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Modelling invasive group A streptococcal disease using bioluminescence

Overview of attention for article published in BMC Microbiology, June 2018
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Title
Modelling invasive group A streptococcal disease using bioluminescence
Published in
BMC Microbiology, June 2018
DOI 10.1186/s12866-018-1200-1
Pubmed ID
Authors

L. E. Lamb, X. Zhi, F. Alam, M. Pyzio, C. L. Scudamore, S. Wiles, S. Sriskandan

Abstract

The development of vaccines and evaluation of novel treatment strategies for invasive group A streptococcal (iGAS) disease requires suitable models of human infection that can be monitored longitudinally and are preferably non-invasive. Bio-photonic imaging provides an opportunity to reduce use of animals in infection modelling and refine the information that can be obtained, however the range of bioluminescent GAS strains available is limited. In this study we set out to develop bioluminescent iGAS strains for use in in vivo pneumonia and soft tissue disease models. Using clinical emm1, emm3, and emm89 GAS strains that were transformed with constructs carrying the luxABCDE operon, growth and bioluminescence of transformed strains were characterised in vitro and in vivo. Emm3 and emm89 strains expressed detectable bioluminescence when transformed with a replicating plasmid and light production correlated with viable bacterial counts in vitro, however plasmid instability precluded use in the absence of antimicrobial pressure. Emm89 GAS transformed with an integrating construct demonstrated stable bioluminescence that was maintained in the absence of antibiotics. Bioluminescence of the emm89 strain correlated with viable bacterial counts both in vitro and immediately following infection in vivo. Although bioluminescence conferred a detectable fitness burden to the emm89 strain during soft tissue infection in vivo, it did not prevent dissemination to distant tissues. Development of stably bioluminescent GAS for use in vitro and in vivo models of infection should facilitate development of novel therapeutics and vaccines while also increasing our understanding of infection progression and transmission routes.

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Mendeley readers

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The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Ph. D. Student 3 20%
Student > Bachelor 2 13%
Other 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 3 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 27%
Immunology and Microbiology 4 27%
Agricultural and Biological Sciences 3 20%
Unknown 4 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 June 2018.
All research outputs
#20,522,137
of 23,090,520 outputs
Outputs from BMC Microbiology
#2,709
of 3,216 outputs
Outputs of similar age
#287,383
of 328,030 outputs
Outputs of similar age from BMC Microbiology
#32
of 38 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,216 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.