Evidence map›Paper›PMID 34584086›Full record

ArticleNature communications2021

Design principles of collateral sensitivity-based dosing strategies.

Linda B S Aulin, Apostolos Liakopoulos, Piet H van der Graaf, Daniel E Rozen, J G Coen van Hasselt

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

36 citing papers in PubMed.

  1. Article
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  14. Tripartite Loops Reverse Antibiotic Resistance.Molecular biology and evolution · 2025
    Article
  15. Antibiotic killing of drug-induced bacteriostatic cells.Antimicrobial agents and chemotherapy · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Linda B S AulinLeiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands. l.b.s.aulin@lacdr.leidenuniv.nl.ORCID http://orcid.org/0000-0003-4840-5704
Apostolos LiakopoulosInstitute of Biology, Leiden University, Leiden, The Netherlands.
Piet H van der GraafLeiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Daniel E RozenInstitute of Biology, Leiden University, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-7772-0239
J G Coen van HasseltLeiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands. coen.vanhasselt@lacdr.leidenuniv.nl.ORCID http://orcid.org/0000-0002-1664-7314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collateral sensitivity (CS)-based antibiotic treatments, where increased resistance to one antibiotic leads to increased sensitivity to a second antibiotic, may have the potential to limit the emergence of antimicrobial resistance. However, it remains unclear how to best design CS-based treatment schedules. To address this problem, we use mathematical modelling to study the effects of pathogen- and drug-specific characteristics for different treatment designs on bacterial population dynamics and resistance evolution. We confirm that simultaneous and one-day cycling treatments could supress resistance in the presence of CS. We show that the efficacy of CS-based cycling therapies depends critically on the order of drug administration. Finally, we find that reciprocal CS is not essential to suppress resistance, a result that significantly broadens treatment options given the ubiquity of one-way CS in pathogens. Overall, our analyses identify key design principles of CS-based treatment strategies and provide guidance to develop treatment schedules to suppress resistance.

Indexed as

Drug Collateral SensitivityModels, BiologicalAnti-Bacterial AgentsBacterial InfectionsComputer SimulationDrug Administration ScheduleDrug Resistance, BacterialDrug Therapy, CombinationHumansMicrobial Sensitivity TestsMutationAnti-Bacterial Agents

Identifiers

PMID34584086
PMCPMC8479078

What OpenQuestion holds

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LicenceCC BY
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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.