Evidence map›Paper›PMID 30742072›Full record

ArticleNature microbiology2019

The high prevalence of antibiotic heteroresistance in pathogenic bacteria is mainly caused by gene amplification.

Hervé Nicoloff, Karin Hjort, Bruce R Levin, Dan I Andersson

Abstract read
PubMed Publisher
In one paragraph

Article in Nature microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 257 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
257citing papers in PubMed, 1 pooled it
14.6field-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

257 citing papers in PubMed, 1 synthesis or guideline pooled it, 400 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Within-patient carbapenem heteroresistance inCurrent research in microbial sciences · 2026
    Article
  4. Observational
  5. Review
  6. Review
  7. Article
  8. Article
  9. ISmLife · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Biofilm Formation and the Pore ProteinsAntibiotics (Basel, Switzerland) · 2026
    Article
  17. Review
  18. Article
  19. Review
  20. Article

197 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 2 countries.

Hervé NicoloffDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Karin HjortDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Bruce R LevinDepartment of Biology, Emory University, Atlanta, GA, USA.
Dan I AnderssonDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden. Dan.Andersson@imbim.uu.se.ORCID http://orcid.org/0000-0001-6640-2174
Uppsala University · SEEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When choosing antibiotics to treat bacterial infections, it is assumed that the susceptibility of the target bacteria to an antibiotic is reflected by laboratory estimates of the minimum inhibitory concentration (MIC) needed to prevent bacterial growth. A caveat of using MIC data for this purpose is heteroresistance, the presence of a resistant subpopulation in a main population of susceptible cells. We investigated the prevalence and mechanisms of heteroresistance in 41 clinical isolates of the pathogens Escherichia coli, Salmonella enterica, Klebsiella pneumoniae and Acinetobacter baumannii against 28 different antibiotics. For the 766 bacteria-antibiotic combinations tested, as much as 27.4% of the total was heteroresistant. Genetic analysis demonstrated that a majority of heteroresistance cases were unstable, with an increased resistance of the subpopulations resulting from spontaneous tandem amplifications, typically including known resistance genes. Using mathematical modelling, we show how heteroresistance in the parameter range estimated in this study can result in the failure of antibiotic treatment of infections with bacteria that are classified as antibiotic susceptible. The high prevalence of heteroresistance with the potential for treatment failure highlights the limitations of MIC as the sole criterion for susceptibility determinations. These results call for the development of facile and rapid protocols to identify heteroresistance in pathogens.

Indexed as

Gene AmplificationAcinetobacterAnti-Bacterial AgentsBacteriaColistinDrug Resistance, Multiple, BacterialHumansMicrobial Sensitivity TestsModels, TheoreticalPrevalenceAnti-Bacterial AgentsColistin

Identifiers

PMID30742072
OpenAlexW2911964808

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.