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Cited by 484

The DOI matches its Crossref record; 129 of the 129 references it cites were found in a registry or an index.

Heterogeneity in tuberculosis

Open access
Cadena, Anthony M., Fortune, Sarah M., Flynn, JoAnne L.·2017·Nature Reviews Immunology

Abstract

Infection with Mycobacterium tuberculosis, the causative agent of tuberculosis (TB), results in a range of clinical presentations in humans. Most infections manifest as a clinically asymptomatic, contained state that is termed latent TB infection (LTBI); a smaller subset of infected individuals present with symptomatic, active TB. Within these two seemingly binary states, there is a spectrum of host outcomes that have varying symptoms, microbiologies, immune responses and pathologies. Recently, it has become apparent that there is diversity of infection even within a single individual. A good understanding of the heterogeneity that is intrinsic to TB — at both the population level and the individual level — is crucial to inform the development of intervention strategies that account for and target the unique, complex and independent nature of the local host–pathogen interactions that occur in this infection. In this Review, we draw on model systems and human data to discuss multiple facets of TB biology and their relationship to the overall heterogeneity observed in the human disease.

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Metadata

Authors
Cadena, A. M., Fortune, S. M., & Flynn, J. L.
Venue
Nature Reviews Immunology
Published
2017-07-24
Volume
17
Issue
11
Pages
691-702
ISSN
  • 1474-1733 (ISSN-L)
  • 1474-1741
OpenAlex
W2737860676
Cited by
484
References
129
FWCI
8.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Heterogeneity in tuberculosis. https://app.cochat.ai/papers/10.1038/nri.2017.69
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Cadena, A. M., Fortune, S. M., & Flynn, J. L. (2017). Heterogeneity in tuberculosis. Nature Reviews Immunology. https://doi.org/10.1038/nri.2017.69

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.