Evidence map›Paper›PMID 38689039›Full record

ReviewNature reviews. Microbiology2024

Ecological and evolutionary mechanisms driving within-patient emergence of antimicrobial resistance.

Matthew J Shepherd, Taoran Fu, Niamh E Harrington, Anastasia Kottara, Kendall Cagney, James D Chalmers, Steve Paterson, Joanne L Fothergill, Michael A Brockhurst

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Adaptive Response ofAntibiotics (Basel, Switzerland) · 2026
    Article
  6. Article
  7. Article
  8. Beyond Resistance Genes:Life (Basel, Switzerland) · 2026
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

9 authors.

Matthew J ShepherdDivision of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK. matthew.shepherd-2@manchester.ac.uk.ORCID http://orcid.org/0000-0002-3283-9930
Taoran FuDivision of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0003-4683-2171
Niamh E HarringtonInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Anastasia KottaraDivision of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK.
Kendall CagneyInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
James D ChalmersDivision of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.
Steve PatersonInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.ORCID http://orcid.org/0000-0002-1307-2981
Joanne L FothergillInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Michael A BrockhurstDivision of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK. michael.brockhurst@manchester.ac.uk.ORCID http://orcid.org/0000-0003-0362-820X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ecological and evolutionary mechanisms of antimicrobial resistance (AMR) emergence within patients and how these vary across bacterial infections are poorly understood. Increasingly widespread use of pathogen genome sequencing in the clinic enables a deeper understanding of these processes. In this Review, we explore the clinical evidence to support four major mechanisms of within-patient AMR emergence in bacteria: spontaneous resistance mutations; in situ horizontal gene transfer of resistance genes; selection of pre-existing resistance; and immigration of resistant lineages. Within-patient AMR emergence occurs across a wide range of host niches and bacterial species, but the importance of each mechanism varies between bacterial species and infection sites within the body. We identify potential drivers of such differences and discuss how ecological and evolutionary analysis could be embedded within clinical trials of antimicrobials, which are powerful but underused tools for understanding why these mechanisms vary between pathogens, infections and individuals. Ultimately, improving understanding of how host niche, bacterial species and antibiotic mode of action combine to govern the ecological and evolutionary mechanism of AMR emergence in patients will enable more predictive and personalized diagnosis and antimicrobial therapies.

Indexed as

Anti-Bacterial AgentsBacteriaBacterial InfectionsDrug Resistance, BacterialGene Transfer, HorizontalEvolution, MolecularHumansMutationAnti-Bacterial Agents

Identifiers

What OpenQuestion holds

Textmetadata
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.