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Demonstrating the utility of the ex vivo murine mycobacterial growth inhibition assay (MGIA) for high-throughput screening of tuberculosis vaccine candidates against multiple Mycobacterium tuberculosis complex strains

Abstract:

Human tuberculosis (TB) is caused by various members of the Mycobacterium tuberculosis (Mtb) complex. Differences in host response to infection have been reported, illustrative of a need to evaluate efficacy of novel vaccine candidates against multiple strains in preclinical studies. We previously showed that the murine lung and spleen direct mycobacterial growth inhibition assay (MGIA) can be used to assess control of ex vivo mycobacterial growth by host cells. The number of mice required for the assay is significantly lower than in vivo studies, facilitating testing of multiple strains and/or the incorporation of other cellular analyses. Here, we provide proof-of-concept that the murine MGIA can be applied to evaluate vaccine-induced protection against multiple Mtb clinical isolates. Using an ancient and modern strain of the Mtb complex, we demonstrate that ex vivo bacillus Calmette–Guérin (BCG)-mediated mycobacterial growth inhibition recapitulates protection observed in the lung and spleen following in vivo infection of mice. Further, we provide the first report of cellular and transcriptional correlates of BCG-induced growth inhibition in the lung MGIA. The ex vivo MGIA represents a promising platform to gain early insight into vaccine performance against a collection of Mtb strains and improve preclinical evaluation of TB vaccine candidates.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.tube.2024.102494

Authors

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Role:
Author
ORCID:
0000-0003-0445-7473
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Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author


Publisher:
Elsevier
Journal:
Tuberculosis More from this journal
Volume:
146
Article number:
102494
Publication date:
2024-02-13
Acceptance date:
2024-02-11
DOI:
EISSN:
1873-281X
ISSN:
1472-9792


Language:
English
Keywords:
Pubs id:
1619333
Local pid:
pubs:1619333
Deposit date:
2024-02-16
ARK identifier:

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