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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Cardiotho...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Cardiothoracic and Vascular Anesthesia
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Biased Agonism: The Future (and Present) of Inotropic Support

Authors: Huw Garland; Alain Vuylsteke;

Biased Agonism: The Future (and Present) of Inotropic Support

Abstract

Biased agonism, which is the concept that different ligands activate different downstream signalling partners in different ratios to cause different functional effects, is yet to gain appropriate appreciation in the field of inotropic pharmacology. Biased agonism has already proven to be a clinically translatable technology in analgesic pharmacology, but this development is yet to be translated into inotropes. A better appreciation of bias in clinically used inotropes and a focus on bias when developing novel inotropes has the potential to lead to more targeted, personalized, and cleaner inotropes.

Keywords

Analgesics, Humans, Cardiovascular Agents, Ligands, Signal Transduction

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
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