Evidence map›Paper›PMID 37386463›Full record

ArticleAnnals of clinical microbiology and antimicrobials2023

Abundant diversity of accessory genetic elements and associated antimicrobial resistance genes in pseudomonas aeruginosa isolates from a single Chinese hospital.

Xiaofei Mu, Xinyue Li, Zhe Yin, Ying Jing, Fangzhou Chen, Huixia Gao, Zhi Zhang, Yueyang Tian, Huiqian Guo, Xiuhui Lu and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Genetic Characteristics of Novel IncInfection and drug resistance · 2024
    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.

Xiaofei Mu *Department of Clinical Laboratory Medicine, Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Xinyue Li *State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China.
Zhe YinState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China.
Ying JingState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China.
Fangzhou ChenState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China.
Huixia GaoDepartment of Laboratory Medicine, the Fifth Hospital of Shijiazhuang, Hebei Medical University, No. 42 Tanan Road, Yuhua District, Shijiazhuang, Heibei, 050021, China.
Zhi ZhangDepartment of Laboratory Medicine, the Fifth Hospital of Shijiazhuang, Hebei Medical University, No. 42 Tanan Road, Yuhua District, Shijiazhuang, Heibei, 050021, China.
Yueyang TianDepartment of Laboratory Medicine, the Fifth Hospital of Shijiazhuang, Hebei Medical University, No. 42 Tanan Road, Yuhua District, Shijiazhuang, Heibei, 050021, China.
Huiqian GuoState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China.
Xiuhui LuState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China.
Jiaqi HeState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China.
Yali ZhengState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China.
Dongsheng ZhouState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China.
Peng WangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, No. 20, Dongdajie, Fengtai, Beijing, 100071, China. pengwang.bio@outlook.com.
Erhei DaiDepartment of Clinical Laboratory Medicine, Hebei Medical University, Shijiazhuang, Hebei, 050011, China. daieh2008@126.com.

Funding

the Key Project Plan of Medical Science Research in Hebei Province 20181072the National Key Research and Development Program of China no: 2022YFC2303900
6 · The paper itself

Abstract

objectivesPseudomonas aeruginosa has intrinsic antibiotic resistance and the strong ability to acquire additional resistance genes. However, a limited number of investigations provide detailed modular structure dissection and evolutionary analysis of accessory genetic elements (AGEs) and associated resistance genes (ARGs) in P. aeruginosa isolates. The objective of this study is to reveal the prevalence and transmission characteristics of ARGs by epidemiological investigation and bioinformatics analysis of AGEs of P. aeruginosa isolates taken from a Chinese hospital.

methodsDraft-genome sequencing was conducted for P. aeruginosa clinical isolates (n = 48) collected from a single Chinese hospital between 2019 and 2021. The clones of P. aeruginosa isolates, type 3 secretion system (T3SS)-related virulotypes, and the resistance spectrum were identified using multilocus sequence typing (MLST), polymerase chain reaction (PCR), and antimicrobial susceptibility tests. In addition, 17 of the 48 isolates were fully sequenced. An extensive modular structure dissection and genetic comparison was applied to AGEs of the 17 sequenced P. aeruginosa isolates.

resultsFrom the draft-genome sequencing, 13 STs were identified, showing high genetic diversity. BLAST search and PCR detection of T3SS genes (exoT, exoY, exoS, and exoU) revealed that the exoS+/exoU- virulotype dominated. At least 69 kinds of acquired ARGs, involved in resistance to 10 different categories of antimicrobials, were identified in the 48 P. aeruginosa isolates. Detailed genetic dissection and sequence comparisons were applied to 25 AGEs from the 17 isolates, together with five additional prototype AGEs from GenBank. These 30 AGEs were classified into five groups -- integrative and conjugative elements (ICEs), unit transposons, Inc

conclusionThis study provides a broad-scale and deeper genomics understanding of P. aeruginosa isolates taken from a single Chinese hospital. The isolates collected are characterized by high genetic diversity, high virulence, and multiple drug resistance. The AGEs in P. aeruginosa chromosomes and plasmids, as important genetic platforms for the spread of ARGs, contribute to enhancing the adaptability of P. aeruginosa in hospital settings.

Indexed as

Anti-Infective AgentsPseudomonas aeruginosaAnti-Bacterial AgentsDrug Resistance, BacterialGlycation End Products, AdvancedHumansMultilocus Sequence TypingAnti-Bacterial AgentsAnti-Infective AgentsGlycation End Products, AdvancedAccessory genetic elementsAntimicrobial resistanceGenome sequencingMLSTPseudomonas aeruginosaT3SS-related virulotypes

Identifiers

PMID37386463
PMCPMC10311859

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