Evidence map›Paper›PMID 37392596›Full record

Observational studyEBioMedicine2023

Empirically derived sequence similarity thresholds to study the genomic epidemiology of plasmids shared among healthcare-associated bacterial pathogens.

Daniel Evans, Alexander Sundermann, Marissa Griffith, Vatsala Rangachar Srinivasa, Mustapha Mustapha, Jieshi Chen, Artur Dubrawski, Vaughn Cooper, Lee Harrison, Daria Van Tyne

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in EBioMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. ACCIO: An Assembly-Based Tool Enabling Plasmid Detection.medRxiv : the preprint server for health sciences · 2025
    Article
  5. Review
  6. An outbreak of blaAntimicrobial resistance and infection control · 2024
    Article
  7. Towards quantifying plasmid similarity.Microbial genomics · 2024
    Review
  8. Real-time genomic epidemiologic investigation of a multispecies plasmid-associated hospital outbreak of NDM-5-producing Enterobacterales infections.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024
    Article
  9. Genomic epidemiology and heterogeneity ofEmerging microbes & infections · 2023
    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

10 authors at 2 institutions in 1 country.

Daniel EvansDepartment of Infectious Diseases and Microbiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Alexander SundermannDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Center for Genomic Epidemiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Marissa GriffithDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Center for Genomic Epidemiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Vatsala Rangachar SrinivasaDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Center for Genomic Epidemiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Mustapha MustaphaDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Center for Genomic Epidemiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Jieshi ChenAuton Laboratory, Carnegie Mellon University, Pittsburgh, PA, USA.
Artur DubrawskiAuton Laboratory, Carnegie Mellon University, Pittsburgh, PA, USA.
Vaughn CooperCenter for Genomic Epidemiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Center for Evolutionary Biology and Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Lee HarrisonDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Center for Genomic Epidemiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Daria Van TyneDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Center for Genomic Epidemiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Center for Evolutionary Biology and Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: vantyne@pitt.edu.
University of Pittsburgh · USCarnegie Mellon University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare-associated bacterial pathogens frequently carry plasmids that contribute to antibiotic resistance and virulence. The horizontal transfer of plasmids in healthcare settings has been previously documented, but genomic and epidemiologic methods to study this phenomenon remain underdeveloped. The objectives of this study were to apply whole-genome sequencing to systematically resolve and track plasmids carried by nosocomial pathogens in a single hospital, and to identify epidemiologic links that indicated likely horizontal plasmid transfer.

methodsWe performed an observational study of plasmids circulating among bacterial isolates infecting patients at a large hospital. We first examined plasmids carried by isolates sampled from the same patient over time and isolates that caused clonal outbreaks in the same hospital to develop thresholds with which horizontal plasmid transfer within a tertiary hospital could be inferred. We then applied those sequence similarity thresholds to perform a systematic screen of 3074 genomes of nosocomial bacterial isolates from a single hospital for the presence of 89 plasmids. We also collected and reviewed data from electronic health records for evidence of geotemporal links between patients infected with bacteria encoding plasmids of interest.

findingsOur analyses determined that 95% of analyzed genomes maintained roughly 95% of their plasmid genetic content and accumulated fewer than 15 SNPs per 100 kb of plasmid sequence. Applying these similarity thresholds to identify horizontal plasmid transfer identified 45 plasmids that potentially circulated among clinical isolates. Ten highly preserved plasmids met criteria for geotemporal links associated with horizontal transfer. Several plasmids with shared backbones also encoded different additional mobile genetic element content, and these elements were variably present among the sampled clinical isolate genomes.

interpretationEvidence suggests that the horizontal transfer of plasmids among nosocomial bacterial pathogens appears to be frequent within hospitals and can be monitored with whole genome sequencing and comparative genomics approaches. These approaches should incorporate both nucleotide identity and reference sequence coverage to study the dynamics of plasmid transfer in the hospital.

fundingThis research was supported by the US National Institute of Allergy and Infectious Disease (NIAID) and the University of Pittsburgh School of Medicine.

Indexed as

Anti-Bacterial AgentsCross InfectionBacteriaGenome, BacterialGenomicsHumansPlasmidsAnti-Bacterial AgentsAntibiotic resistanceGenomic epidemiologyHorizontal gene transferPlasmid

Identifiers

PMID37392596
PMCPMC10338199
OpenAlexW4382724573

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.