Evidence map›Paper›PMID 40336530›Full record

ArticleJAC-antimicrobial resistance2025

Tracking Antimicrobial Resistant Organisms Timely: a workflow validation study for successive core-genome SNP-based nosocomial transmission analysis.

Kotaro Aoki, Kohji Komori, Tetsuo Yamaguchi, Sohei Harada, Mayumi Tsukada, Hinako Murakami, Kazuhiro Tateda

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Species identification and genotyping ofMicrobiology spectrum · 2026
    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

7 authors.

Kotaro AokiDepartment of Microbiology and Infectious Diseases, Toho University School of Medicine, Tokyo, Japan.
Kohji KomoriDivision of Collaborative Regional Infection Control, Department of Community Well-being, Toho University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9659-3186
Tetsuo YamaguchiDepartment of Microbiology and Infectious Diseases, Toho University School of Medicine, Tokyo, Japan.
Sohei HaradaDepartment of Microbiology and Infectious Diseases, Toho University School of Medicine, Tokyo, Japan.
Mayumi TsukadaDepartment of Infection Prevention and Control, Toho University Omori Medical Center, Tokyo, Japan.
Hinako MurakamiDepartment of Infection Prevention and Control, Toho University Omori Medical Center, Tokyo, Japan.
Kazuhiro TatedaDepartment of Microbiology and Infectious Diseases, Toho University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Effective infection prevention and control (IPC) interventions in hospitals require timely information to determine the potential transmission of antimicrobial-resistant (AMR) organisms. We proposed and developed a successive core-genome SNP (cgSNP)-based phylogenetic analysis workflow, 'Tracking Antimicrobial Resistant Organisms Timely' (TAROT), using the Oxford Nanopore Technologies (ONT) sequencer for MRSA, and compared the results with those obtained using the Illumina sequencer. Methods: We have developed a TAROT workflow for successive phylogenetic analysis using ONT data. We sequenced 34 MRSA strains isolated from Toho University Omori Medical Center using MinION (ONT) and MiSeq (Illumina). Each strain's ONT data were inputted into TAROT (TAROT-ONT), and successive cgSNP-based phylogenetic analyses were conducted. Illumina data were processed with a batched cgSNP-based phylogenetic analysis. Assembly-based analysis identified AMR genes, AMR mutations and virulence genes. Results: MinION generated an average sequence depth of 262× for the ST8 reference genome within 3 h. TAROT-ONT successively generated 11 phylogenetic trees for 14 ST8 strains, 7 trees for 10 ST1 strains and 2 trees for 5 ST5 strains. Highly suspected transmission pairs (pairwise cgSNP< 5) were detected in trees #6 through #11 for ST8, trees #3, #5 and #7 for ST1, and tree #2 for ST5. Differences in pairwise cgSNP value between TAROT-ONT and Illumina ranged from zero to two within pairs with fewer than 20 cgSNPs using Illumina. TAROT-ONT bioinformatic analysis for each strain required 5-42 min. The identification of AMR genes, mutations and virulence genes showed high concordance between ONT and Illumina. Conclusions: TAROT-ONT can facilitate effective IPC intervention for MRSA nosocomial transmissions by providing timely feedback through successive phylogenetic analyses based on cgSNPs.

Identifiers

PMID40336530
PMCPMC12056608

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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.