The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Analysis of binding site for the novel small‐molecule TLR4 signal transduction inhibitor TAK‐242 and its therapeutic effect on mouse sepsis model
Open accessAbstract
Background and purpose: TAK‐242, a novel synthetic small‐molecule, suppresses production of multiple cytokines by inhibiting Toll‐like receptor (TLR) 4 signalling. In this study, we investigated the target molecule of TAK‐242 and examined its therapeutic effect in a mouse sepsis model. Experimental approach: Binding assay with [3 H]‐TAK‐242 and nuclear factor‐κB reporter assay were used to identify the target molecule and binding site of TAK‐242. Bacillus calmette guerin (BCG)‐primed mouse sepsis model using live Escherichia coli was used to estimate the efficacy of TAK‐242 in sepsis. Key results: TAK‐242 strongly bound to TLR4, but binding to TLR2, 3, 5, 9, TLR‐related adaptor molecules and MD‐2 was either not observed or marginal. Mutational analysis using TLR4 mutants indicated that TAK‐242 inhibits TLR4 signalling by binding to Cys747 in the intracellular domain of TLR4. TAK‐242 inhibited MyD88‐independent pathway as well as MyD88‐dependent pathway and its inhibitory effect was largely unaffected by lipopolysaccharide (LPS) concentration and types of TLR4 ligands. TAK‐242 had no effect on the LPS‐induced conformational change of TLR4‐MD‐2 and TLR4 homodimerization. In mouse sepsis model, although TAK‐242 alone did not affect bacterial counts in blood, if co‐administered with ceftazidime it inhibited the increases in serum cytokine levels and improved survival of mice. Conclusions and implications: TAK‐242 suppressed TLR4 signalling by binding directly to a specific amino acid Cys747 in the intracellular domain of TLR4. When co‐administered with antibiotics, TAK‐242 showed potent therapeutic effects in an E. coli‐induced sepsis model using BCG‐primed mice. Thus, TAK‐242 may be a promising therapeutic agent for sepsis.
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
A Toll-like receptor recognizes bacterial DNA
Hemmi, H., Takeuchi, O., Kawai, T., Kaisho, T., Sato, S., Sanjo, H., Matsumoto, M., Hoshino, K., Wagner, H., Takeda, K., et al. (2000) · Nature · doi:10.1038/35047123 · Cited by 6,491 · cited 4×
“Expression vectors for TLR4 and TLR2 tagged with FLAG were cloned into pcDNA3.”
BackgroundInfluentialSelf-citationRecognition 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
Innate antiviral responses by means of TLR7-mediated recognition of single-stranded RNA
Diebold, S. S., Kaisho, T., Hemmi, H., Akira, S., & Reis e Sousa, C. (2004) · Science · doi:10.1126/science.1093616 · Cited by 3,444
Binding of polymyxin B to the lipid A portion of bacterial lipopolysaccharides
Morrison, D. C., & Jacobs, D. M. (1976) · Immunochemistry · doi:10.1016/0019-2791(76)90181-6 · Cited by 819
Cited by
Inflammation in intracerebral hemorrhage: From mechanisms to clinical translation
Zhou, Y., Wang, Y., Wang, J., Anne Stetler, R., & Yang, Q.-W. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.11.003 · Cited by 628
Matsunaga, N., Tsuchimori, N., Matsumoto, T., & Ii, M. (2011) · Molecular Pharmacology · doi:10.1124/mol.110.068064 · Cited by 597
Self-citationA randomized, double-blind, placebo-controlled trial of TAK-242 for the treatment of severe sepsis*
Rice, T. W., Wheeler, A. P., Bernard, G. R., Vincent, J.-L., Angus, D. C., Aikawa, N., Demeyer, I., Sainati, S., Amlot, N., Cao, C., et al. (2010) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181e7c5c9 · Cited by 512
Self-citationLancaster, G. I., Langley, K. G., Berglund, N. A., Kammoun, H. L., Reibe, S., Estevez, E., Weir, J., Mellett, N. A., Pernes, G., Conway, J. R. W., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.03.014 · Cited by 466
Fink, M. P. (2014) · Virulence · doi:10.4161/viru.26083 · Cited by 391
Metadata
- Authors
- Takashima, K., Matsunaga, N., Yoshimatsu, M., Hazeki, K., Kaisho, T., Uekata, M., Hazeki, O., Akira, S., Iizawa, Y., & Ii, M.
- Venue
- British Journal of Pharmacology
- Publisher
- Wiley
- Published
- 2009-07-23
- Volume
- 157
- Issue
- 7
- Pages
- 1250-1262
- ISSN
- 0007-1188 (ISSN-L)
- 1476-5381
- OpenAlex
- W2056812842
- Cited by
- 246
- References
- 4
- FWCI
- 4.71
- 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: Analysis of binding site for the novel small‐molecule TLR4 signal transduction inhibitor TAK‐242 and its therapeutic effect on mouse sepsis model. https://app.cochat.ai/papers/10.1111/j.1476-5381.2009.00297.x
- The paper
- Takashima, K., Matsunaga, N., Yoshimatsu, M., Hazeki, K., Kaisho, T., Uekata, M., Hazeki, O., Akira, S., Iizawa, Y., & Ii, M. (2009). Analysis of binding site for the novel small‐molecule TLR4 signal transduction inhibitor TAK‐242 and its therapeutic effect on mouse sepsis model. British Journal of Pharmacology. https://doi.org/10.1111/j.1476-5381.2009.00297.x
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.