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Annals of the New York Academy of Sciences
Article . 2008 . Peer-reviewed
License: Wiley Online Library User Agreement
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Toll‐Like Receptors and Diabetes

Authors: Wong, FS; Wen, L;

Toll‐Like Receptors and Diabetes

Abstract

Toll‐like receptors (TLRs) recognize molecular patterns relating to a variety of microbial infections. Stimulation through TLRs leads to activation of antigen‐presenting cells, production of inflammatory cytokines creating inflammation, and production of type 1 interferons (IFNs) that include IFN‐α and ‐β, and exerts direct effects on regulatory cells. These effects can direct the immune response, dealing with the immediate problems of infection and activating more specific responses of the adaptive immune system. However, it has recently been recognized that these receptors may recognize endogenous ligands that include DNA, RNA, and proteins that arise from cellular stress. This may have an effect on autoimmune responses in a number of ways, both activating and inhibitory. The means by which infection or endogenous stimuli through TLRs may influence autoimmunity will be discussed.

Country
United Kingdom
Related Organizations
Keywords

Toll-Like Receptors, Diabetes Mellitus, Animals, Humans, Autoimmunity, Infections, Models, Biological, T-Lymphocytes, Regulatory, Immunity, Innate

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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!
50
Top 10%
Top 10%
Top 10%
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