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Nationwide molecular epidemiology of methicillin-resistant Staphylococcus aureus responsible for horse infections in France

Overview of attention for article published in BMC Microbiology, May 2017
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Title
Nationwide molecular epidemiology of methicillin-resistant Staphylococcus aureus responsible for horse infections in France
Published in
BMC Microbiology, May 2017
DOI 10.1186/s12866-016-0924-z
Pubmed ID
Authors

François Guérin, Marguerite Fines-Guyon, Pierrick Meignen, Géraldine Delente, Caroline Fondrinier, Nancy Bourdon, Vincent Cattoir, Albertine Léon

Abstract

The epidemiology of methicillin-resistant Staphylococcus aureus (MRSA) isolated in horse infections is not well documented, especially in France. The aim of the study was to evaluate the prevalence of MRSA isolates in horse infections from 2007 to 2013 in France and to characterize phenotypically and genotypically this collection. Out of 1393 S. aureus horse isolates, 85 (6.1%) were confirmed to be MRSA. Interestingly, the prevalence of MRSA significantly increased from 2007-2009 to 2010-2013 (0.7 vs. 9.5%, P <0.0001). Resistance to methicillin was due to the presence of the mecA gene in 84 strains (98.8%) while one strain (1.2%) possessed the mecC gene. The vast majority of the strains (83/85, 97.6%) was resistant to at least three different classes of antibiotics. Multi-locus sequence typing (MLST) showed that MRSA strains belonged mainly since not all belong to two sequence types (STs): ST398 (53/85, 62.4%) and ST8 (28/85, 32.9%). It is worth to note that all ST398 MRSA isolates were detected in the period 2010-2013. Other molecular typing methods were also used, such SCC mec analysis, spa typing and rep-PCR (Diversilab, bioMérieux). All these four techniques were in good agreement, with spa typing and rep-PCR being more discriminative than MLST and SCC mec typing. This study is the first epidemiological study in France with extensive characterization of MRSA isolates associated with horse infections in stud farms. It shows that there is a significant increase of MRSA prevalence between 2007 and 2013, which mainly results from the spread of ST398 clones. It also highlights the importance of horses as a potential reservoir of important antimicrobial resistance genes.

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The data shown below were collected from the profiles of 3 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Postgraduate 4 13%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Student > Master 3 9%
Other 6 19%
Unknown 6 19%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 6 19%
Immunology and Microbiology 5 16%
Biochemistry, Genetics and Molecular Biology 2 6%
Medicine and Dentistry 2 6%
Engineering 2 6%
Other 5 16%
Unknown 10 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 May 2017.
All research outputs
#15,424,842
of 23,881,329 outputs
Outputs from BMC Microbiology
#1,635
of 3,286 outputs
Outputs of similar age
#185,941
of 312,942 outputs
Outputs of similar age from BMC Microbiology
#30
of 60 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,286 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 312,942 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.