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Acceleration and suppression of resistance development by antibiotic combinations

Overview of attention for article published in BMC Genomics, April 2017
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Title
Acceleration and suppression of resistance development by antibiotic combinations
Published in
BMC Genomics, April 2017
DOI 10.1186/s12864-017-3718-2
Pubmed ID
Authors

Shingo Suzuki, Takaaki Horinouchi, Chikara Furusawa

Abstract

The emergence and spread of antibiotic resistance in bacteria is becoming a global public health problem. Combination therapy, i.e., the simultaneous use of multiple antibiotics, is used for long-term treatment to suppress the emergence of resistant strains. However, the effect of the combinatorial use of multiple drugs on the development of resistance remains elusive, especially in a quantitative assessment. To understand the evolutionary dynamics under combination therapy, we performed laboratory evolution of Escherichia coli under simultaneous addition of two-drug combinations. We demonstrated that simultaneous addition of a certain combinations of two drugs with collateral sensitivity to each other could suppress the acquisition of resistance to both drugs. Furthermore, we found that the combinatorial use of enoxacin, a DNA replication inhibitor, with Chloramphenicol can accelerate acquisition of resistance to Chloramphenicol. Genome resequencing analyses of the evolved strains suggested that the acceleration of resistance acquisition was caused by an increase of mutation frequency when enoxacin was added. Integration of laboratory evolution and whole-genome sequencing enabled us to characterize the development of resistance in bacteria under combination therapy. These results provide a basis for rational selection of antibiotic combinations that suppress resistance development effectively.

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The data shown below were collected from the profiles of 2 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 <1%
Unknown 100 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 18%
Student > Master 18 18%
Researcher 12 12%
Student > Bachelor 6 6%
Student > Doctoral Student 6 6%
Other 12 12%
Unknown 29 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 27%
Agricultural and Biological Sciences 16 16%
Immunology and Microbiology 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 6 6%
Medicine and Dentistry 4 4%
Other 11 11%
Unknown 31 31%
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 28 April 2017.
All research outputs
#17,887,790
of 22,968,808 outputs
Outputs from BMC Genomics
#7,606
of 10,686 outputs
Outputs of similar age
#220,631
of 309,828 outputs
Outputs of similar age from BMC Genomics
#161
of 226 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 309,828 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.