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Nature Reviews Immunology
Article . 2017 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Heterogeneity in tuberculosis

Authors: Anthony M, Cadena; Sarah M, Fortune; JoAnne L, Flynn;

Heterogeneity in tuberculosis

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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Keywords

Granuloma, Antitubercular Agents, Mycobacterium tuberculosis, Patient Outcome Assessment, Disease Models, Animal, Treatment Outcome, Host-Pathogen Interactions, Animals, Humans, Tuberculosis, Disease Susceptibility

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    427
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
427
Top 0.1%
Top 1%
Top 0.1%
bronze