ArticleeLife2018
Antibiotic-induced population fluctuations and stochastic clearance of bacteria.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 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
66 citing papers in PubMed, 132 citations in OpenAlex.
- Quantifying antibiotic susceptibility and inoculum effects using transient dynamics of Pseudomonas aeruginosa.PLoS computational biology · 2026Article
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- Simple birth-death-mutation models predict some-but not all-aspects of the experimental evolution of antibiotic resistance.PLoS computational biology · 2026Article
- Beyond resistance and tolerance: rethinking evolutionary responses to antibiotics from the perspective of individual bacterial cells.Nature communications · 2026Review
- Heterogeneous, population-level drug-tolerant persisters exhibit ion-channel remodeling and ferroptosis susceptibility.bioRxiv : the preprint server for biology · 2026Article
- High-resolution, high-throughput detection of hidden antibiotic resistance with the dilution-and-delay (DnD) susceptibility assay.Nature communications · 2026Article
- Slow spatial migration can help eradicate cooperative antimicrobial resistance in time-varying environments.PLoS computational biology · 2026Article
- A nutrient bottleneck controls antibiotic efficacy in structured bacterial populations.Nature communications · 2026Article
- Probability, parameters, and duration of immigration and extinction in microbial communities.The ISME journal · 2026Article
- Probing Antibiotic Inhibition in Small Bacterial Populations With Combinatorial Droplet Microfluidics.Small science · 2026Article
- Suppression of bacterial cell death underlies the antagonistic interaction between ciprofloxacin and tetracycline.Molecular systems biology · 2026Article
- Iron Sulfides Produced by Thermococcales: An Iron Detoxification Mechanism.Environmental microbiology · 2026Article
- Solid Medium Droplet Microarray for Miniaturized Antimicrobial Susceptibility Test.Small science · 2025Article
- Reinforcement learning for adaptive control of phenotypically heterogeneous bacterial populations.bioRxiv : the preprint server for biology · 2025Article
- Principles of bacteriostatic and bactericidal antibiotics at subinhibitory concentrations.mBio · 2025Article
- Research on the application of a high-throughput fully automated bacterial growth curve monitor for screening natural antibacterial compounds.BMC microbiology · 2025Article
- Ciprofloxacin pre-exposure influences individual cell MIC and heteroresistance of bacteria inside microfluidic droplets.Scientific reports · 2025Article
- Bacterial strain type and TEM-1 enzyme allele impact antibiotic susceptibility distribution in monoclonal populations: a single-cell droplet approach.Royal Society open science · 2025Article
- Deciphering and steering population-level response under spatial drug heterogeneity on microhabitat structures.bioRxiv : the preprint server for biology · 2025Article
- Lineage-dependent variations in single-cell antibiotic susceptibility reveal the selective inheritance of phenotypic resistance in bacteria.Nature communications · 2025Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effective antibiotic use that minimizes treatment failures remains a challenge. A better understanding of how bacterial populations respond to antibiotics is necessary. Previous studies of large bacterial populations established the deterministic framework of pharmacodynamics. Here, characterizing the dynamics of population extinction, we demonstrated the stochastic nature of eradicating bacteria with antibiotics. Antibiotics known to kill bacteria (bactericidal) induced population fluctuations. Thus, at high antibiotic concentrations, the dynamics of bacterial clearance were heterogeneous. At low concentrations, clearance still occurred with a non-zero probability. These striking outcomes of population fluctuations were well captured by our probabilistic model. Our model further suggested a strategy to facilitate eradication by increasing extinction probability. We experimentally tested this prediction for antibiotic-susceptible and clinically-isolated resistant bacteria. This new knowledge exposes fundamental limits in our ability to predict bacterial eradication. Additionally, it demonstrates the potential of using antibiotic concentrations that were previously deemed inefficacious to eradicate bacteria.
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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.