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Galleria mellonella Infection Model Demonstrates High Lethality of ST69 and ST127 Uropathogenic E. coli

Overview of attention for article published in PLOS ONE, July 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
Galleria mellonella Infection Model Demonstrates High Lethality of ST69 and ST127 Uropathogenic E. coli
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0101547
Pubmed ID
Authors

Majed F. Alghoribi, Tarek M. Gibreel, Andrew R. Dodgson, Scott A. Beatson, Mathew Upton

Abstract

Galleria mellonella larvae are an alternative in vivo model for investigating bacterial pathogenicity. Here, we examined the pathogenicity of 71 isolates from five leading uropathogenic E. coli (UPEC) lineages using G. mellonella larvae. Larvae were challenged with a range of inoculum doses to determine the 50% lethal dose (LD50) and for analysis of survival outcome using Kaplan-Meier plots. Virulence was correlated with carriage of a panel of 29 virulence factors (VF). Larvae inoculated with ST69 and ST127 isolates (10(4) colony-forming units/larvae) showed significantly higher mortality rates than those infected with ST73, ST95 and ST131 isolates, killing 50% of the larvae within 24 hours. Interestingly, ST131 isolates were the least virulent. We observed that ST127 isolates are significantly associated with a higher VF-score than isolates of all other STs tested (P≤0.0001), including ST69 (P<0.02), but one ST127 isolate (strain EC18) was avirulent. Comparative genomic analyses with virulent ST127 strains revealed an IS1 mediated deletion in the O-antigen cluster in strain EC18, which is likely to explain the lack of virulence in the larvae infection model. Virulence in the larvae was not correlated with serotype or phylogenetic group. This study illustrates that G. mellonella are an excellent tool for investigation of the virulence of UPEC strains. The findings also support our suggestion that the incidence of ST127 strains should be monitored, as these isolates have not yet been widely reported, but they clearly have a pathogenic potential greater than that of more widely recognised clones, including ST73, ST95 or ST131.

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X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
New Zealand 1 <1%
Brazil 1 <1%
Unknown 108 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 18%
Researcher 20 18%
Student > Bachelor 19 17%
Student > Master 14 13%
Student > Doctoral Student 5 4%
Other 10 9%
Unknown 24 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 23%
Immunology and Microbiology 17 15%
Biochemistry, Genetics and Molecular Biology 15 13%
Medicine and Dentistry 9 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 12 11%
Unknown 29 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 25 April 2017.
All research outputs
#3,286,775
of 24,061,085 outputs
Outputs from PLOS ONE
#43,213
of 206,530 outputs
Outputs of similar age
#32,628
of 233,030 outputs
Outputs of similar age from PLOS ONE
#860
of 4,772 outputs
Altmetric has tracked 24,061,085 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 206,530 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 233,030 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 4,772 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.