Evidence map›Paper›PMID 40703230›Full record

ArticleFrontiers in microbiology2025

High genome diversity of

Yitong Wang, Si Qin, Hongxiong Guo

Abstract read
In one paragraph

Article in Frontiers in microbiology, 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

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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. 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

3 authors.

Yitong Wang *School of Public Health, Nanjing Medical University, Nanjing, China.
Si Qin *Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Hongxiong GuoSchool of Public Health, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Methods: From February 2023 to February 2024, 117 KP isolates were collected from a Chinese traditional medicine hospital in Jiangsu province, China. Antimicrobial susceptibility testing and whole-genome sequencing were performed on all isolates. Then, capsular serotype, multi-locus sequence typing, virulence genes, and resistance genes were identified using Prokka and Kleborate software tools. The hypermucoviscosity phenotype was detected using the string test. Antimicrobial susceptibility was tested following the guidelines by the Clinical and Laboratory Standards Institute, using a commercially prepared and dehydrated panel. A chi-squared test was performed to assess the differences in virulence gene profiles between hypermucoviscous and non-hypermucoviscous isolates. Results: A high resistance rate to ampicillin (98.7%) and doxycycline (41.0%) was observed in the KP strains. The resistance rate to cephalosporins ranged from 10 to 20%, and 23.7% of the strains were multidrug-resistant (MDR). A total of 66 resistance genes from 13 categories were identified, including carbapenem-resistant genes in four KP strains. The most common capsular serotypes were K1 and K2 (24.0% of the isolates). O1 was the dominant O antigen type (52.1%). The KP strains were classified into 62 sequence types (STs), with ST23, ST29, ST412, and ST111 being the most prevalent (each accounting for >5.0% of the isolates). The carriage rates of the virulence genes aerobactin, yersiniabactin, colibactin, salmochelin, RmpADC, and RmpA2 were 44.4, 47.9, 11.1, 54.7, 55.6, and 31.6%, respectively. All ST23 KP strains carried virulence plasmids other than RmpADC. Hypermucoviscous (HM) KP was observed in 23.4% of the isolates. HM KP strains carried a higher number of virulence genes compared to the non-HM KP strains. Conclusion: Although no single dominant (KP) clone, serotype, or sequence type was identified among the isolated KP strains from this hospital, the overall resistance rates remained relatively low. However, the relatively prevalent ST23 KP strains, which carry multiple virulence genes, are a concern due to their potential to acquire carbapenem-resistant genes.

Indexed as

antimicrobialdrug resistance phenotypehyperviscosity phenotypeKlebsiella pneumoniaevirulence genes

Identifiers

PMID40703230
PMCPMC12283684

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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.