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Potential and use of bacterial small RNAs to combat drug resistance: a systematic review

Overview of attention for article published in Infection and Drug Resistance, December 2017
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Citations

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63 Mendeley
Title
Potential and use of bacterial small RNAs to combat drug resistance: a systematic review
Published in
Infection and Drug Resistance, December 2017
DOI 10.2147/idr.s148444
Pubmed ID
Authors

Hung Chan, Jeffery Ho, Xiaodong Liu, Lin Zhang, Sunny Hei Wong, Matthew TV Chan, William KK Wu

Abstract

Over the decades, new antibacterial agents have been developed in an attempt to combat drug resistance, but they remain unsuccessful. Recently, a novel class of bacterial gene expression regulators, bacterial small RNAs (sRNAs), has received increasing attention toward their involvement in antibiotic resistance. This systematic review aimed to discuss the potential of these small molecules as antibacterial drug targets. Two investigators performed a comprehensive search of MEDLINE, EmBase, and ISI Web of Knowledge from inception to October 2016, without restriction on language. We included all in vitro and in vivo studies investigating the role of bacterial sRNA in antibiotic resistance. Risk of bias of the included studies was assessed by a modified guideline of Systematic Review Center for Laboratory Animal Experimentation (SYRCLE). Initial search yielded 432 articles. After exclusion of non-original articles, 20 were included in this review. Of these, all studies examined bacterial-type strains only. There were neither relevant in vivo nor clinical studies. The SYRCLE scores ranged from to 5 to 7, with an average of 5.9. This implies a moderate risk of bias. sRNAs influenced the antibiotics susceptibility through modulation of gene expression relevant to efflux pumps, cell wall synthesis, and membrane proteins. Preclinical studies on bacterial-type strains suggest that modulation of sRNAs could enhance bacterial susceptibility to antibiotics. Further studies on clinical isolates and in vivo models are needed to elucidate the therapeutic value of sRNA modulation on treatment of multidrug-resistant bacterial infection.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 19%
Student > Ph. D. Student 10 16%
Student > Master 7 11%
Student > Doctoral Student 5 8%
Researcher 4 6%
Other 7 11%
Unknown 18 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 25%
Agricultural and Biological Sciences 4 6%
Immunology and Microbiology 4 6%
Medicine and Dentistry 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Other 10 16%
Unknown 21 33%
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 16 December 2017.
All research outputs
#20,110,957
of 25,584,565 outputs
Outputs from Infection and Drug Resistance
#1,156
of 2,048 outputs
Outputs of similar age
#321,877
of 446,259 outputs
Outputs of similar age from Infection and Drug Resistance
#13
of 28 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,048 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 36th percentile – i.e., 36% 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 446,259 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.