Evidence map›Paper›PMID 34154550›Full record

ArticleBMC infectious diseases2021

Genomic epidemiology of methicillin-resistant and -susceptible Staphylococcus aureus from bloodstream infections.

Joshua T Smith, Elissa M Eckhardt, Nicole B Hansel, Tahmineh Rahmani Eliato, Isabella W Martin, Cheryl P Andam

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  3. Population genomic variation inMicrobial genomics · 2026
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  10. Genomic analysis ofiScience · 2024
    Article
  11. Article
  12. Demographic fluctuations in bloodstreamnpj antimicrobials and resistance · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Methicillin-resistantEmerging microbes & infections · 2022
    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

6 authors at 3 institutions in 1 country.

Joshua T SmithDepartment of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH, 03824, USA.
Elissa M EckhardtDartmouth-Hitchcock Medical Center and Dartmouth College Geisel School of Medicine, Lebanon, NH, 03756, USA.
Nicole B HanselDartmouth-Hitchcock Medical Center and Dartmouth College Geisel School of Medicine, Lebanon, NH, 03756, USA.
Tahmineh Rahmani EliatoDepartment of Chemical Engineering, University of New Hampshire, Durham, NH, 03824, USA.
Isabella W MartinDartmouth-Hitchcock Medical Center and Dartmouth College Geisel School of Medicine, Lebanon, NH, 03756, USA. Isabella.W.Martin@hitchcock.org.
Cheryl P AndamDepartment of Biological Sciences, University at Albany, State University of New York, Albany, New York, 12222, USA. candam@albany.edu.
Dartmouth College · USUniversity of New Hampshire · USAlbany State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBloodstream infections due to Staphylococcus aureus cause significant patient morbidity and mortality worldwide. Of major concern is the emergence and spread of methicillin-resistant S. aureus (MRSA) in bloodstream infections, which are associated with therapeutic failure and increased mortality.

methodsWe generated high quality draft genomes from 323 S. aureus blood culture isolates from patients diagnosed with bloodstream infection at the Dartmouth-Hitchcock Medical Center, New Hampshire, USA in 2010-2018.

resultsIn silico detection of antimicrobial resistance genes revealed that 133/323 isolates (41.18%) carry horizontally acquired genes conferring resistance to at least three antimicrobial classes, with resistance determinants for aminoglycosides, beta-lactams and macrolides being the most prevalent. The most common resistance genes were blaZ and mecA, which were found in 262/323 (81.11%) and 104/323 (32.20%) isolates, respectively. Majority of the MRSA (102/105 isolates or 97.14%) identified using in vitro screening were related to two clonal complexes (CC) 5 and 8. The two CCs emerged in the New Hampshire population at separate times. We estimated that the time to the most recent common ancestor of CC5 was 1973 (95% highest posterior density (HPD) intervals: 1966-1979) and 1946 for CC8 (95% HPD intervals: 1924-1959). The effective population size of CC8 increased until the late 1960s when it started to level off until late 2000s. The levelling off of CC8 in 1968 coincided with the acquisition of SCCmec Type IV in majority of the strains. The plateau in CC8 also coincided with the acceleration in the population growth of CC5 carrying SCCmec Type II in the early 1970s, which eventually leveled off in the early 1990s. Lastly, we found evidence for frequent recombination in the two clones during their recent clonal expansion, which has likely contributed to their success in the population.

conclusionsWe conclude that the S. aureus population was shaped mainly by the clonal expansion, recombination and co-dominance of two major MRSA clones in the last five decades in New Hampshire, USA. These results have important implications on the development of effective and robust strategies for intervention, control and treatment of life-threatening bloodstream infections.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialGenomicsHumansMethicillin-Resistant Staphylococcus aureusSepsisStaphylococcal InfectionsStaphylococcus aureusAnti-Bacterial AgentsBloodstream infectionGenome evolutionMethicillin resistanceMultidrug resistanceStaphylococcus aureus

Identifiers

PMID34154550
PMCPMC8215799
OpenAlexW3174288446

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.