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Cited by 401

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Human Leukocytes Adhere to, Penetrate, and Respond to Staphylococcus aureus Biofilms

Open access
Leid, Jeff G., Shirtliff, Mark E., Costerton, J. W., Stoodley, and Paul·2002·Infection and Immunity

Abstract

Staphylococcus aureus is a common pathogen responsible for nosocomial and community infections. It readily colonizes indwelling catheters, forming microbiotic communities termed biofilms. S. aureus bacteria in biofilms are protected from killing by antibiotics and the body's immune system. For years, one mechanism behind biofilm resistance to attack from the immune system's sentinel leukocytes has been conceptualized as a deficiency in the ability of the leukocytes to penetrate the biofilm. We demonstrate here that under conditions mimicking physiological shear, leukocytes attach, penetrate, and produce cytokines in response to maturing and fully matured S. aureus biofilm.

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Crossref · 10.1128/iai.70.11.6339-6345.2002

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Metadata

Authors
Leid, J. G., Shirtliff, M. E., Costerton, J. W., & Stoodley, A. P.
Venue
Infection and Immunity
Published
2002-11
Volume
70
Issue
11
Pages
6339-6345
ISSN
  • 0019-9567 (ISSN-L)
  • 1098-5522
OpenAlex
W2114298708
Cited by
401
References
29
FWCI
3.78
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Human Leukocytes Adhere to, Penetrate, and Respond to Staphylococcus aureus Biofilms. https://app.cochat.ai/papers/10.1128/iai.70.11.6339-6345.2002
The paper
Leid, J. G., Shirtliff, M. E., Costerton, J. W., & Stoodley, A. P. (2002). Human Leukocytes Adhere to, Penetrate, and Respond to Staphylococcus aureus Biofilms. Infection and Immunity. https://doi.org/10.1128/iai.70.11.6339-6345.2002

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.