Paradigm changing evidence that alter tuberculosis perception and detection: Focus on latency

Infect Genet Evol. 2019 Aug:72:78-85. doi: 10.1016/j.meegid.2018.12.019. Epub 2018 Dec 18.

Abstract

Tuberculosis remains a devastating disease to Mankind, ranking as the ninth cause of death worldwide. Eliminating tuberculosis as proven much more difficult than once anticipated. In addition to the delay in diagnosis and drug resistance problems that compromise the efficacy of treatment, the enormous reservoir of latently infected individuals continuously feeds the epidemics. However, targeting latency with prophylactic antibiotic administration is not possible at the populational level. Together, these issues call for a better understanding of latency, as well as for a more precise identification of individuals at high risk of reactivation. For this, recent paradigm changing evidence need to be taken into account, most notably, the existence of a tuberculosis spectrum; the genetic diversity of both humans and tuberculosis-causing bacteria; and the changes in the human population that interfere with tuberculosis. Here we discuss latency in the light of these variables and how that understanding can move forward tuberculosis research and elimination.

Keywords: Latency; Reactivation; Tuberculosis.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Biomarkers / metabolism*
  • Humans
  • Latent Tuberculosis* / immunology
  • Latent Tuberculosis* / microbiology
  • Latent Tuberculosis* / therapy
  • Lung / pathology
  • MicroRNAs / genetics
  • MicroRNAs / metabolism
  • Mycobacterium tuberculosis* / immunology
  • Mycobacterium tuberculosis* / isolation & purification
  • Mycobacterium tuberculosis* / metabolism
  • Mycobacterium tuberculosis* / physiology
  • Positron Emission Tomography Computed Tomography
  • Post-Exposure Prophylaxis
  • Receptors, IgG / metabolism
  • T-Lymphocyte Subsets
  • Transcriptome / genetics
  • Tuberculoma / microbiology

Substances

  • Biomarkers
  • MicroRNAs
  • Receptors, IgG