The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Cutting Edge: Toll-Like Receptor (TLR)2- and TLR4-Mediated Pathogen Recognition in Resistance to Airborne Infection with Mycobacterium tuberculosis
Abstract
Innate resistance against Mycobacterium tuberculosis is thought to depend critically on engagement of pattern recognition receptors on macrophages. However, the relative contribution of these receptors for containing M. tuberculosis infection has remained unexplored in vivo. To address this issue, we infected mice defective in CD14, TLR2, or TLR4 with M. tuberculosis by aerosol. Following infection with 100 mycobacteria, either mutant strain was as resistant as congenic control mice. Granuloma formation, macrophage activation, and secretion of proinflammatory cytokines in response to low-dose aerosol infection were identical in mutant and control mice. However, high-dose aerosol challenge with 2000 CFU M. tuberculosis revealed TLR2-, but not TLR4-defective mice to be more susceptible than control mice. In conclusion, while TLR2 signaling contributes to innate resistance against M. tuberculosis in borderline situations, its function, and that of CD14 and TLR4, in initiating protective responses against naturally low-dose airborne infection is redundant.
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“Further characterization of individual programs identified transcription factors associated with particular phenotypes, such as STAT4, which was associated with stimuli linked to chronic inflammation (TNF, prostaglandin E2, TLR2-ligand, ''TPP'') as seen in granulomatous diseases”
From Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation (2014) · cites this paper as Reiling et al., 2002
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Defective LPS Signaling in C3H/HeJ and C57BL/10ScCr Mice: Mutations in Tlr4 Gene
Poltorak, A., He, X., Smirnova, I., Liu, M.-Y., Huffel, C. V., Du, X., Birdwell, D., Alejos, E., Silva, M., Galanos, C., et al. (1998) · Science · doi:10.1126/science.282.5396.2085 · Cited by 7,631
Toll-like receptors: critical proteins linking innate and acquired immunity
Akira, S., Takeda, K., & Kaisho, T. (2001) · Nature Immunology · doi:10.1038/90609 · Cited by 4,777
Toll-like receptors in the induction of the innate immune response
Aderem, A., & Ulevitch, R. J. (2000) · Nature · doi:10.1038/35021228 · Cited by 3,064
Flynn, J. L., Goldstein, M. M., Chan, J., Triebold, K. J., Pfeffer, K., Lowenstein, C. J., Schrelber, R., Mak, T. W., & Bloom, B. R. (1995) · Immunity · doi:10.1016/1074-7613(95)90001-2 · Cited by 1,677
Host Defense Mechanisms Triggered by Microbial Lipoproteins Through Toll-Like Receptors
Brightbill, H. D., Libraty, D. H., Krutzik, S. R., Yang, R.-B., Belisle, J. T., Bleharski, J. R., Maitland, M., Norgard, M. V., Plevy, S. E., Smale, S. T., et al. (1999) · Science · doi:10.1126/science.285.5428.732 · Cited by 1,661
Toll-like receptors control activation of adaptive immune responses
Schnare, M., Barton, G. M., Holt, A. C., Takeda, K., Akira, S., & Medzhitov, R. (2001) · Nature Immunology · doi:10.1038/ni712 · Cited by 1,365
Identification of nitric oxide synthase as a protective locus against tuberculosis
MacMicking, J. D., North, R. J., LaCourse, R., Mudgett, J. S., Shah, S. K., & Nathan, C. F. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.10.5243 · Cited by 1,180
Takeuchi, O., Hoshino, K., & Akira, S. (2000) · The Journal of Immunology · doi:10.4049/jimmunol.165.10.5392 · Cited by 1,048
Interleukin-12 and its role in the generation of TH1 cells
Trinchieri, G. (1993) · Immunology Today · doi:10.1016/0167-5699(93)90230-i · Cited by 845
Human Toll-Like Receptors Mediate Cellular Activation by Mycobacterium tuberculosis
Means, T. K., Wang, S., Lien, E., Yoshimura, A., Golenbock, D. T., & Fenton, M. J. (1999) · The Journal of Immunology · doi:10.4049/jimmunol.163.7.3920 · Cited by 804
Research works printed but not linked: 30
- 1995, J. Infect. Dis., 1550
- 1996, Curr. Top. Microbiol. Immunol., 157
- 2000, Immunol. Cell Biol., 334
- 2000, Curr. Opin. Immunol., 432
- 2001, Nature Rev. Immunol., 20
- 1993, Immunol. Today, 335
- 2001, Nat. Immunol., 675
- 2000, Nature, 782
- 1993, J. Clin. Invest, 2076
- 1999, J. Immunol., 3920
- 2001, Science, 1544
- 1999, Science, 732
- 2001, J. Immunol., 6957
- 1995, Immunity., 561
- 2002, Clin. Microbiol. Rev., 294
- 2002, Curr. Opin. Immunol., 452
- 2002, Microbes Infect., 937
- 2001, Nat. Immunol., 346
- 1996, Immunity., 407
- 1998, Science, 2085
- 2001, Immunobiology, 558
- 2000, Infect. Immun., 6879
- 1997, Proc. Natl. Acad. Sci. USA, 5243
- 2001, Nat. Immunol., 947
- 2000, Proc. Natl. Acad. Sci. USA, 4204
- 2001, J. Immunol., 15
- 2000, Int. Immunol., 113
- 2001, J. Immunol., 4074
- 2000, J. Immunol., 5392
- 2001, Infect. Immun., 2666
Cited by
Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation
Xue, J., Schmidt, S. V., Sander, J., Draffehn, A., Krebs, W., Quester, I., De Nardo, D., Gohel, T. D., Emde, M., Schmidleithner, L., et al. (2014) · Immunity · doi:10.1016/j.immuni.2014.01.006 · Cited by 2,210
El Kasmi, K. C., Qualls, J. E., Pesce, J. T., Smith, A. M., Thompson, R. W., Henao-Tamayo, M., Basaraba, R. J., König, T., Schleicher, U., Koo, M.-S., et al. (2008) · Nature Immunology · doi:10.1038/ni.1671 · Cited by 646
Bafica, A., Scanga, C. A., Feng, C. G., Leifer, C., Cheever, A., & Sher, A. (2005) · The Journal of Experimental Medicine · doi:10.1084/jem.20051782 · Cited by 601
Regulation of antigen presentation by Mycobacterium tuberculosis: a role for Toll-like receptors
Harding, C. V., & Boom, W. H. (2010) · Nature Reviews Microbiology · doi:10.1038/nrmicro2321 · Cited by 435
Vazquez-Torres, A., Vallance, B. A., Bergman, M. A., Finlay, B. B., Cookson, B. T., Jones-Carson, J., & Fang, F. C. (2004) · The Journal of Immunology · doi:10.4049/jimmunol.172.10.6202 · Cited by 173
Viruses as adjuvants for autoimmunity: evidence from Coxsackievirus‐induced myocarditis
Fairweather, D., Frisancho‐Kiss, S., & Rose, N. R. (2005) · Reviews in Medical Virology · doi:10.1002/rmv.445 · Cited by 155
Innate responses to Toxoplasma gondii in mice and humans
Pifer, R., & Yarovinsky, F. (2011) · Trends in Parasitology · doi:10.1016/j.pt.2011.03.009 · Cited by 139
Kurtz, S., McKinnon, K. P., Runge, M. S., Ting, J. P.-Y., & Braunstein, M. (2006) · Infection and Immunity · doi:10.1128/iai.01022-06 · Cited by 114
Bartens, M.-C., Gibson, A. J., Etherington, G. J., Di Palma, F., Holder, A., Werling, D., & Willcocks, S. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.764390 · Cited by 19
Metadata
- Authors
- Reiling, N., Hölscher, C., Fehrenbach, A., Kröger, S., Kirschning, C. J., Goyert, S., & Ehlers, S.
- Affiliations
- Division of Molecular Infection Biology, Research Center Borstel , Borstel ,
- Institute of Medical Microbiology, Immunology, and Hygiene, Technical University of Munich , Munich ,
- Division of Molecular Medicine, Cornell University Medical College , Manhasset, NY 11030
- Venue
- The Journal of Immunology
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-10-01
- Volume
- 169
- Issue
- 7
- Pages
- 3480-3484
- ISSN
- 0022-1767
- 1550-6606
- Cited by
- 352
- References
- 31
- Language
- en
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