The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Role of TLR1, TLR2 and TLR6 in the modulation of intestinal inflammation and Candida albicans elimination
Abstract
Toll-like receptors (TLRs) are the major pattern recognition receptors that mediate sensing of a wide range of microorganisms. TLR2 forms heterodimers with either TLR1 or TLR6, broadening its ligand diversity against pathogens. TLR1, TLR2 and TLR6 have been implicated in the recognition of Candida albicans , an opportunistic fungal pathogen that colonizes the gastrointestinal tract. In this study, we explored whether the deficiency in TLR1, TLR2 or TLR6 impacts C. albicans colonization and inflammation-associated colonic injury in the dextran sulfate sodium (DSS)-induced colitis in mice. DSS treatment and C. albicans challenge induced greater weight loss, worse clinical signs of inflammation, higher histopathologic scores, and increased mortality rates in TLR1 −/− and TLR2 −/− mice when compared to TLR6 −/− and wild-type mice. The number of C. albicans colonies in the stomach, colon and feces was decreased in TLR6 −/− mice as compared to TLR2 −/− , TLR1 −/− and wild-type mice. Interestingly, the population of E. coli in colonic luminal contents, intestinal permeability to FITC-dextran and cytokine expression were significantly increased in TLR1 −/− and TLR2 −/− mice, while they were decreased in TLR6 −/− mice. In contrast to TLR6, both TLR1 and TLR2 deficiencies increased intestinal inflammation, and the overgrowth of C. albicans and E. coli populations in the colitis model, suggesting the involvement of TLR1 and TLR2 in epithelial homeostasis, and a role of TLR6 in increasing intestinal inflammation in response to pathogen-sensing.
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
Recognition of Commensal Microflora by Toll-Like Receptors Is Required for Intestinal Homeostasis
Rakoff-Nahoum, S., Paglino, J., Eslami-Varzaneh, F., Edberg, S., & Medzhitov, R. (2004) · Cell · doi:10.1016/j.cell.2004.07.002 · Cited by 4,251
Ozinsky, A., Underhill, D. M., Fontenot, J. D., Hajjar, A. M., Smith, K. D., Wilson, C. B., Schroeder, L., & Aderem, A. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.250476497 · Cited by 2,085
Regulation and Functions of the IL-10 Family of Cytokines in Inflammation and Disease
Ouyang, W., Rutz, S., Crellin, N. K., Valdez, P. A., & Hymowitz, S. G. (2011) · Annual Review of Immunology · doi:10.1146/annurev-immunol-031210-101312 · Cited by 1,925
Collaborative Induction of Inflammatory Responses by Dectin-1 and Toll-like Receptor 2
Gantner, B. N., Simmons, R. M., Canavera, S. J., Akira, S., & Underhill, D. M. (2003) · The Journal of Experimental Medicine · doi:10.1084/jem.20021787 · Cited by 1,643
Darfeuille-Michaud, A., Boudeau, J., Bulois, P., Neut, C., Glasser, A.-L., Barnich, N., Bringer, M.-A., Swidsinski, A., Beaugerie, L., & Colombel, J.-F. (2004) · Gastroenterology · doi:10.1053/j.gastro.2004.04.061 · Cited by 1,566
Lupp, C., Robertson, M. L., Wickham, M. E., Sekirov, I., Champion, O. L., Gaynor, E. C., & Finlay, B. B. (2007) · Cell Host & Microbe · doi:10.1016/j.chom.2007.06.010 · Cited by 1,307
Gillum, A. M., Tsay, E. Y. H., & Kirsch, D. R. (1984) · Molecular and General Genetics MGG · doi:10.1007/bf00328721 · Cited by 1,251
Toll-like receptors stimulate human neutrophil function
Hayashi, F., Means, T. K., & Luster, A. D. (2003) · Blood · doi:10.1182/blood-2003-04-1078 · Cited by 939
Bergstrom, K. S. B., Kissoon-Singh, V., Gibson, D. L., Ma, C., Montero, M., Sham, H. P., Ryz, N., Huang, T., Velcich, A., Finlay, B. B., et al. (2010) · PLoS Pathogens · doi:10.1371/journal.ppat.1000902 · Cited by 625
Netea, M. G., Sutmuller, R., Hermann, C., Van der Graaf, C. A. A., Van der Meer, J. W. M., van Krieken, J. H., Hartung, T., Adema, G., & Kullberg, B. J. (2004) · The Journal of Immunology · doi:10.4049/jimmunol.172.6.3712 · Cited by 609
Cited by
Charlet, R., Pruvost, Y., Tumba, G., Istel, F., Poulain, D., Kuchler, K., Sendid, B., & Jawhara, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-21422-w · Cited by 74
Self-citation
Metadata
- Authors
- Choteau, L., Vancraeyneste, H., Le Roy, D., Dubuquoy, L., Romani, L., Jouault, T., Poulain, D., Sendid, B., Calandra, T., Roger, T., & Jawhara, S.
- Venue
- Gut Pathogens
- Published
- 2017-02-15
- Volume
- 9
- Issue
- 1
- ISSN
- 1757-4749
- Cited by
- 59
- References
- 57
- Language
- en
- Funders
- ‘‘ALLFUN’’ project ‘‘Fungi in the setting of inflammation, allergy and auto-immune diseases: translating basic science into clinical practices (FP7 Health 260338)
- Swiss National Science Foundation (320030_149511 and 310030_138488)
- the Faculty of Biology and Medicine from the University of Lausanne (Interdisciplinary grant CellAirTox to TR)
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
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.
