The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Differential Effects of a Toll-Like Receptor Antagonist on Mycobacterium tuberculosis-Induced Macrophage Responses
Open accessAbstract
We previously showed that viable Mycobacterium tuberculosis (Mtb) bacilli contain distinct ligands that activate cells via the mammalian Toll-like receptor (TLR) proteins TLR2 and TLR4. We now demonstrate that expression of a dominant negative TLR2 or TLR4 proteins in RAW 264.7 macrophages partially blocked Mtb-induced NF-κB activation. Coexpression of both dominant negative proteins blocked virtually all Mtb-induced NF-κB activation. The role of the TLR4 coreceptor MD-2 was also examined. Unlike LPS, Mtb-induced macrophage activation was not augmented by overexpression of ectopic MD-2. Moreover, cells expressing an LPS-unresponsive MD-2 mutant responded normally to Mtb. We also observed that the lipid A-like antagonist E5531 specifically inhibited TLR4-dependent Mtb-induced cellular responses. E5531 could substantially block LPS- and Mtb-induced TNF-α production in both RAW 264.7 cells and primary human alveolar macrophages (AMφ). E5531 inhibited Mtb-induced AMφ apoptosis in vitro, an effect that was a consequence of the inhibition of TNF-α production by E5531. In contrast, E5531 did not inhibit Mtb-induced NO production in RAW 264.7 cells and AMφ. Mtb-stimulated peritoneal macrophages from TLR2- and TLR4-deficient animals produced similar amounts of NO compared with control animals, demonstrating that these TLR proteins are not required for Mtb-induced NO production. Lastly, we demonstrated that a dominant negative MyD88 mutant could block Mtb-induced activation of the TNF-α promoter, but not the inducible NO synthase promoter, in murine macrophages. Together, these data suggest that Mtb-induced TNF-α production is largely dependent on TLR signaling. In contrast, Mtb-induced NO production may be either TLR independent or mediated by TLR proteins in a MyD88-independent manner.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Cited by
Phagocytosis of Microbes: Complexity in Action
Underhill, D. M., & Ozinsky, A. (2002) · Annual Review of Immunology · doi:10.1146/annurev.immunol.20.103001.114744 · Cited by 1,124
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
Melmed, G., Thomas, L. S., Lee, N., Tesfay, S. Y., Lukasek, K., Michelsen, K. S., Zhou, Y., Hu, B., Arditi, M., & Abreu, M. T. (2003) · The Journal of Immunology · doi:10.4049/jimmunol.170.3.1406 · Cited by 431
Reiling, N., Hölscher, C., Fehrenbach, A., Kröger, S., Kirschning, C. J., Goyert, S., & Ehlers, S. (2002) · The Journal of Immunology · doi:10.4049/jimmunol.169.7.3480 · Cited by 352
Fort, M. M., Mozaffarian, A., Stöver, A. G., Correia, J. D. S., Johnson, D. A., Crane, R. T., Ulevitch, R. J., Persing, D. H., Bielefeldt-Ohmann, H., Probst, P., et al. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.174.10.6416 · Cited by 216
Metadata
- Authors
- Means, T. K., Jones, B. W., Schromm, A. B., Shurtleff, B. A., Smith, J. A., Keane, J., Golenbock, D. T., Vogel, S. N., & Fenton, M. J.
- Venue
- The Journal of Immunology
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-03
- Volume
- 166
- Issue
- 6
- Pages
- 4074-4082
- ISSN
- 0022-1767 (ISSN-L)
- 1550-6606
- OpenAlex
- W1772719483
- Cited by
- 270
- References
- 1
- FWCI
- 7.83
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Differential Effects of a Toll-Like Receptor Antagonist on Mycobacterium tuberculosis-Induced Macrophage Responses. https://app.cochat.ai/papers/10.4049/jimmunol.166.6.4074
- The paper
- Means, T. K., Jones, B. W., Schromm, A. B., Shurtleff, B. A., Smith, J. A., Keane, J., Golenbock, D. T., Vogel, S. N., & Fenton, M. J. (2001). Differential Effects of a Toll-Like Receptor Antagonist on Mycobacterium tuberculosis-Induced Macrophage Responses. The Journal of Immunology. https://doi.org/10.4049/jimmunol.166.6.4074
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.