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[Damage-associated molecular patterns and chronic diseases].

Authors: Hong-Zhen, Yang; Wen-Feng, Cai; Zhuo-Wei, Hu;

[Damage-associated molecular patterns and chronic diseases].

Abstract

Molecules of damage-associated molecular patterns (DAMPs) are a class of substances released to intercellular space or peripheral blood by tissues or cells which are stimulated by insults, ischemia or stress. DAMP molecules can be recognized by Toll like receptors, Nod1-like receptors, or Rig-I like receptors and induce autoimmunity or immune tolerance, which play critical roles in various chronic diseases such as arthritis, atherosclerosis, cancer and systemic lupus erythematosus. DAMP molecules include high-mobility group B protein 1, heat shock proteins and S100 proteins etc. The identification of DAMP molecules and clarification of mechanisms of their action will greatly contribute to reveal the pathological mechanisms of chronic diseases and provide a great opportunity to develop the new strategies for the diagnosis, prevention and treatment for these diseases.

Related Organizations
Keywords

Inflammation, Chronic Disease, S100 Proteins, Toll-Like Receptors, Animals, Humans, HMGB1 Protein, Heat-Shock Proteins

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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!
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Average
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