Evidence map›Paper›PMID 36823379›Full record

ArticleCommunications medicine2023

Strain-level bacterial typing directly from patient samples using optical DNA mapping.

My Nyblom, Anna Johnning, Karolin Frykholm, Marie Wrande, Vilhelm Müller, Gaurav Goyal, Miriam Robertsson, Albertas Dvirnas, Tsegaye Sewunet, Sriram Kk and 5 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Understanding recurrence inJournal of clinical microbiology · 2026
    Review
  4. Strain-Level Typing ofACS infectious diseases · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Short-sighted evolution of virulence for invasive gut microbes: From hypothesis to tests.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

15 authors at 7 institutions in 1 country.

My Nyblom *Department of Life Sciences, Chalmers University of Technology, Gothenburg, 412 96, Sweden.ORCID http://orcid.org/0000-0002-8729-8246
Anna Johnning *Department of Mathematical Sciences, Chalmers University of Technology & University of Gothenburg, Gothenburg, 412 96, Sweden.ORCID http://orcid.org/0000-0003-2185-2432
Karolin FrykholmDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, 412 96, Sweden.
Marie WrandeDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, 751 23, Sweden.
Vilhelm MüllerDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, 412 96, Sweden.
Gaurav GoyalDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, 412 96, Sweden.
Miriam RobertssonDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, 412 96, Sweden.
Albertas DvirnasDepartment of Astronomy and Theoretical Physics, Lund University, Lund, 223 62, Sweden.
Tsegaye SewunetDepartment of Laboratory Medicine, Karolinska Institutet, Stockholm, 141 86, Sweden.
Sriram KkDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, 412 96, Sweden.ORCID http://orcid.org/0000-0002-4661-242X
Tobias AmbjörnssonDepartment of Astronomy and Theoretical Physics, Lund University, Lund, 223 62, Sweden.
Christian G GiskeDepartment of Laboratory Medicine, Karolinska Institutet, Stockholm, 141 86, Sweden.
Linus SandegrenDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, 751 23, Sweden.
Erik KristianssonDepartment of Mathematical Sciences, Chalmers University of Technology & University of Gothenburg, Gothenburg, 412 96, Sweden. erik.kristiansson@chalmers.se.
Fredrik WesterlundDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, 412 96, Sweden. fredrik.westerlund@chalmers.se.ORCID http://orcid.org/0000-0002-4767-4868
Chalmers University of Technology · SELund University · SEUppsala University · SEEricsson (Sweden) · SEFraunhofer Chalmers Research Centre for Industrial Mathematics · SEKarolinska Institutet · SEKarolinska University Hospital · SE

Funding

Vetenskapsrådet (Swedish Research Council) 2019-04150
6 · The paper itself

Abstract

backgroundIdentification of pathogens is crucial to efficiently treat and prevent bacterial infections. However, existing diagnostic techniques are slow or have a too low resolution for well-informed clinical decisions.

methodsIn this study, we have developed an optical DNA mapping-based method for strain-level bacterial typing and simultaneous plasmid characterisation. For the typing, different taxonomical resolutions were examined and cultivated pure Escherichia coli and Klebsiella pneumoniae samples were used for parameter optimization. Finally, the method was applied to mixed bacterial samples and uncultured urine samples from patients with urinary tract infections.

resultsWe demonstrate that optical DNA mapping of single DNA molecules can identify Escherichia coli and Klebsiella pneumoniae at the strain level directly from patient samples. At a taxonomic resolution corresponding to E. coli sequence type 131 and K. pneumoniae clonal complex 258 forming distinct groups, the average true positive prediction rates are 94% and 89%, respectively. The single-molecule aspect of the method enables us to identify multiple E. coli strains in polymicrobial samples. Furthermore, by targeting plasmid-borne antibiotic resistance genes with Cas9 restriction, we simultaneously identify the strain or subtype and characterize the corresponding plasmids.

conclusionThe optical DNA mapping method is accurate and directly applicable to polymicrobial and clinical samples without cultivation. Hence, it has the potential to rapidly provide comprehensive diagnostics information, thereby optimizing early antibiotic treatment and opening up for future precision medicine management.

Identifiers

PMID36823379
PMCPMC9950433
OpenAlexW4321597372

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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.