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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 Surgical Infectionsarrow_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
Surgical Infections
Article . 2018 . Peer-reviewed
License: Mary Ann Liebert TDM
Data sources: Crossref
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Pathogen- and Danger-Associated Molecular Patterns and the Cytokine Response in Sepsis

Authors: Arezoo, Rajaee; Rebecca, Barnett; William G, Cheadle;

Pathogen- and Danger-Associated Molecular Patterns and the Cytokine Response in Sepsis

Abstract

The sepsis syndrome is a systemic host inflammatory response accompanied by organ dysfunction in response to invading microbial pathogens. The host recognizes both danger and pathogens through its pattern recognition receptors on immune cells. These receptors bind to pathogen- (PAMP) and danger- (DAMP) associated molecular patterns derived from microbes and host tissues, respectively. These processes set in motion a cascade of events in host cells and tissue, which activate multiple cytokines that serve as activators of the host inflammatory response as well as eventually lead to resolution of the response if the host recovers. The following article describes some of these DAMPs and PAMPs, and how they activate pathways that activate the host cytokine immune response to injury and infection.

Related Organizations
Keywords

Sepsis, Pathogen-Associated Molecular Pattern Molecules, Animals, Cytokines, Humans, Receptors, Immunologic, 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.
    Top 1%
    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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Powered by OpenAIRE graph
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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!
77
Top 1%
Top 10%
Top 1%
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