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Cited by 161

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Membranous Cells in Nasal-Associated Lymphoid Tissue: A Portal of Entry for the Respiratory Mucosal Pathogen Group A Streptococcus

Park, Hae-Sun, Francis, Kevin P, Yu, Jun, Cleary, P Patrick·2003·The Journal of Immunology

Abstract

Human tonsils are suspected to be an antibiotic-impervious human reservoir for group A streptococcus. An intranasal infection model in mice and a bioluminescent-tagged strain were used to investigate this possibility. Viable streptococci were predominantly found both intra- and extracellularly in nasal-associated lymphoid tissue (NALT), a human tonsil homologue. Ulex europaeus-1, a membranous (M) cell-specific lectin, identified cells harboring streptococci at the epithelial surface of NALT and blocked bacterial colonization of this tissue. These results suggest that M cells in NALT transport this Gram-positive pathogen across the epithelial layers in a manner similar to those in Peyer’s patches, which permit enteric pathogens to invade deeper tissues from the gastrointestinal tract.

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Metadata

Authors
Park, H.-S., Francis, K. P., Yu, J., & Cleary, P. P.
Venue
The Journal of Immunology
Published
2003-09-01
Volume
171
Issue
5
Pages
2532-2537
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W2124333113
Cited by
161
References
0
FWCI
5.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Membranous Cells in Nasal-Associated Lymphoid Tissue: A Portal of Entry for the Respiratory Mucosal Pathogen Group A Streptococcus. https://app.cochat.ai/papers/10.4049/jimmunol.171.5.2532
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Park, H.-S., Francis, K. P., Yu, J., & Cleary, P. P. (2003). Membranous Cells in Nasal-Associated Lymphoid Tissue: A Portal of Entry for the Respiratory Mucosal Pathogen Group A Streptococcus. The Journal of Immunology. https://doi.org/10.4049/jimmunol.171.5.2532

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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.