Evidence map›Paper›PMID 39639224›Full record

ArticleBMC genomics2024

Prevalence and virulence of Vibrio parahaemolyticus isolated from clinical and environmental samples in Huzhou, China.

Peng Zhang, Xiaofang Wu, Lei Ji, Wei Yan, Liping Chen, Zhonghao Lu, Deshun Xu, Yunfeng Zha, Dafang Xu, Fenfen Dong

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Peng ZhangHuzhou Center for Disease Control and Prevention, 999 Changxing Road, Huzhou, Zhejiang Province, 313000, People's Republic of China.
Xiaofang WuHuzhou Center for Disease Control and Prevention, 999 Changxing Road, Huzhou, Zhejiang Province, 313000, People's Republic of China.
Lei JiHuzhou Center for Disease Control and Prevention, 999 Changxing Road, Huzhou, Zhejiang Province, 313000, People's Republic of China.
Wei YanHuzhou Center for Disease Control and Prevention, 999 Changxing Road, Huzhou, Zhejiang Province, 313000, People's Republic of China.
Liping ChenHuzhou Center for Disease Control and Prevention, 999 Changxing Road, Huzhou, Zhejiang Province, 313000, People's Republic of China.
Zhonghao LuHuzhou Center for Disease Control and Prevention, 999 Changxing Road, Huzhou, Zhejiang Province, 313000, People's Republic of China.
Deshun XuHuzhou Center for Disease Control and Prevention, 999 Changxing Road, Huzhou, Zhejiang Province, 313000, People's Republic of China.
Yunfeng ZhaHuzhou Center for Disease Control and Prevention, 999 Changxing Road, Huzhou, Zhejiang Province, 313000, People's Republic of China.
Dafang XuThe First People's Hospital of Huzhou, No.158, Guangchang Hou Road, Huzhou, Zhejiang Province, 313000, People's Republic of China. lengyue19860426@163.com.
Fenfen DongHuzhou Center for Disease Control and Prevention, 999 Changxing Road, Huzhou, Zhejiang Province, 313000, People's Republic of China. dongfenf@mail.ustc.edu.cn.

Funding

Medical Science and Technology Projects of Zhejiang Province 2024KY1658
6 · The paper itself

Abstract

backgroundVibrio parahaemolyticus has emerged as the leading cause of seafood-associated infections worldwide. Previous studies have shown that V. parahaemolyticus can be detected in both environmental and clinical samples. However, the molecular characteristics of V. parahaemolyticus isolated from these sources remain unknown.

resultsThis study examined 128 strains of V. parahaemolyticus isolated from clinical and environmental samples collected between 2020 and 2023 in Huzhou, China. We identified 73 serotypes; O10:K4, O3:K6, and O4:KUT were the dominant serotypes among clinical isolates. We examined the proliferation and motility of major epidemic strains from environmental and clinical samples. Genetic diversity and evolution were assessed by average nucleotide identity (ANI), phylogenetic tree construction, and multilocus sequence typing (MLST). Furthermore, we identified 13 novel sequence types (STs) among the environmental isolates, indicating that V. parahaemolyticus strains are widely distributed and evolve rapidly in the environment in Huzhou, China. We found 206 virulence genes among these isolates, indicating that environmental isolates possess numerous virulence genes. Additionally, we detected 4 strains carrying the tdh or trh gene, which may increase their pathogenicity. The prediction results of antibiotic resistance genes shown that environmental isolates may carry up to 104 resistance genes, compared to 30 in clinical isolates.

conclusionsWe observed that the environmental serotypes of V. parahaemolyticus exhibit greater diversity compared to clinical isolates, which are predominantly concentrated in three major serotypes. Furthermore, a considerable genetic distance was found between most clinical and environmental isolates. Notably, some clinical isolates show a closer genetic proximity to environmental isolates. Additionally, the distribution of virulence genes, specifically T3SS and tdh, significantly differs among isolates from these two distinct sources. The prediction results for antibiotic resistance genes suggest that environmental isolates may harbor a broader spectrum of resistance genes. The findings of this study provide new insights into the phylogenetic relationships between V. parahaemolyticus strains from clinical and environmental sources, and they enhance the MLST database.

Indexed as

Multilocus Sequence TypingPhylogenyVibrio InfectionsVibrio parahaemolyticusChinaEnvironmental MicrobiologyGenetic VariationHumansPrevalenceVirulenceVirulence FactorsVirulence FactorsMotilityVibrio parahaemolyticusVirulence geneWhole-genome sequencing

Identifiers

PMID39639224
PMCPMC11622476

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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.