Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 609

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Toll-Like Receptor 2 Suppresses Immunity against Candida albicans through Induction of IL-10 and Regulatory T Cells

Netea, Mihai G, Sutmuller, Roger, Hermann, Corinna, Van der Graaf, Chantal A A, Van der Meer, Jos W M, van Krieken, Johan H, Hartung, Thomas, Adema, Gosse, Kullberg, Bart Jan·2004·The Journal of Immunology
DOI 10.4049/jimmunol.172.6.3712
Open this paper in CoChat — free account

Abstract

Toll-like receptor (TLR) 2 and TLR4 play a pivotal role in recognition of Candida albicans. We demonstrate that TLR2−/− mice are more resistant to disseminated Candida infection, and this is associated with increased chemotaxis and enhanced candidacidal capacity of TLR2−/− macrophages. Although production of the proinflammatory cytokines TNF, IL-1α, and IL-1β is normal, IL-10 release is severely impaired in the TLR2−/− mice. This is accompanied by a 50% decrease in the CD4+CD25+ regulatory T (Treg) cell population in TLR2−/− mice. In vitro studies confirmed that enhanced survival of Treg cells was induced by TLR2 agonists. The deleterious role of Treg cells on the innate immune response during disseminated candidiasis was underscored by the improved resistance to this infection after depletion of Treg cells. In conclusion, C. albicans induces immunosuppression through TLR2-derived signals that mediate increased IL-10 production and survival of Treg cells. This represents a novel mechanism in the pathogenesis of fungal infections.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.4049/jimmunol.172.6.3712

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Cited by

Metadata

Authors
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.
Venue
The Journal of Immunology
Publisher
Oxford University Press (OUP)
Published
2004-03
Volume
172
Issue
6
Pages
3712-3718
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
DOI
10.4049/jimmunol.172.6.3712
OpenAlex
W1627009127
Cited by
609
References
2
FWCI
16.90
Type
journal article
Language
en
Open access
closed

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.