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Diversity and regulation of intrinsic β-lactamases from non-fermenting and other Gram-negative opportunistic pathogens

Overview of attention for article published in FEMS Microbiology Reviews, September 2017
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  • Good Attention Score compared to outputs of the same age (65th percentile)

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Title
Diversity and regulation of intrinsic β-lactamases from non-fermenting and other Gram-negative opportunistic pathogens
Published in
FEMS Microbiology Reviews, September 2017
DOI 10.1093/femsre/fux043
Pubmed ID
Authors

Carlos Juan, Gabriel Torrens, Mar González-Nicolau, Antonio Oliver

Abstract

This review deeply addresses for the first time the diversity, regulation and mechanisms leading to mutational overexpression of intrinsic β-lactamases from non-fermenting and other non-Enterobacteriaceae Gram-negative opportunistic pathogens. After a general overview of the intrinsic β-lactamases described so far in these microorganisms, including circa. 60 species and 100 different enzymes, we review the wide array of regulatory pathways of these β-lactamases. They include diverse LysR-type regulators, which control the expression of β-lactamases from relevant nosocomial pathogens such as Pseudomonas aeruginosa or Stenothrophomonas maltophilia or two-component regulators, with special relevance in Aeromonas spp., along with other pathways. Likewise, the multiple mutational mechanisms leading to β-lactamase overexpression and β-lactam resistance development, including AmpD (N-acetyl-muramyl-L-alanine amidase), DacB (PBP4), MrcA (PPBP1A) and other PBPs, BlrAB (two-component regulator) or several lytic transglycosylases among others, are also described. Moreover, we address the growing evidence of a major interplay between β-lactamase regulation, peptidoglycan metabolism and virulence. Finally, we analyse recent works showing that blocking of peptidoglycan recycling (such as inhibition of NagZ or AmpG) might be useful to prevent and revert β-lactam resistance. Altogether, the provided information and the identified gaps should be valuable for guiding future strategies for combating multidrug-resistant Gram-negative pathogens.

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X Demographics

The data shown below were collected from the profiles of 7 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 15%
Student > Bachelor 12 10%
Student > Master 11 9%
Student > Doctoral Student 10 9%
Researcher 9 8%
Other 25 21%
Unknown 33 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 24%
Immunology and Microbiology 12 10%
Agricultural and Biological Sciences 11 9%
Medicine and Dentistry 9 8%
Veterinary Science and Veterinary Medicine 3 3%
Other 14 12%
Unknown 40 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 June 2018.
All research outputs
#7,359,319
of 25,382,440 outputs
Outputs from FEMS Microbiology Reviews
#729
of 1,295 outputs
Outputs of similar age
#108,732
of 326,430 outputs
Outputs of similar age from FEMS Microbiology Reviews
#18
of 25 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,295 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 42nd percentile – i.e., 42% 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 326,430 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.