ArticleScientific reports2018
Beyond dose: Pulsed antibiotic treatment schedules can maintain individual benefit while reducing resistance.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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.
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Who cites it
15 citing papers in PubMed, 34 citations in OpenAlex.
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- Recurrent neural chemical reaction networks trained to switch dynamical behaviours through learned bifurcations.Journal of the Royal Society, Interface · 2026Article
- Dynamical memory underlies prolonged plasmid persistence after transient antibiotic treatment.bioRxiv : the preprint server for biology · 2025Article
- Threshold-based disease treatment approach modulates economic, conservation and evolutionary trade-offs in sea louse-salmon aquaculture system.Theoretical ecology · 2025Article
- Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.eLife · 2024Article
- Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.bioRxiv : the preprint server for biology · 2024Article
- Optimization of periodic treatment strategies for bacterial biofilms using an agent-basedJournal of the Royal Society, Interface · 2024Article
- Prediction of Antibiotic Resistance Evolution by Growth Measurement of All Proximal Mutants of Beta-Lactamase.Molecular biology and evolution · 2022Article
- Challenging T > MIC Using Meropenem vs.Frontiers in pharmacology · 2022Article
- Using ecological coexistence theory to understand antibiotic resistance and microbial competition.Nature ecology & evolution · 2021Review
- A Novel Approach to the Treatment and Prevention of Alzheimer's Disease Based on the Pathology and Microbiology.Journal of Alzheimer's disease : JAD · 2021Article
- Environmental fluctuations can promote evolutionary rescue in high-extinction-risk scenarios.Proceedings. Biological sciences · 2020Article
- Highly parallel lab evolution reveals that epistasis can curb the evolution of antibiotic resistance.Nature communications · 2020Article
- Aggressive or moderate drug therapy for infectious diseases? Trade-offs between different treatment goals at the individual and population levels.PLoS computational biology · 2019Article
- Five rules for resistance management in the antibiotic apocalypse, a road map for integrated microbial management.Evolutionary applications · 2019Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
The emergence of treatment-resistant microbes is a key challenge for disease treatment and a leading threat to human health and wellbeing. New drugs are always in development, but microbes regularly and rapidly acquire resistance. We must consider if altering how we administer drugs at the individual level could slow development of resistance. Here we use mathematical models to show that exposing microbes to drug pulses could greatly reduce resistance without increasing individual pathogen load. Our results stem from two key factors: the presence of antibiotics creates a selection pressure for antibiotic resistant microbes, and large populations of bacteria are more likely to harbor drug resistance than small populations. Drug pulsing targets these factors simultaneously. Short duration pulses minimize the time during which there is selection for resistance, and high drug concentrations minimize pathogen abundance. Our work provides a theoretical basis for the design of in vitro and in vivo experiments to test how drug pulsing might reduce the impact of drug resistant infections.
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Registered trials
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.