Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 486

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

The Role of Toll‐like Receptor (TLR) 2 and TLR4 in the Host Defense against Disseminated Candidiasis

Open access
Netea, Mihai G., Van der Graaf, Chantal A. A., Vonk, Alieke G., Verschueren, Ineke, Van der Meer, Jos W. M., Kullberg, Bart Jan·2002·The Journal of Infectious Diseases

Abstract

Toll-like receptors (TLRs) represent the main class of pattern-recognition receptors involved in sensing pathogenic microorganisms. The aim of the present study was to assess the role of TLR4 in the defense against Candida albicans infection. The outgrowth of C. albicans was 10-fold higher in TLR4-defective C3H/HeJ mice, compared with that in control C3H/HeN mice (P<.05). Production of tumor necrosis factor (TNF) and interleukin (IL)-1alpha and IL-1beta by mouse macrophages in response to C. albicans stimulation was not affected by TLR4, and the candidacidal capacities of the neutrophils and macrophages of C3H/HeJ mice were normal. In contrast, production of the CXC chemokines KC and macrophage inhibitory protein-2 was 40%-60% lower by the macrophages of C3H/HeJ mice (P<.05), which resulted in a 40% decrease in neutrophil recruitment to the site of infection. Candida-induced TNF and IL-1beta production by human peripheral blood mononuclear cells was significantly inhibited by blocking anti-TLR2 antibodies in vitro. In conclusion, TLR4-defective C3H/HeJ mice are more susceptible to C. albicans infection, and this is associated with impaired chemokine expression and neutrophil recruitment.

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 · 10.1086/340511

Cites

5 of 5 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 5 references

Cited by

Metadata

Authors
Netea, M. G., Van der Graaf, C. A. A., Vonk, A. G., Verschueren, I., Van der Meer, J. W. M., & Kullberg, B. J.
Venue
The Journal of Infectious Diseases
Published
2002-05-15
Volume
185
Issue
10
Pages
1483-1489
ISSN
  • 0022-1899 (ISSN-L)
  • 1537-6613
OpenAlex
W2145564764
Cited by
486
References
5
FWCI
8.30
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

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.