Evidence map›Paper›PMID 37847452›Full record

ArticleAntonie van Leeuwenhoek2023

Prevalence of the virulence genes and their correlation with carbapenem resistance amongst the Pseudomonas aeruginosa strains isolated from a tertiary hospital in China.

Xiaohuan Wang, Kaijing Gao, Cuicui Chen, Cuiping Zhang, Chunmei Zhou, Yuanlin Song, Wei Guo

Open access · hybridAbstract read
In one paragraph

Article in Antonie van Leeuwenhoek, 2023. 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
0.5field-weighted citation impact, top 44% of its field
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, 5 citations in OpenAlex.

  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

7 authors at 4 institutions in 1 country.

Xiaohuan Wang *Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, 111 Yi Xue Yuan Road, Shanghai, 200032, People's Republic of China.
Kaijing Gao *Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, People's Republic of China.
Cuicui ChenDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, People's Republic of China.
Cuiping ZhangDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, People's Republic of China.
Chunmei ZhouDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, 111 Yi Xue Yuan Road, Shanghai, 200032, People's Republic of China.
Yuanlin SongDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, People's Republic of China. song.yuanlin@zs-hospital.sh.cn.
Wei GuoDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, 111 Yi Xue Yuan Road, Shanghai, 200032, People's Republic of China. guo.wei@zs-hospital.sh.cn.
Fudan University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNZhongshan Hospital · CNSun Yat-sen University · CN

Funding

National Natural Science Foundation of China 82130001Science and Technology Commission of Shanghai Municipality 20Z11901000, 20DZ2261200 and 20XD1401200Shanghai Municipal Health Commission and Shanghai Municipal Administrator of Traditional Chinese Medicine ZY(2021-2023)-0207-01Shanghai Municipal Key Clinical Specialty shslczdzk02201
6 · The paper itself

Abstract

Pseudomonas aeruginosa is one of the top-listed pathogens in nosocomial infection. It is notorious for its complicated virulence system and rapid adaptability to drugs or antimicrobials. In this study, we aimed to evaluate the prevalence of sixteen virulence genes in four groups including type III secretion system, biofilm formation, extracellular toxin biosynthesis and enzymes amongst 209 clinical Pseudomonas aeruginosa strains. We investigated the different distribution patterns of virulence genotypes based on carbapenem-resistant phenotype or the carriage of carbapenemase genes. The detection rate of each virulence gene varied greatly. phzM and plcN were detected in all collected strains, while pilB and exoU were only carried by a small portion of isolates (6.7% and 16.3%). Additionally, the number of genotypes observed in each group of examined virulence genes ranged from 4 to 8. Only the distribution of genotypes of type III secretion system showed statistical difference between carbapenem-mediated or carbapenem-resistant and carbapenem-sensitive strains. The virulence genotype of Pseudomonas aeruginosa was possibly interrelated to its resistance mechanism. Further research suggested that one particular TTSS genotype exhibited higher ratio in carbapenemase-producing strains and exoS was less frequently detected in CRPA strains carrying carbapenemase gene. Generally, the significant genetic diversity of virulence genes amongst Pseudomonas aeruginosa strains was highlighted in this study. Specific TTSS genotypes were associated with carbapenem-resistance. In particular, certain incompatibility might exist between exoS and carbapenemase genes, which provided valuable information for further understanding the relationship between carbapenem resistance and virulence.

Indexed as

Anti-Bacterial AgentsPseudomonas InfectionsBacterial Proteinsbeta-LactamasesCarbapenemsHumansMicrobial Sensitivity TestsPrevalencePseudomonas aeruginosaTertiary Care CentersType III Secretion SystemsVirulenceAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCarbapenemsType III Secretion SystemsCarbapenemexoSGenotypePseudomonas aeruginosaType III secretion systemVirulence

Identifiers

PMID37847452
PMCPMC10645663
OpenAlexW4387691741

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.