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The evolution of antibiotic resistance is associated with collateral drug phenotypes in Mycobacterium tuberculosis

Overview of attention for article published in Nature Communications, March 2023
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
14 news outlets
twitter
100 X users

Readers on

mendeley
136 Mendeley
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Article details
Title
The evolution of antibiotic resistance is associated with collateral drug phenotypes in Mycobacterium tuberculosis
Published in
Nature Communications, March 2023
DOI 10.1038/s41467-023-37184-7
Pubmed ID
Authors
Abstract

The increasing incidence of drug resistance in Mycobacterium tuberculosis has diminished the efficacy of almost all available antibiotics, complicating efforts to combat the spread of this global health burden. Alongside the development of new drugs, optimised drug combinations are needed to improve treatment success and prevent the further spread of antibiotic resistance. Typically, antibiotic resistance leads to reduced sensitivity, yet in some cases the evolution of drug resistance can lead to enhanced sensitivity to unrelated drugs. This phenomenon of collateral sensitivity is largely unexplored in M. tuberculosis but has the potential to identify alternative therapeutic strategies to combat drug-resistant strains that are unresponsive to current treatments. Here, by using drug susceptibility profiling, genomics and evolutionary studies we provide evidence for the existence of collateral drug sensitivities in an isogenic collection M. tuberculosis drug-resistant strains. Furthermore, in proof-of-concept studies, we demonstrate how collateral drug phenotypes can be exploited to select against and prevent the emergence of drug-resistant strains. This study highlights that the evolution of drug resistance in M. tuberculosis leads to collateral drug responses that can be exploited to design improved drug regimens.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 100 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 19 14%
Student > Ph. D. Student 18 13%
Student > Master 12 9%
Student > Bachelor 7 5%
Student > Doctoral Student 5 4%
Other 11 8%
Unknown 64 47%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 12%
Agricultural and Biological Sciences 13 10%
Immunology and Microbiology 9 7%
Medicine and Dentistry 7 5%
Chemistry 5 4%
Other 14 10%
Unknown 72 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 163. 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 13 June 2025.
All research outputs
#317,540
of 34,590,055 outputs
Outputs from Nature Communications
#4,537
of 83,443 outputs
Outputs of similar age
#6,710
of 466,102 outputs
Outputs of similar age from Nature Communications
#112
of 1,900 outputs
Altmetric has tracked 34,590,055 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 49.4. This one has done particularly well, scoring higher than 94% 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 466,102 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 1,900 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.