Evidence map›Paper›PMID 25232158›Full record

ArticleJournal of clinical microbiology2014

Multilocus sequence typing (MLST) and whole-genome MLST of Campylobacter jejuni isolates from human infections in three districts during a seasonal peak in Finland.

Sara M Kovanen, Rauni I Kivistö, Mirko Rossi, Thomas Schott, Ulla-Maija Kärkkäinen, Tamara Tuuminen, Jaakko Uksila, Hilpi Rautelin, Marja-Liisa Hänninen

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Clinical impact of major pathogenic genotypes of Pseudomonas aeruginosa associated with refractory chronic suppurative otitis media.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
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  4. Detection and Characterisation of EndosymbiontTropical life sciences research · 2023
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  5. Article
  6. Environmental dynamics ofMicrobial genomics · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Veterinary sciences · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Population Biology and Comparative Genomics of Campylobacter Species.Current topics in microbiology and immunology · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

9 authors.

Sara M KovanenDepartment of Food Hygiene and Environmental Health, University of Helsinki, Helsinki, Finland.
Rauni I KivistöDepartment of Food Hygiene and Environmental Health, University of Helsinki, Helsinki, Finland.
Mirko RossiDepartment of Food Hygiene and Environmental Health, University of Helsinki, Helsinki, Finland.
Thomas SchottBiology Oceanography, Leibniz Institute for Baltic Sea Research, Rostock-Warnemünde, Germany.
Ulla-Maija KärkkäinenEastern Finland Laboratory Centre Joint Authority Enterprise (ISLAB), Kuopio District Laboratory, Kuopio, Finland.
Tamara TuuminenEastern Finland Laboratory Centre Joint Authority Enterprise (ISLAB), Mikkeli District Laboratory, Mikkeli, Finland University of Helsinki, Department of Bacteriology and Immunology, Helsinki, Finland.
Jaakko UksilaKeslab Laboratory, Department of Clinical Microbiology, Central Finland Health Care District, Jyväskylä, Finland Fimlab Laboratories, Ltd., Jyväskylä, Finland.
Hilpi RautelinDepartment of Medical Sciences, Clinical Microbiology, Uppsala University, Uppsala, Sweden Department of Bacteriology and Immunology, Haartman Institute, University of Helsinki, Helsinki, Finland.
Marja-Liisa HänninenDepartment of Food Hygiene and Environmental Health, University of Helsinki, Helsinki, Finland marja-liisa.hanninen@helsinki.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A total of 95 human Campylobacter jejuni isolates acquired from domestic infections and collected from three districts in Finland during the seasonal peak (June to September) in 2012 were analyzed by PCR-based multilocus sequence typing (MLST) and by whole-genome sequencing (WGS). Four predominant sequence types (STs) were detected among the isolates: ST-45 (21%) and ST-230 (14%, ST-45 clonal complex [CC]), ST-267 (21%, ST-283 CC), and ST-677 (19%, ST-677 CC). In districts 1 and 3, most of the infections occurred from early July to the middle of August, with a peak at weeks 29 to 31, but in district 2, the infections were dispersed more evenly throughout 3 months (June to August). WGS data were used for further whole-genome MLST (wgMLST) analyses of the isolates representing the four common STs. Shared loci of the isolates within each ST were analyzed as distance matrices of allelic profiles by the neighbor-net algorithm. The highest allelic variations (>400 different alleles) were detected between different clusters of ST-45 isolates (1,121 shared loci), while ST-230 (1,264 shared loci), ST-677 (1,169 shared loci), and ST-267 isolates (1,217 shared loci) were less diverse with the clusters differing by <40 alleles. Closely related isolates showing no allelic variation (subclusters) were detected among all four major STs. In some cases, they originated from different districts, suggesting that isolates can be epidemiologically connected and may have the same infection source despite being originally identified as sporadic infections.

Indexed as

Molecular TypingMultilocus Sequence TypingAgedAged, 80 and overCampylobacter InfectionsCampylobacter jejuniChildChild, PreschoolCluster AnalysisDNA, BacterialFemaleFinlandGenetic VariationGenome, BacterialGenotypeHumansDNA, Bacterial

Identifiers

PMID25232158
PMCPMC4313278

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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.