The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Intrinsic danger: activation of Toll-like receptors in rheumatoid arthritis
Abstract
RA is a debilitating disorder that manifests as chronic localized synovial and systemic inflammation leading to progressive joint destruction. Recent advances in the molecular basis of RA highlight the role of both the innate and adaptive immune system in disease pathogenesis. Specifically, data obtained from in vivo animal models and ex vivo human tissue explants models has confirmed the central role of Toll-like receptors (TLRs) in RA. TLRs are pattern recognition receptors (PRRs) that constitute one of the primary host defence mechanisms against infectious and non-infectious insult. This receptor family is activated by pathogen-associated molecular patterns (PAMPs) and by damage-associated molecular patterns (DAMPs). DAMPs are host-encoded proteins released during tissue injury and cell death that activate TLRs during sterile inflammation. DAMPs are also proposed to drive aberrant stimulation of TLRs in the RA joint resulting in increased expression of cytokines, chemokines and proteases, perpetuating a vicious inflammatory cycle that constitutes the hallmark chronic inflammation of RA. In this review, we discuss the signalling mechanisms of TLRs, the central function of TLRs in the pathogenesis of RA, the role of endogenous danger signals in driving TLR activation within the context of RA and the current preclinical and clinical strategies available to date in therapeutic targeting of TLRs in RA.
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Mammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886
TLR4 links innate immunity and fatty acid-induced insulin resistance
Shi, H., Kokoeva, M. V., Inouye, K., Tzameli, I., Yin, H., & Flier, J. S. (2006) · Journal of Clinical Investigation · doi:10.1172/jci28898 · Cited by 3,690
The impact of microRNAs on protein output
Baek, D., Villén, J., Shin, C., Camargo, F. D., Gygi, S. P., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07242 · Cited by 3,592
The family of five: TIR-domain-containing adaptors in Toll-like receptor signalling
O'Neill, L. A. J., & Bowie, A. G. (2007) · Nature Reviews Immunology · doi:10.1038/nri2079 · Cited by 2,667
Plasmacytoid dendritic cells sense self-DNA coupled with antimicrobial peptide
Lande, R., Gregorio, J., Facchinetti, V., Chatterjee, B., Wang, Y.-H., Homey, B., Cao, W., Wang, Y.-H., Su, B., Nestle, F. O., et al. (2007) · Nature · doi:10.1038/nature06116 · Cited by 1,910
Stewart, C. R., Stuart, L. M., Wilkinson, K., van Gils, J. M., Deng, J., Halle, A., Rayner, K. J., Boyer, L., Zhong, R., Frazier, W. A., et al. (2010) · Nature Immunology · doi:10.1038/ni.1836 · Cited by 1,513
HMGB1 and RAGE in Inflammation and Cancer
Sims, G. P., Rowe, D. C., Rietdijk, S. T., Herbst, R., & Coyle, A. J. (2010) · Annual Review of Immunology · doi:10.1146/annurev.immunol.021908.132603 · Cited by 1,436
Vogl, T., Tenbrock, K., Ludwig, S., Leukert, N., Ehrhardt, C., van Zoelen, M. A. D., Nacken, W., Foell, D., van der Poll, T., Sorg, C., et al. (2007) · Nature Medicine · doi:10.1038/nm1638 · Cited by 1,418
Oligosaccharides of Hyaluronan Activate Dendritic Cells via Toll-like Receptor 4
Termeer, C., Benedix, F., Sleeman, J., Fieber, C., Voith, U., Ahrens, T., Miyake, K., Freudenberg, M., Galanos, C., & Simon, J. C. (2002) · The Journal of Experimental Medicine · doi:10.1084/jem.20001858 · Cited by 1,378
Tian, J., Avalos, A. M., Mao, S.-Y., Chen, B., Senthil, K., Wu, H., Parroche, P., Drabic, S., Golenbock, D., Sirois, C., et al. (2007) · Nature Immunology · doi:10.1038/ni1457 · Cited by 1,372
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Lin, Y.-J., Anzaghe, M., & Schülke, S. (2020) · Cells · doi:10.3390/cells9040880 · Cited by 932
Emerging role of extracellular vesicles in inflammatory diseases
Buzas, E. I., György, B., Nagy, G., Falus, A., & Gay, S. (2014) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2014.19 · Cited by 677
Yang, H., Zhang, W., Pan, H., Feldser, H. G., Lainez, E., Miller, C., Leung, S., Zhong, Z., Zhao, H., Sweitzer, S., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046364 · Cited by 377
Biological interplay between proteoglycans and their innate immune receptors in inflammation
Frey, H., Schroeder, N., Manon‐Jensen, T., Iozzo, R. V., & Schaefer, L. (2013) · The FEBS Journal · doi:10.1111/febs.12145 · Cited by 274
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Hansen, I. S., Baeten, D. L. P., & den Dunnen, J. (2019) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-018-2976-8 · Cited by 170
Metadata
- Authors
- Goh, F. G., & Midwood, K. S.
- Venue
- Rheumatology
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-10-08
- Volume
- 51
- Issue
- 1
- Pages
- 7-23
- ISSN
- 1462-0324 (ISSN-L)
- 1462-0332
- OpenAlex
- W2123665246
- Cited by
- 192
- References
- 21
- FWCI
- 5.40
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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