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Cited by 677

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

I mmunity to T uberculosis

North, Robert J., Jung, Yu-Jin·2004·Annual Review of Immunology

Abstract

▪ Abstract Only 5 to 10% of immunocompetent humans are susceptible to tuberculosis, and over 85% of them develop the disease exclusively in the lungs. Human immunodeficiency virus (HIV)-infected humans, in contrast, can develop systemic disease that is more quickly lethal. This is in keeping with other evidence showing that susceptible humans generate some level of Th1 immunity to Mycobacterium tuberculosis (Mtb) infection. Tuberculosis in mice is also exclusively a lung disease that is progressive and lethal, in spite of the generation of Th1-mediated immunity. Thus mouse tuberculosis is a model of tuberculosis in susceptible humans, as is tuberculosis in guinea pigs and rabbits. Inability to resolve infection and prevent disease may not be a consequence of the generation of an inadequate number of Th1 cells but of an intrinsic deficiency in macrophage function that prevents these cells from expressing immunity. If this proves to be true, vaccinating susceptible humans against tuberculosis will be a difficult task.

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Crossref · 10.1146/annurev.immunol.22.012703.104635

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Metadata

Authors
North, R. J., & Jung, Y.-J.
Venue
Annual Review of Immunology
Published
2004-04-01
Volume
22
Issue
1
Pages
599-623
ISSN
  • 0732-0582 (ISSN-L)
  • 1545-3278
OpenAlex
W2100531445
Cited by
677
References
72
FWCI
4.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: I mmunity to T uberculosis. https://app.cochat.ai/papers/10.1146/annurev.immunol.22.012703.104635
The paper
North, R. J., & Jung, Y.-J. (2004). I mmunity to T uberculosis. Annual Review of Immunology. https://doi.org/10.1146/annurev.immunol.22.012703.104635

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.