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Beyond Toll-Like Receptors: Porphyromonas gingivalis Induces IL-6, IL-8, and VCAM-1 Expression Through NOD-Mediated NF-κB and ERK Signaling Pathways in Periodontal Fibroblasts

Overview of attention for article published in Inflammation, October 2013
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Title
Beyond Toll-Like Receptors: Porphyromonas gingivalis Induces IL-6, IL-8, and VCAM-1 Expression Through NOD-Mediated NF-κB and ERK Signaling Pathways in Periodontal Fibroblasts
Published in
Inflammation, October 2013
DOI 10.1007/s10753-013-9766-0
Pubmed ID
Authors

Jianru Liu, Yixiang Wang, Xiangying Ouyang

Abstract

To investigate whether oligomerization domains (NODs) are involved in Porphyromonas gingivalis-induced interleukin (IL)-6, IL-8, and vascular cell adhesion molecule (VCAM)-1 expression beyond Toll-like receptors (TLRs), we investigated the role of NOD1/2 in P. gingivalis-induced IL-6, IL-8, and VCAM-1 expression in human gingival fibroblasts (hGFs) and periodontal ligament cells (hPDLCs). The mechanism was explored by activation and silence of NODs, electrophoretic mobility shift assay (EMSA), and pathway blockade assays. Results showed that P. gingivalis could induce NOD1, NOD2, IL-6, IL-8, and VCAM-1 expression in hGFs and hPDLs at mRNA and protein levels. Activation of NOD1/2 by agonists could clearly upregulate the expression of these genes, while silence of NOD1/2 could remarkably attenuate them. EMSA and blockade of NF-κB and extracellular-signal-regulated kinase (ERK)1/2 pathway assays also verified that the two pathways were involved in NOD1/2-mediated IL-6, IL-8, and VCAM-1 expression. In conclusion, our findings demonstrated that P. gingivalis induced IL-6, IL-8, and VCAM-1 expression in hGFs and hPDLCs through NOD1/2-mediated NF-κB and ERK1/2 signaling pathways beyond TLRs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Researcher 5 13%
Student > Doctoral Student 4 11%
Student > Postgraduate 4 11%
Professor > Associate Professor 4 11%
Other 9 24%
Unknown 6 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 21%
Medicine and Dentistry 6 16%
Biochemistry, Genetics and Molecular Biology 5 13%
Chemistry 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 6 16%
Unknown 8 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2014.
All research outputs
#20,242,136
of 22,769,322 outputs
Outputs from Inflammation
#708
of 1,046 outputs
Outputs of similar age
#185,275
of 212,646 outputs
Outputs of similar age from Inflammation
#10
of 20 outputs
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