract

For the past century, scientists have developed a variety of methods to evaluate itch and pain in both animal models and human subjects to throw light on some of the most important pathways mediating these unpleasant sensations. Discoveries in the mechanisms underlying itch and pain in both physiological and pathological conditions relied greatly upon these studies and may eventually lead to the discovery of new therapeutics. However, it was a much more complicated job to access itch and pain in animal models than in human subjects due to the subjective nature of these sensations. The results could be contradictory or even misleading when applying different methodologies in animal models, especially under pathological conditions with a mixed sensation of itch and pain. This chapter introduces and evaluates some of the classical and newly designed methodologies to access the sensation of itch and pain in animal models as well as human subjects.

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The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Student > Bachelor 4 20%
Professor 2 10%
Lecturer 1 5%
Other 1 5%
Other 1 5%
Unknown 6 30%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 4 20%
Biochemistry, Genetics and Molecular Biology 3 15%
Neuroscience 2 10%
Medicine and Dentistry 2 10%
Engineering 2 10%
Other 2 10%
Unknown 5 25%