Evidence map›Paper›PMID 30525104›Full record

ArticleScience advances2018

Applying ecological resistance and resilience to dissect bacterial antibiotic responses.

Hannah R Meredith, Virgile Andreani, Helena R Ma, Allison J Lopatkin, Anna J Lee, Deverick J Anderson, Gregory Batt, Lingchong You

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

28 citing papers in PubMed, 57 citations in OpenAlex.

  1. Contributions of intra- and extracellular antibiotic degradation to collective [Formula: see text]-lactam survival.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Review
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  9. Crowding in Anhydrobiosis.Sub-cellular biochemistry · 2025
    Review
  10. Facing stress and inflammation: From the cell to the planet.World journal of experimental medicine · 2024
    Review
  11. Article
  12. Article
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  15. Article
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  18. Fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. Article
  20. Article
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

8 authors at 2 institutions in 2 countries.

Hannah R MeredithDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Virgile AndreaniInria Saclay-Île-de-France, Palaiseau, France.ORCID 0000-0002-2383-1478
Helena R MaDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Allison J LopatkinDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.ORCID 0000-0003-0018-9205
Anna J LeeDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.ORCID 0000-0001-5926-069X
Deverick J AndersonDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0001-6882-5496
Gregory BattInria Saclay-Île-de-France, Palaiseau, France.ORCID 0000-0003-1697-139X
Lingchong YouDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.ORCID 0000-0003-3725-4007
Duke University · USInstitut Pasteur · FR

Funding

A comprehensive research resource to define mechanisms underlying microbial regulation of host metabolism in pediatric obesity and obesity-targeted therapeuticsR24DK110492 · NIDDK · DUKE UNIVERSITY · PI RAWLS, JOHN F, SEED, PATRICK C. · 2016 to 2020
$7.2M
Post-antibiotic effect and design of optimal antibiotic dosing protocolsR01GM098642 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2011 to 2025
$3.6M
A synthetic biology approach to analyze evolution of programmed bacterial deathR01GM110494 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2014 to 2017
$1.2M
NIDDK NIH HHS R24 DK110492NIGMS NIH HHS R01 GM098642NIGMS NIH HHS R01 GM110494
6 · The paper itself

Abstract

An essential property of microbial communities is the ability to survive a disturbance. Survival can be achieved through resistance, the ability to absorb effects of a disturbance without a notable change, or resilience, the ability to recover after being perturbed by a disturbance. These concepts have long been applied to the analysis of ecological systems, although their interpretations are often subject to debate. Here, we show that this framework readily lends itself to the dissection of the bacterial response to antibiotic treatment, where both terms can be unambiguously defined. The ability to tolerate the antibiotic treatment in the short term corresponds to resistance, which primarily depends on traits associated with individual cells. In contrast, the ability to recover after being perturbed by an antibiotic corresponds to resilience, which primarily depends on traits associated with the population. This framework effectively reveals the phenotypic signatures of bacterial pathogens expressing extended-spectrum β-lactamases (ESBLs) when treated by a β-lactam antibiotic. Our analysis has implications for optimizing treatment of these pathogens using a combination of a β-lactam and a β-lactamase (Bla) inhibitor. In particular, our results underscore the need to dynamically optimize combination treatments based on the quantitative features of the bacterial response to the antibiotic or the Bla inhibitor.

Indexed as

Bacterial Physiological PhenomenaDrug Resistance, BacterialAnti-Bacterial AgentsBacteriabeta-LactamasesHumansMicrobial ViabilityModels, BiologicalPhenotypeAnti-Bacterial Agentsbeta-Lactamases

Identifiers

PMID30525104
PMCPMC6281428
OpenAlexW2902626679

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.