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Bacterial Biofilms

Overview of attention for book
Attention for Chapter 6: Multidrug tolerance of biofilms and persister cells.
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
634 Mendeley
citeulike
1 CiteULike
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Chapter title
Multidrug tolerance of biofilms and persister cells.
Chapter number 6
Book title
Bacterial Biofilms
Published in
Current topics in microbiology and immunology, December 2007
DOI 10.1007/978-3-540-75418-3_6
Pubmed ID
Book ISBNs
978-3-54-075417-6, 978-3-54-075418-3
Authors

Lewis K, K. Lewis, Lewis, K.

Abstract

Bacterial populations produce a small number of dormant persister cells that exhibit multidrug tolerance. All resistance mechanisms do essentially the same thing: prevent the antibiotic from hitting a target. By contrast, tolerance apparently works by shutting down the targets. Bactericidal antibiotics kill bacteria by corrupting their targets, rather than merely inhibiting them. Shutting down the targets then protects from killing. The number of persisters in a growing population of bacteria rises at mid-log and reaches a maximum of approximately 1% at stationary state. Similarly, slow-growing biofilms produce substantial numbers of persisters. The ability of a biofilm to limit the access of the immune system components, and the ability of persisters to sustain an antibiotic attack could then account for the recalcitrance of such infections in vivo and for their relapsing nature. Isolation of Escherichia coli persisters by lysing a population or by sorting GFP-expressing cells with diminished translation allowed to obtain a gene expression profile. The profile indicated downregulated biosynthetic pathways, consistent with their dormant nature, and indicated overexpression of toxin/antitoxin (TA) modules. Stochastic overexpression of toxins that inhibit essential functions such as translation may contribute to persister formation. Ectopic expression of RelE, MazF, and HipA toxins produced multidrug tolerant cells. Apart from TA modules, glpD and plsB were identified as potential persister genes by overexpression cloning of a genomic library and selection for antibiotic tolerance. Yeast Candida albicans forms recalcitrant biofilm infections that are tolerant to antibiotics, similarly to bacterial biofilms. C. albicans biofilms produce multidrug tolerant persisters that are not mutants, but rather phenotypic variants of the wild type. Unlike bacterial persisters, however, C. albicans persisters were only observed in a biofilm, but not in a planktonic stationary population. Identification of persister genes opens the way to a rational design of anti-biofilm therapy. Combination of a conventional antibiotic with a compound inhibiting persister formation or maintenance may produce an effective therapeutic. Other approaches to the problem include sterile-surface materials, prodrug antibiotics, and cyclical application of conventional antimicrobials.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 634 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 2%
Portugal 1 <1%
France 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Slovenia 1 <1%
Norway 1 <1%
Denmark 1 <1%
Belgium 1 <1%
Other 2 <1%
Unknown 614 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 136 21%
Researcher 90 14%
Student > Master 88 14%
Student > Bachelor 78 12%
Student > Doctoral Student 31 5%
Other 75 12%
Unknown 136 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 191 30%
Biochemistry, Genetics and Molecular Biology 106 17%
Immunology and Microbiology 48 8%
Medicine and Dentistry 29 5%
Engineering 27 4%
Other 83 13%
Unknown 150 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 29 May 2018.
All research outputs
#5,732,292
of 22,764,165 outputs
Outputs from Current topics in microbiology and immunology
#137
of 671 outputs
Outputs of similar age
#31,790
of 155,645 outputs
Outputs of similar age from Current topics in microbiology and immunology
#5
of 17 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 671 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 155,645 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 79% of its contemporaries.
We're also able to compare this research output to 17 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 70% of its contemporaries.