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Cited by 262

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Host defenses against Staphylococcus aureus infection require recognition of bacterial lipoproteins

Open access
Bubeck Wardenburg, Juliane, Williams, Wade A., Missiakas, Dominique·2006·Proceedings of the National Academy of Sciences

Abstract

Toll-like receptors and other immune-signaling pathways play important roles as sensors of bacterial pattern molecules, such as peptidoglycan, lipoprotein, or teichoic acid, triggering innate host immune responses that prevent infection. Immune recognition of multiple bacterial products has been viewed as a safeguard against stealth infections; however, this hypothesis has never been tested for Staphylococcus aureus, a frequent human pathogen. By generating mutations that block the diacylglycerol modification of lipoprotein precursors, we show here that S. aureus variants lacking lipoproteins escape immune recognition and cause lethal infections with disseminated abscess formation, failing to elicit an adequate host response. Thus, lipoproteins appear to play distinct, nonredundant roles in pathogen recognition and host innate defense mechanisms against S. aureus infections.

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Metadata

Authors
Bubeck Wardenburg, J., Williams, W. A., & Missiakas, D.
Venue
Proceedings of the National Academy of Sciences
Published
2006-09-12
Volume
103
Issue
37
Pages
13831-13836
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1963492926
Cited by
262
References
3
FWCI
3.72
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Host defenses against Staphylococcus aureus infection require recognition of bacterial lipoproteins. https://app.cochat.ai/papers/10.1073/pnas.0603072103
The paper
Bubeck Wardenburg, J., Williams, W. A., & Missiakas, D. (2006). Host defenses against Staphylococcus aureus infection require recognition of bacterial lipoproteins. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0603072103

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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.