The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
TLR3 is an endogenous sensor of tissue necrosis during acute inflammatory events
Open accessAbstract
Ligands from dying cells are a source of Toll-like receptor (TLR) activating agents. Although TLR3 is known to respond to RNA from necrotic cells, the relative importance of this response in vivo during acute inflammatory processes has not been fully explored. We observed the involvement of TLR3 activation during experimental polymicrobial septic peritonitis and ischemic gut injury in the absence of an exogenous viral stimulus. In TLR3-deficient mice, increased chemokine/cytokine levels and neutrophil recruitment characterized the initial inflammatory responses in both injury models. However, the levels of inflammatory chemokines and tumor necrosis factor α quickly returned to baseline in tlr3−/− mice, and these mice were protected from the lethal effects of sustained inflammation. Macrophages from tlr3−/− mice responded normally to other TLR ligands but did not respond to RNA from necrotic neutrophils. Importantly, an immunoneutralizing antibody directed against TLR3 attenuated the generation of inflammatory chemokines evoked by byproducts from necrotic neutrophils cultured with wild-type macrophages. In vivo, anti-TLR3 antibody attenuated the tissue injury associated with gut ischemia and significantly decreased sepsis-induced mortality. Collectively, these data show that TLR3 is a regulator of the amplification of immune response and serves an endogenous sensor of necrosis, independent of viral activation.
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Cites
Recognition of double-stranded RNA and activation of NF-κB by Toll-like receptor 3
Alexopoulou, L., Holt, A. C., Medzhitov, R., & Flavell, R. A. (2001) · Nature · doi:10.1038/35099560 · Cited by 6,129
The immunopathogenesis of sepsis
Cohen, J. (2002) · Nature · doi:10.1038/nature01326 · Cited by 2,742
mRNA is an endogenous ligand for toll-like receptor 3
Karikó, K., Ni, H., Capodici, J., Lamphier, M., & Weissman, D. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m310175200 · Cited by 1,062
Vimentin is secreted by activated macrophages
Mor-Vaknin, N., Punturieri, A., Sitwala, K., & Markovitz, D. M. (2003) · Nature Cell Biology · doi:10.1038/ncb898 · Cited by 522
Sajjan, U. S., Jia, Y., Newcomb, D. C., Bentley, J. K., Lukacs, N. W., LiPuma, J. J., Hershenson, M. B., Sajjan, U. S., Jia, Y., Newcomb, D. C., et al. (2006) · The FASEB Journal · doi:10.1096/fj.06-5806fje · Cited by 146
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Immunogenic cell death and DAMPs in cancer therapy
Krysko, D. V., Garg, A. D., Kaczmarek, A., Krysko, O., Agostinis, P., & Vandenabeele, P. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3380 · Cited by 3,223
Sterile inflammation: sensing and reacting to damage
Chen, G. Y., & Nuñez, G. (2010) · Nature Reviews Immunology · doi:10.1038/nri2873 · Cited by 3,051
DAMP-sensing receptors in sterile inflammation and inflammatory diseases
Gong, T., Liu, L., Jiang, W., & Zhou, R. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-019-0215-7 · Cited by 1,672
The Sterile Inflammatory Response
Rock, K. L., Latz, E., Ontiveros, F., & Kono, H. (2010) · Annual Review of Immunology · doi:10.1146/annurev-immunol-030409-101311 · Cited by 865
CD24 and Siglec-10 Selectively Repress Tissue Damage–Induced Immune Responses
Chen, G.-Y., Tang, J., Zheng, P., & Liu, Y. (2009) · Science · doi:10.1126/science.1168988 · Cited by 786
Commensal bacteria regulate Toll-like receptor 3–dependent inflammation after skin injury
Lai, Y., Di Nardo, A., Nakatsuji, T., Leichtle, A., Yang, Y., Cogen, A. L., Wu, Z.-R., Hooper, L. V., Schmidt, R. R., von Aulock, S., et al. (2009) · Nature Medicine · doi:10.1038/nm.2062 · Cited by 781
Identification of a dendritic cell receptor that couples sensing of necrosis to immunity
Sancho, D., Joffre, O. P., Keller, A. M., Rogers, N. C., Martínez, D., Hernanz-Falcón, P., Rosewell, I., & Sousa, C. R. E. (2009) · Nature · doi:10.1038/nature07750 · Cited by 750
Linking oxidative stress to inflammation: Toll-like receptors
Gill, R., Tsung, A., & Billiar, T. (2010) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2010.01.006 · Cited by 553
Recognition of Endogenous Nucleic Acids by the Innate Immune System
Roers, A., Hiller, B., & Hornung, V. (2016) · Immunity · doi:10.1016/j.immuni.2016.04.002 · Cited by 541
Danger‐associated molecular patterns ( DAMPs ) in acute lung injury
Tolle, L. B., & Standiford, T. J. (2013) · The Journal of Pathology · doi:10.1002/path.4124 · Cited by 157
Helminth cysteine proteases inhibit TRIF-dependent activation of macrophages via degradation of TLR3
Donnelly, S., O’Neill, S. M., Stack, C. M., Robinson, M. W., Turnbull, L., Whitchurch, C., & Dalton, J. P. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.060368 · Cited by 140
Carvalho, A., De Luca, A., Bozza, S., Cunha, C., D'Angelo, C., Moretti, S., Perruccio, K., Iannitti, R. G., Fallarino, F., Pierini, A., et al. (2012) · Blood · doi:10.1182/blood-2011-06-362582 · Cited by 131
Extracellular RNA sensing by pattern recognition receptors
Tatematsu, M., Funami, K., Seya, T., & Matsumoto, M. (2018) · Journal of Innate Immunity · doi:10.1159/000494034 · Cited by 90
Hyaluronan digestion controls DC migration from the skin
Muto, J., Morioka, Y., Yamasaki, K., Kim, M., Garcia, A., Carlin, A. F., Varki, A., & Gallo, R. L. (2014) · Journal of Clinical Investigation · doi:10.1172/jci67947 · Cited by 84
Liu, H.-Y., Huang, C.-M., Hung, Y.-F., & Hsueh, Y.-P. (2015) · Experimental Neurology · doi:10.1016/j.expneurol.2015.04.011 · Cited by 59
Wade, S. M., Trenkmann, M., McGarry, T., Canavan, M., Marzaioli, V., Wade, S. C., Veale, D. J., & Fearon, U. (2019) · Journal of Autoimmunity · doi:10.1016/j.jaut.2018.08.008 · Cited by 35
Intracellular PRRs Activation in Targeting the Immune Response Against Fungal Infections
Jannuzzi, G. P., de Almeida, J. R. F., Paulo, L. N. M., de Almeida, S. R., & Ferreira, K. S. (2020) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2020.591970 · Cited by 29
Metadata
- Authors
- Cavassani, K. A., Ishii, M., Wen, H., Schaller, M. A., Lincoln, P. M., Lukacs, N. W., Hogaboam, C. M., & Kunkel, S. L.
- Venue
- The Journal of Experimental Medicine
- Publisher
- Rockefeller University Press
- Published
- 2008-10-06
- Volume
- 205
- Issue
- 11
- Pages
- 2609-2621
- ISSN
- 0022-1007 (ISSN-L)
- 1540-9538
- OpenAlex
- W2134940821
- Cited by
- 449
- References
- 5
- FWCI
- 12.96
- Type
- journal article
- Language
- en
- Open access
- bronze
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