Evidence map›Paper›PMID 42159648›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2026

Molecular epidemiology and antimicrobial resistance of Vibrio parahaemolyticus isolates from aquatic products in the Southern Fujian coast, China.

Qiao-Hua Zheng, Yang Chen, Yu-Fang Tian, Turmidzi Fath, Jun-Chao Zheng, Dan-Feng Zhang, Yi-Hong Wang, Qing-Sen Chen, Feng-Xia Li, Xiu-Min Chen and 1 more

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Qiao-Hua ZhengThe Engineering Technological Center of Mushroom Industry, Minnan Normal University, Zhangzhou, Fujian, 363000, China.
Yang ChenThe Engineering Technological Center of Mushroom Industry, Minnan Normal University, Zhangzhou, Fujian, 363000, China.
Yu-Fang TianSchool of Biological Science and Biotechnology, Minnan Normal University, Zhangzhou, Fujian, 363000, China.
Turmidzi FathThe Engineering Technological Center of Mushroom Industry, Minnan Normal University, Zhangzhou, Fujian, 363000, China.
Jun-Chao ZhengComprehensive Technical Service Center, Zhangzhou Customs, Zhangzhou, 363000, China.
Dan-Feng ZhangThe Engineering Technological Center of Mushroom Industry, Minnan Normal University, Zhangzhou, Fujian, 363000, China.
Yi-Hong WangZhangzhou Aquatic Technology Promotion Station, Zhangzhou, 363000, China.
Qing-Sen ChenSchool of Biological Science and Biotechnology, Minnan Normal University, Zhangzhou, Fujian, 363000, China.
Feng-Xia LiSchool of Biological Science and Biotechnology, Minnan Normal University, Zhangzhou, Fujian, 363000, China.
Xiu-Min ChenXiangcheng Quality Measurement Inspection and Testing Institute, Zhangzhou, 363000, China.
Yuan-Qing HuThe Engineering Technological Center of Mushroom Industry, Minnan Normal University, Zhangzhou, Fujian, 363000, China. yuanqing2021@foxmail.com.

Funding

Natural Science Foundation of Fujian Province 2023N0015Natural Science Foundation of Fujian Province 2024J01812Natural Science Foundation of Fujian Province 2024S0036Natural Science Foundation of Fujian Province 2025J01978Natural Science Foundation of Zhangzhou of China ZZ2024J39Zhangzhou Natural Science Foundation Project ZZ2024J44
6 · The paper itself

Abstract

Vibrio parahaemolyticus, a globally distributed bacterium in estuarine and coastal waters, poses a significant threat to seafood safety. The spread of antimicrobial resistance (AMR) in V. parahaemolyticus transcends phylogenetic, geographic, and ecological boundaries, raising concerns about its impact on marine ecosystems. This study investigated the prevalence and AMR profiles of V. parahaemolyticus in seafood in retail markets in Zhangzhou City, China. A total of 288 aquatic samples were collected aseptically from July 2023 to June 2024. Sixty-one V. parahaemolyticus isolates were identified using standard methods (cultural, biochemical, PCR) and characterized for virulence genes, AMR genes, antibiotic susceptibility, and molecular type. Multi-drug resistance (MDR) was then analyzed. The overall isolation rate of V. parahaemolyticus was 21% (61/288). A significant proportion of isolates exhibited high resistance to minocycline (97%), penicillin (93%), and cefazolin (90%). Lower resistance rates were observed for piperacillin (3%), ceftriaxone (5%), ceftazidime (7%), and cefoperazone (7%). Multi-antimicrobial resistance (MAR) indices revealed that 54% of isolates were resistant to more than ten antimicrobials. ERIC-PCR and RAPD typing grouped the isolates into four clusters each, with the majority (86.89% and 88.13%, respectively) belonging to Group I, indicating a high degree of genetic similarity among many isolates. The high prevalence of MDR V. parahaemolyticus in retail seafood suggests excessive antimicrobial use in aquaculture practices within this region. Effective antimicrobial stewardship programs, coupled with comprehensive surveillance, are urgently needed to mitigate the development and spread of AMR in V. parahaemolyticus and safeguard both human health and the health of marine ecosystems from pollution linked to aquaculture practices.

Indexed as

Anti-Bacterial AgentsDrug Resistance, Multiple, BacterialSeafoodVibrio InfectionsVibrio parahaemolyticusAnimalsChinaMicrobial Sensitivity TestsMolecular EpidemiologyPhylogenyVirulence FactorsAnti-Bacterial AgentsVirulence FactorsMolecular typingMultidrug resistanceSeafood safetyVibrio parahaemolyticus

Identifiers

PMID42159648
PMCPMC13191009

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Registered trials

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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.