Evidence map›Paper›PMID 19617388›Full record

ArticleApplied and environmental microbiology2009

Identification of Yersinia enterocolitica at the species and subspecies levels by Fourier transform infrared spectroscopy.

Andrea Elisabeth Kuhm, Daniel Suter, Richard Felleisen, Jörg Rau

Abstract readValidation Study
In one paragraph

Article in Applied and environmental microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Identification ofMicroorganisms · 2024
    Article
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  4. Review
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  6. Article
  7. Fourier transform infrared spectroscopy: unlocking fundamentals and prospects for bacterial strain typing.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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  15. Article
  16. Detection of Yersinia enterocolitica in food: an overview.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2015
    Review
  17. Article
  18. Article
  19. Article
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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.

Andrea Elisabeth KuhmChemisches und Veterinäruntersuchungsamt Stuttgart, Schaflandstr. 3/2, 70736 Fellbach, Germany.
Daniel Suter
Richard Felleisen
Jörg Rau

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Yersinia enterocolitica and other Yersinia species, such as Y. pseudotuberculosis, Y. bercovieri, and Y. intermedia, were differentiated using Fourier transform infrared spectroscopy (FT-IR) combined with artificial neural network analysis. A set of well defined Yersinia strains from Switzerland and Germany was used to create a method for FT-IR-based differentiation of Yersinia isolates at the species level. The isolates of Y. enterocolitica were also differentiated by FT-IR into the main biotypes (biotypes 1A, 2, and 4) and serotypes (serotypes O:3, O:5, O:9, and "non-O:3, O:5, and O:9"). For external validation of the constructed methods, independently obtained isolates of different Yersinia species were used. A total of 79.9% of Y. enterocolitica sensu stricto isolates were identified correctly at the species level. The FT-IR analysis allowed the separation of all Y. bercovieri, Y. intermedia, and Y. rohdei strains from Y. enterocolitica, which could not be differentiated by the API 20E test system. The probability for correct biotype identification of Y. enterocolitica isolates was 98.3% (41 externally validated strains). For correct serotype identification, the probability was 92.5% (42 externally validated strains). In addition, the presence or absence of the ail gene, one of the main pathogenicity markers, was demonstrated using FT-IR. The probability for correct identification of isolates concerning the ail gene was 98.5% (51 externally validated strains). This indicates that it is possible to obtain information about genus, species, and in the case of Y. enterocolitica also subspecies type with a single measurement. Furthermore, this is the first example of the identification of specific pathogenicity using FT-IR.

Indexed as

Bacterial ProteinsBacterial Typing TechniquesBacteriological TechniquesSpectroscopy, Fourier Transform InfraredVirulence FactorsYersinia enterocoliticaBacterial ProteinsVirulence Factors

Identifiers

PMID19617388
PMCPMC2747871

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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.