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CO modulation of ion channels

Overview of attention for article published in British Journal of Pharmacology, July 2014
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Title
CO modulation of ion channels
Published in
British Journal of Pharmacology, July 2014
DOI 10.1111/bph.12760
Pubmed ID
Authors

C Peers, J P Boyle, J L Scragg, M L Dallas, M M Al‐Owais, N T Hettiarachichi, J Elies, E Johnson, N Gamper, D S Steele

Abstract

Carbon monoxide is firmly established as an important, physiological signalling molecule as well as a potent toxin. Through its ability to bind metal-containing proteins it is known to interfere with a number of intracellular signalling pathways, and such actions can account for its physiological and pathological effects. In particular, CO can modulate the intracellular production of reactive oxygen species, nitric oxide and cGMP levels, as well as regulate MAP kinase signalling. In this review, we consider ion channels as more recently discovered effectors of CO signalling. CO is now known to regulate a growing number of different ion channel types, and detailed studies of the underlying mechanisms of action are revealing unexpected findings. For example, there are clear areas of contention surrounding its ability to increase the activity of high conductance, Ca(2+) -sensitive K(+) channels. More recent studies have revealed the ability of CO to inhibit T-type Ca(2+) channels and have unveiled a novel signalling pathway underlying tonic regulation of this channel. It is clear that the investigation of ion channels as effectors of CO signalling is in its infancy, and much more work is required to fully understand both the physiological and the toxic actions of this gas. Only then can its emerging use as a therapeutic tool be fully and safely exploited.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Portugal 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Researcher 8 13%
Student > Master 8 13%
Student > Bachelor 7 11%
Student > Doctoral Student 4 6%
Other 12 19%
Unknown 13 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 21%
Medicine and Dentistry 10 16%
Biochemistry, Genetics and Molecular Biology 6 10%
Pharmacology, Toxicology and Pharmaceutical Science 6 10%
Neuroscience 4 6%
Other 8 13%
Unknown 15 24%