학술논문

A novel biosafety level 2 compliant tuberculosis infection model using a ΔleuDΔpanCDdouble auxotroph of Mycobacterium tuberculosisH37Rv and Galleria mellonella
Document Type
Article
Source
Virulence; December 2020, Vol. 11 Issue: 1 p811-824, 14p
Subject
Language
ISSN
21505594; 21505608
Abstract
ABSTRACTMammalian infection models have contributed significantly to our understanding of the host-mycobacterial interaction, revealing potential mechanisms and targets for novel antimycobacterial therapeutics. However, the use of conventional mammalian models such as mice, are typically expensive, high maintenance, require specialized animal housing, and are ethically regulated. Furthermore, research using Mycobacterium tuberculosis(MTB), is inherently difficult as work needs to be carried out at biosafety level 3 (BSL3). The insect larvae of Galleria mellonella(greater wax moth), have become increasingly popular as an infection model, and we previously demonstrated its potential as a mycobacterial infection model using Mycobacterium bovisBCG. Here we present a novel BSL2 complaint MTB infection model using G. mellonellain combination with a bioluminescent ΔleuDΔpanCDdouble auxotrophic mutant of MTB H37Rv (SAMTB lux) which offers safety and practical advantages over working with wild type MTB. Our results show a SAMTB luxdose dependent survival of G. mellonellalarvae and demonstrate proliferation and persistence of SAMTB luxbioluminescence over a 1 week infection time course. Histopathological analysis of G. mellonella, highlight the formation of early granuloma-like structures which matured over time. We additionally demonstrate the drug efficacy of first (isoniazid, rifampicin, and ethambutol) and second line (moxifloxacin) antimycobacterial drugs. Our findings demonstrate the broad potential of this insect model to study MTB infection under BSL2 conditions. We anticipate that the successful adaptation and implementation of this model will remove the inherent limitations of MTB research at BSL3 and increase tuberculosis research output.