Joint effects of host genetic background and mycobacterial pathogen on susceptibility to infection

Tania Di Pietrantonio1, José A Correa, Marianna Orlova

  • 1McGill Centre for the Study of Host Resistance, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.

Infection and Immunity
|March 16, 2011
PubMed

Insights

Host genetics and Mycobacterium strains significantly influence infection outcomes. Understanding these combined effects is crucial for developing effective tuberculosis treatments and vaccines.

Area of Science:

  • Immunology
  • Genetics
  • Microbiology

Background:

  • Host genetic background and pathogen variability are key factors in infectious disease.
  • Mycobacterial infections, such as tuberculosis, present complex host-pathogen interactions.

Purpose of the Study:

  • To investigate the distinct roles of host genetics and mycobacterial strains in infection phenotypes.
  • To analyze the combined impact of host and pathogen on biological and mechanistic outcomes of infection.

Main Methods:

  • A/J and C57BL/6J mice were infected with Mycobacterium tuberculosis or Mycobacterium bovis bacille Calmette-Guérin (BCG) substrains.
  • Pulmonary bacterial counts (CFU) and cytokine transcript levels (Ifng, Il12b, Il4) were measured.
  • Three-way ANOVA was used to assess host, pathogen, time, and interaction effects on phenotypes.

Main Results:

  • Significant host-mycobacterium interactions were observed for most phenotypes, indicating specificity.
  • Mycobacterial strains induced significant variance in immune messenger genes, particularly in A/J mice.
  • Differences in chemokine gene induction between mouse strains were generally modest.

Conclusions:

  • Both host genetic background and mycobacterial strain variability are critical determinants of infection outcomes.
  • Host-pathogen interactions significantly shape the immune response and disease progression.
  • Considering joint effects is essential for understanding susceptibility to mycobacterial infections.

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