Evidence map›Paper›PMID 30629483›Full record

ArticleMicrobial genomics2018

Multi-step genomic dissection of a suspected intra-hospital Helicobacter cinaedi outbreak.

Yasuhiro Gotoh, Takako Taniguchi, Dai Yoshimura, Keisuke Katsura, Yuji Saeki, Yasutoshi Hirabara, Mayumi Fukuda, Ichiro Takajo, Junko Tomida, Yoshiaki Kawamura and 5 more

Abstract read
In one paragraph

Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Frontiers in genetics · 2023
    Article
  4. Microbial genomics · 2022
    Article
  5. Review
  6. Article
  7. Review
  8. Platanus_B: an accurate de novo assembler for bacterial genomes using an iterative error-removal process.DNA research : an international journal for rapid publication of reports on genes and genomes · 2020
    Article
  9. Genome Sequencing Verifies Relapsed Infection ofOpen forum infectious diseases · 2019
    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.

Yasuhiro Gotoh1​Department of Bacteriology, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan.
Takako Taniguchi3​Laboratory of Veterinary Public Health, Department of Veterinary Medical Science, Faculty of Agriculture, University of Miyazaki, Miyazaki, Japan.
Dai Yoshimura4​Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Tokyo, Japan.
Keisuke Katsura5​Frontier Science Research Center, University of Miyazaki, Miyazaki, Japan.
Yuji Saeki6​Center for Infection Control, University of Miyazaki Hospital, Miyazaki, Japan.
Yasutoshi Hirabara6​Center for Infection Control, University of Miyazaki Hospital, Miyazaki, Japan.
Mayumi Fukuda6​Center for Infection Control, University of Miyazaki Hospital, Miyazaki, Japan.
Ichiro Takajo6​Center for Infection Control, University of Miyazaki Hospital, Miyazaki, Japan.
Junko Tomida7​Department of Microbiology, School of Pharmacy, Aichi Gakuin University, Nagoya, Japan.
Yoshiaki Kawamura7​Department of Microbiology, School of Pharmacy, Aichi Gakuin University, Nagoya, Japan.
Yoshitoshi Ogura1​Department of Bacteriology, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan.
Takehiko Itoh4​Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Tokyo, Japan.
Naoaki Misawa3​Laboratory of Veterinary Public Health, Department of Veterinary Medical Science, Faculty of Agriculture, University of Miyazaki, Miyazaki, Japan.
Akihiko Okayama6​Center for Infection Control, University of Miyazaki Hospital, Miyazaki, Japan.
Tetsuya Hayashi1​Department of Bacteriology, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Helicobacter cinaedi is an emerging pathogen causing bacteraemia and cellulitis. Nosocomial transmission of this microbe has been described, but detailed molecular-epidemiological analyses have not been performed. Here, we describe the results of a multi-step genome-wide phylogenetic analysis of a suspected intra-hospital outbreak of H. cinaedi that occurred in a hospital in Japan. The outbreak was recognized by the infectious control team (ICT) of the hospital as a sudden increase in H. cinaedi bacteraemia. ICT defined this outbreak case based on 16S rRNA sequence data and epidemiological information, but were unable to determine the source and route of the infections. We therefore re-investigated this case using whole-genome sequencing (WGS). We first performed a species-wide analysis using publicly available genome sequences to understand the level of genomic diversity of this under-studied species. The clusters identified were then separately analysed using the genome sequence of a representative strain in each cluster as a reference. These analyses provided a high-level phylogenetic resolution of each cluster, identified a confident set of outbreak isolates, and discriminated them from other closely related but distinct clones, which were locally circulating and invaded the hospital during the same period. By considering the epidemiological data, possible strain transmission chains were inferred, which highlighted the role of asymptomatic carriers or environmental contamination. The emergence of a subclone with increased resistance to fluoroquinolones in the outbreak was also recognized. Our results demonstrate the impact of the use of a closely related genome as a reference to maximize the power of WGS.

Indexed as

BacteremiaDisease OutbreaksGenomicsHelicobacter InfectionsPhylogenyFemaleHelicobacterHumansJapanMaleWhole Genome Sequencingantimicrobial resistanceasymptomatic carrierHelicobacter cinaediintra-hospital outbreakmulti-step phylogenetic analysis

Identifiers

PMID30629483
PMCPMC6412056

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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.