The DOI matches its Crossref record; 183 of the 183 references it cites were found in a registry or an index.
Pathogenesis, Immunology, and Diagnosis of Latent Mycobacterium tuberculosis Infection
Open accessAbstract
Phagocytosis of tubercle bacilli by antigen-presenting cells in human lung alveoli initiates a complex infection process by Mycobacterium tuberculosis and a potentially protective immune response by the host.M. tuberculosis has devoted a large part of its genome towards functions that allow it to successfully establish latent or progressive infection in the majority of infected individuals. The failure of immune-mediated clearance is due to multiple strategies adopted by M. tuberculosis that blunt the microbicidal mechanisms of infected immune cells and formation of distinct granulomatous lesions that differ in their ability to support or suppress the persistence of viable M. tuberculosis. In this paper, current understanding of various immune processes that lead to the establishment of latent M. tuberculosis infection, bacterial spreading, persistence, reactivation, and waning or elimination of latent infection as well as new diagnostic approaches being used for identification of latently infected individuals for possible control of tuberculosis epidemic are described.
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Cites
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Cited by
Global Epidemiology of Tuberculosis
Floyd, K., Raviglione, M., & Glaziou, P. (2018) · Seminars in Respiratory and Critical Care Medicine · doi:10.1055/s-0038-1651492 · Cited by 381
Metadata
- Authors
- Ahmad, S.
- Venue
- Clinical and Developmental Immunology
- Publisher
- Hindawi Limited
- Published
- 2011
- Volume
- 2011
- Pages
- 1-17
- ISSN
- 1740-2522 (ISSN-L)
- 1740-2530
- OpenAlex
- W2004224847
- Cited by
- 271
- References
- 183
- FWCI
- 7.69
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
