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Engineering microbes for targeted strikes against human pathogens

Overview of attention for article published in Cellular and Molecular Life Sciences, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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1 blog
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97 Mendeley
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Title
Engineering microbes for targeted strikes against human pathogens
Published in
Cellular and Molecular Life Sciences, May 2018
DOI 10.1007/s00018-018-2827-7
Pubmed ID
Authors

In Young Hwang, Hui Ling Lee, James Guoxian Huang, Yvonne Yijuan Lim, Wen Shan Yew, Yung Seng Lee, Matthew Wook Chang

Abstract

Lack of pathogen specificity in antimicrobial therapy causes non-discriminant microbial cell killing that disrupts the microflora present. As a result, potentially helpful microbial cells are killed along with the pathogen, altering the biodiversity and dynamic interactions within the population. Moreover, the unwarranted exposure of antibiotics to microbes increases the likelihood of developing resistance and perpetuates the emergence of multidrug resistance. Synthetic biology offers an alternative solution where specificity can be conferred to reduce the non-specific, non-targeted activity of currently available antibiotics, and instead provides targeted therapy against specific pathogens and minimising collateral damage to the host's inherent microbiota. With a greater understanding of the microbiome and the available genetic engineering tools for microbial cells, it is possible to devise antimicrobial strategies for novel antimicrobial therapy that are able to precisely and selectively remove infectious pathogens. Herein, we review the strategies developed by unlocking some of the natural mechanisms used by the microbes and how these may be utilised in targeted antimicrobial therapy, with the promise of reducing the current global bane of multidrug antimicrobial resistance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 15%
Student > Ph. D. Student 14 14%
Student > Bachelor 11 11%
Student > Postgraduate 8 8%
Student > Master 8 8%
Other 9 9%
Unknown 32 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 18%
Agricultural and Biological Sciences 12 12%
Immunology and Microbiology 11 11%
Medicine and Dentistry 11 11%
Engineering 6 6%
Other 6 6%
Unknown 34 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 24 March 2023.
All research outputs
#3,002,753
of 25,550,333 outputs
Outputs from Cellular and Molecular Life Sciences
#473
of 5,914 outputs
Outputs of similar age
#58,586
of 341,944 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#9
of 42 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,914 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 92% 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 341,944 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 82% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.