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Cited by 283

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Group A streptococci efficiently invade human respiratory epithelial cells.

Open access
LaPenta, D, Rubens, C, Chi, E, Cleary, P P·1994·Proceedings of the National Academy of Sciences

Abstract

Although infection by group A streptococci is a model of extracellular mucosal pathogenesis, these organisms can be associated with highly invasive infections resulting in sepsis and shock. Over the last 6 yr this species has renewed its reputation as a significant cause of sepsis and has piqued interest in the mechanism by which some strains are better able to breach mucosal barriers to gain access to the bloodstream than are others. An internalization assay was developed on the basis of resistance of intracellular streptococci to penicillin and gentamicin. Experiments showed that stationary-phase, as opposed to logarithmic-phase, bacteria are efficiently internalized and can persist in cultured human cells. Electron microscopy confirmed that streptococci were contained within intracellular vacuoles. Various strains of streptococci revealed significant differences in their capacity to be internalized. Two type M1 streptococci isolated from blood infections were internalized at frequencies equal to those reported for Salmonella and Listeria monocytogenes and greater than the frequency of a clonal variant from a case of pharyngitis.

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Metadata

Authors
LaPenta, D., Rubens, C., Chi, E., & Cleary, P. P.
Venue
Proceedings of the National Academy of Sciences
Published
1994-12-06
Volume
91
Issue
25
Pages
12115-12119
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2035114086
Cited by
283
References
0
FWCI
7.89
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Group A streptococci efficiently invade human respiratory epithelial cells. https://app.cochat.ai/papers/10.1073/pnas.91.25.12115
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LaPenta, D., Rubens, C., Chi, E., & Cleary, P. P. (1994). Group A streptococci efficiently invade human respiratory epithelial cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.91.25.12115

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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.