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Immunology. 2013 Oct;140(2):232-43. doi: 10.1111/imm.12131.

Dynamics of immune effector mechanisms during infection with Mycobacterium avium in C57BL/6 mice.

Author information

1
Department of Cancer Research and Molecular Medicine, Centre of Molecular Inflammation Research, NTNU, Trondheim; St Olav's Hospital, Trondheim.

Abstract

Opportunistic infections with non-tuberculous mycobacteria such as Mycobacterium avium are receiving renewed attention because of increased incidence and difficulties in treatment. As for other mycobacterial infections, a still poorly understood collaboration of different immune effector mechanisms is required to confer protective immunity. Here we have characterized the interplay of innate and adaptive immune effector mechanisms contributing to containment in a mouse infection model using virulent M. avium strain 104 in C57BL/6 mice. M. avium caused chronic infection in mice, as shown by sustained organ bacterial load. In the liver, bacteria were contained in granuloma-like structures that could be defined morphologically by expression of the antibacterial innate effector protein Lipocalin 2 in the adjoining hepatocytes and infiltrating neutrophils, possibly contributing to containment. Circulatory anti-mycobacterial antibodies steadily increased throughout infection and were primarily of the IgM isotype. Highest levels of interferon-γ were found in infected liver, spleen and serum of mice approximately 2 weeks post infection and coincided with a halt in organ bacterial growth. In contrast, expression of tumour necrosis factor was surprisingly low in spleen compared with liver. We did not detect interleukin-17 in infected organs or M. avium-specific T helper 17 cells, suggesting a minor role for T helper 17 cells in this model. A transient and relative decrease in regulatory T cell numbers was seen in spleens. This detailed characterization of M. avium infection in C57BL/6 mice may provide a basis for future studies aimed at gaining better insight into mechanisms leading to containment of infections with non-tuberculous mycobacteria.

KEYWORDS:

CD4+ T cell subsets; Mycobacterium avium; adaptive immune response; inflammation; mouse infection model

PMID:
23746054
PMCID:
PMC3784169
DOI:
10.1111/imm.12131
[Indexed for MEDLINE]
Free PMC Article

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