A Murine Mycobacterium marinum Infection Model for Longitudinal Analyses of Disease Development and the Inflammatory Response
(2023) In Methods in Molecular Biology 2674. p.313-326- Abstract
Mycobacterial infections, including tuberculosis, are a major health problem globally. Prevention and treatments of tuberculosis are challenging due to the poor efficacy of the current vaccine and the emergence of drug-resistant strains. Therefore, it is critical to increase our basic understanding of mycobacterial virulence strategies as well as the host immune response during infection in the complex in vivo setting. While existing infection models provide valuable tools for investigating mycobacterial pathogenesis, they also exhibit limitations that can be addressed by the development of complementary models. Here we describe recent advances to the murine Mycobacterium marinum infection model, in which the bacteria produce a local... (More)
Mycobacterial infections, including tuberculosis, are a major health problem globally. Prevention and treatments of tuberculosis are challenging due to the poor efficacy of the current vaccine and the emergence of drug-resistant strains. Therefore, it is critical to increase our basic understanding of mycobacterial virulence strategies as well as the host immune response during infection in the complex in vivo setting. While existing infection models provide valuable tools for investigating mycobacterial pathogenesis, they also exhibit limitations that can be addressed by the development of complementary models. Here we describe recent advances to the murine Mycobacterium marinum infection model, in which the bacteria produce a local infection restricted to the tail tissue. The M. marinum model has the advantage of mimicking some of the key hallmarks of human tuberculosis not replicated in the conventional murine Mycobacterium tuberculosis model, such as the formation of granulomas with central caseating necrosis and the spontaneous development of a latency-like stage. Moreover, the model is non-lethal and enables longitudinal analysis of disease development in live animals. In this chapter, we report protocols to prepare infected tissue samples for detailed and quantitative analysis of the immune response by flow cytometry, immunofluorescence microscopy, RT-qPCR, ELISA, and Western blot, as well as for the analysis of bacterial load and localization.
(Less)
- author
- Lienard, Julia LU ; Munke, Kristina LU and Carlsson, Fredric LU
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Bacterial localization, Caseating necrosis, Granuloma formation, Inflammatory response, Latency, Mouse model, Mycobacterium marinum, Tuberculosis
- host publication
- Bacterial Pathogenesis : Methods and Protocols - Methods and Protocols
- series title
- Methods in Molecular Biology
- editor
- Nordenfelt, Pontus and Collin, Mattias
- volume
- 2674
- edition
- 2
- pages
- 14 pages
- publisher
- Humana Press
- external identifiers
-
- pmid:37258977
- scopus:85160701191
- ISSN
- 1940-6029
- 1064-3745
- ISBN
- 978-1-0716-3245-1
- 978-1-0716-3243-7
- DOI
- 10.1007/978-1-0716-3243-7_21
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: Work in the Carlsson laboratory is supported by the Swedish Research Council, the Knut and Alice Wallenberg Foundation, and the foundation of Alfred Österlund. Work in the Lienard laboratory is supported by the Swedish Research Council and the Royal Physiographic Society in Lund, as well as the foundations of Magnus Bergvall, and Per-Erik and Ulla Schyberg. Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
- id
- 12bc4ede-6c60-4c6a-8542-1196e67e0d21
- date added to LUP
- 2023-08-31 10:01:06
- date last changed
- 2024-04-20 02:18:10
@inbook{12bc4ede-6c60-4c6a-8542-1196e67e0d21,
abstract = {{<p>Mycobacterial infections, including tuberculosis, are a major health problem globally. Prevention and treatments of tuberculosis are challenging due to the poor efficacy of the current vaccine and the emergence of drug-resistant strains. Therefore, it is critical to increase our basic understanding of mycobacterial virulence strategies as well as the host immune response during infection in the complex in vivo setting. While existing infection models provide valuable tools for investigating mycobacterial pathogenesis, they also exhibit limitations that can be addressed by the development of complementary models. Here we describe recent advances to the murine Mycobacterium marinum infection model, in which the bacteria produce a local infection restricted to the tail tissue. The M. marinum model has the advantage of mimicking some of the key hallmarks of human tuberculosis not replicated in the conventional murine Mycobacterium tuberculosis model, such as the formation of granulomas with central caseating necrosis and the spontaneous development of a latency-like stage. Moreover, the model is non-lethal and enables longitudinal analysis of disease development in live animals. In this chapter, we report protocols to prepare infected tissue samples for detailed and quantitative analysis of the immune response by flow cytometry, immunofluorescence microscopy, RT-qPCR, ELISA, and Western blot, as well as for the analysis of bacterial load and localization.</p>}},
author = {{Lienard, Julia and Munke, Kristina and Carlsson, Fredric}},
booktitle = {{Bacterial Pathogenesis : Methods and Protocols}},
editor = {{Nordenfelt, Pontus and Collin, Mattias}},
isbn = {{978-1-0716-3245-1}},
issn = {{1940-6029}},
keywords = {{Bacterial localization; Caseating necrosis; Granuloma formation; Inflammatory response; Latency; Mouse model; Mycobacterium marinum; Tuberculosis}},
language = {{eng}},
pages = {{313--326}},
publisher = {{Humana Press}},
series = {{Methods in Molecular Biology}},
title = {{A Murine Mycobacterium marinum Infection Model for Longitudinal Analyses of Disease Development and the Inflammatory Response}},
url = {{http://dx.doi.org/10.1007/978-1-0716-3243-7_21}},
doi = {{10.1007/978-1-0716-3243-7_21}},
volume = {{2674}},
year = {{2023}},
}