Evidence map›Paper›PMID 35188102›Full record

ArticleeLife2022

Parallel evolution of

Meaghan Castledine, Daniel Padfield, Pawel Sierocinski, Jesica Soria Pascual, Adam Hughes, Lotta Mäkinen, Ville-Petri Friman, Jean-Paul Pirnay, Maya Merabishvili, Daniel de Vos and 1 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
12.9field-weighted citation impact, top 1% 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

54 citing papers in PubMed, 79 citations in OpenAlex.

  1. Giving Antibiotics a Second Chance: Evolutionary Trade-Offs and Phage-Driven Restoration of Antibiotic Susceptibility.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
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  10. Journal of bacteriology · 2025
    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

11 authors at 3 institutions in 3 countries.

Meaghan CastledineCollege of Life and Environmental Sciences, Environment and Sustainability Institute, University of Exeter, Penryn, United Kingdom.ORCID 0000-0001-5752-2641
Daniel PadfieldCollege of Life and Environmental Sciences, Environment and Sustainability Institute, University of Exeter, Penryn, United Kingdom.ORCID 0000-0001-6799-9670
Pawel SierocinskiCollege of Life and Environmental Sciences, Environment and Sustainability Institute, University of Exeter, Penryn, United Kingdom.
Jesica Soria PascualCollege of Life and Environmental Sciences, Environment and Sustainability Institute, University of Exeter, Penryn, United Kingdom.
Adam HughesCollege of Life and Environmental Sciences, Environment and Sustainability Institute, University of Exeter, Penryn, United Kingdom.
Lotta MäkinenCollege of Life and Environmental Sciences, Environment and Sustainability Institute, University of Exeter, Penryn, United Kingdom.
Ville-Petri FrimanDepartment of Biology, University of York, York, United Kingdom.
Jean-Paul PirnayLaboratory for Molecular and Cellular Technology, Queen Astrid Military Hospital, Brussels, Belgium.
Maya MerabishviliLaboratory for Molecular and Cellular Technology, Queen Astrid Military Hospital, Brussels, Belgium.
Daniel de VosLaboratory for Molecular and Cellular Technology, Queen Astrid Military Hospital, Brussels, Belgium.
Angus BucklingCollege of Life and Environmental Sciences, Environment and Sustainability Institute, University of Exeter, Penryn, United Kingdom.
University of Exeter · GBQueen Astrid Military Hospital · BEUniversity of York · GB

Funding

Biotechnology and Biological Sciences Research Council BB/T014342/1Medical Research Council MR/N0137941/1
6 · The paper itself

Abstract

With rising antibiotic resistance, there has been increasing interest in treating pathogenic bacteria with bacteriophages (phage therapy). One limitation of phage therapy is the ease at which bacteria can evolve resistance. Negative effects of resistance may be mitigated when resistance results in reduced bacterial growth and virulence, or when phage coevolves to overcome resistance. Resistance evolution and its consequences are contingent on the bacteria-phage combination and their environmental context, making therapeutic outcomes hard to predict. One solution might be to conduct 'in vitro evolutionary simulations' using bacteria-phage combinations from the therapeutic context. Overall, our aim was to investigate parallels between in vitro experiments and in vivo dynamics in a human participant. Evolutionary dynamics were similar, with high levels of resistance evolving quickly with limited evidence of phage evolution. Resistant bacteria-evolved in vitro and in vivo-had lower virulence. In vivo, this was linked to lower growth rates of resistant isolates, whereas in vitro phage resistant isolates evolved greater biofilm production. Population sequencing suggests resistance resulted from selection on de novo mutations rather than sorting of existing variants. These results highlight the speed at which phage resistance can evolve in vivo, and how in vitro experiments may give useful insights for clinical evolutionary outcomes.

Indexed as

BacteriophagesPhage TherapyBiofilmsHumansPseudomonas aeruginosaVirulencebacteriophageevolutionary biologyexperimental evolutioninfectious diseasemicrobiologyphage therapyPseudomonas aeruginosatrade - offsvirulence

Identifiers

PMID35188102
PMCPMC8912922
OpenAlexW4213183795

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.