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Recent advances in modelling Shigella infection.

Authors :
Miles, Sydney L.
Holt, Kathryn E.
Mostowy, Serge
Source :
Trends in Microbiology. Sep2024, Vol. 32 Issue 9, p917-924. 8p.
Publication Year :
2024

Abstract

Shigella is an important human-adapted pathogen for which there is an increasing incidence of antimicrobial resistance and no effective vaccine. Modelling Shigella infection of humans has historically been difficult, but new technologies and animal models have emerged to recapitulate key hallmarks of shigellosis. The use of organ-on-chip technology, zebrafish infection models, transgenic mouse models, and human challenge studies all uniquely contribute to our understanding of Shigella infection biology. Recent advances have illuminated our understanding of Shigella pathogenesis, guiding vaccine strategies and moving us closer to human health impact. Shigella is an important human-adapted pathogen which contributes to a large global burden of diarrhoeal disease. Together with the increasing threat of antimicrobial resistance and lack of an effective vaccine, there is great urgency to identify novel therapeutics and preventatives to combat Shigella infection. In this review, we discuss the development of innovative technologies and animal models to study mechanisms underlying Shigella infection of humans. We examine recent literature introducing (i) the organ-on-chip model, and its substantial contribution towards understanding the biomechanics of Shigella infection, (ii) the zebrafish infection model, which has delivered transformative insights into the epidemiological success of clinical isolates and the innate immune response to Shigella , (iii) a pioneering oral mouse model of shigellosis, which has helped to discover new inflammasome biology and protective mechanisms against shigellosis , and (iv) the controlled human infection model, which has been effective in translating basic research into human health impact and assessing suitability of novel vaccine candidates. We consider the recent contributions of each model and discuss where the future of modelling Shigella infection lies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0966842X
Volume :
32
Issue :
9
Database :
Academic Search Index
Journal :
Trends in Microbiology
Publication Type :
Academic Journal
Accession number :
179239023
Full Text :
https://doi.org/10.1016/j.tim.2024.02.004