Evidence map›Paper›PMID 30202004›Full record

ArticleNature communications2018

Conserved collateral antibiotic susceptibility networks in diverse clinical strains of Escherichia coli.

Nicole L Podnecky, Elizabeth G A Fredheim, Julia Kloos, Vidar Sørum, Raul Primicerio, Adam P Roberts, Daniel E Rozen, Ørjan Samuelsen, Pål J Johnsen

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
9.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 116 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Sequential antibiotic exposure restores antibiotic susceptibility.The Journal of antimicrobial chemotherapy · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Tripartite Loops Reverse Antibiotic Resistance.Molecular biology and evolution · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Drug combinations targeting antibiotic resistance.npj antimicrobials and resistance · 2024
    Review
  19. Article
  20. Review

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Nicole L PodneckyDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway. nicole.podnecky@uit.no.
Elizabeth G A FredheimDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
Julia KloosDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
Vidar SørumDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
Raul PrimicerioDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
Adam P RobertsDepartment of Parasitology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
Daniel E RozenInstitute of Biology, Leiden University, Sylviusweg 72, PO Box 9505, 2300 RA, Leiden, The Netherlands.
Ørjan SamuelsenDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway.ORCID http://orcid.org/0000-0002-5525-2614
Pål J JohnsenDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway. paal.johnsen@uit.no.
UiT The Arctic University of Norway · NOLeiden University · NLLiverpool School of Tropical Medicine · GBUniversity Hospital of North Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is urgent need to develop novel treatment strategies to reduce antimicrobial resistance. Collateral sensitivity (CS), where resistance to one antimicrobial increases susceptibility to other drugs, might enable selection against resistance during treatment. However, the success of this approach would depend on the conservation of CS networks across genetically diverse bacterial strains. Here, we examine CS conservation across diverse Escherichia coli strains isolated from urinary tract infections. We determine collateral susceptibilities of mutants resistant to relevant antimicrobials against 16 antibiotics. Multivariate statistical analyses show that resistance mechanisms, in particular efflux-related mutations, as well as the relative fitness of resistant strains, are principal contributors to collateral responses. Moreover, collateral responses shift the mutant selection window, suggesting that CS-informed therapies may affect evolutionary trajectories of antimicrobial resistance. Our data allow optimism for CS-informed therapy and further suggest that rapid detection of resistance mechanisms is important to accurately predict collateral responses.

Indexed as

Microbial Sensitivity TestsAmdinocillinAnti-Bacterial AgentsCiprofloxacinDrug Resistance, BacterialEscherichia coliEscherichia coli InfectionsGenetic Predisposition to DiseaseGenetic VariationHumansModels, StatisticalMultivariate AnalysisMutationNitrofurantoinPhylogenyTrimethoprimAmdinocillinAnti-Bacterial AgentsCiprofloxacinNitrofurantoinTrimethoprim

Identifiers

PMID30202004
PMCPMC6131505
OpenAlexW2891024999

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.