Evidence map›Paper›PMID 40622594›Full record

ArticleApplied microbiology and biotechnology2025

Prevalence and genomic insights into Yersinia enterocolitica in Southeastern China (2008-2022).

Lei Fang, Shuxuan Li, Jie Rong, Shengkai Li, Yuwen Zhang, Huihuang Lou, Zhongbi Xie, Yuqin Hu, Yuejin Wu, Airong Xie and 1 more

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Insights into the Genetic Diversity ofPathogens (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Prevalence and Geographical Distribution of FoodborneAnimals : an open access journal from MDPI · 2026
    Review
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.

Lei FangDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Shuxuan LiNanfang College Guangzhou, Guangzhou, China.
Jie RongLotabiome Biotechnology Inc, Suzhou, China.
Shengkai LiKey Laboratory of Alkene-carbon Fibres-based Technology & Application for Detection of Major Infectious Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, China.
Yuwen ZhangSchool of Public Health, Hangzhou Medical College, Hangzhou, China.
Huihuang LouWenzhou Center for Disease Control and Prevention, Wenzhou, China.
Zhongbi XieWenzhou Center for Disease Control and Prevention, Wenzhou, China.
Yuqin HuWenzhou Center for Disease Control and Prevention, Wenzhou, China.
Yuejin WuDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Airong XieWenzhou Center for Disease Control and Prevention, Wenzhou, China. sharonxar@aliyun.com.
Yi LiWenzhou Center for Disease Control and Prevention, Wenzhou, China. zjwzliyi@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Yersinia enterocolitica is a significant foodborne pathogen causing gastrointestinal illnesses worldwide. This study investigates the prevalence and genomic characteristics of Y. enterocolitica to assess potential health risks in southeastern China, a region lacking mandatory yersiniosis monitoring. From 2939 samples collected between 2008 and 2022, 105 isolates were recovered. The highest prevalence was found in rodents (8.1%), followed by retail meats (7.1%), other foods (3.7%), and human clinical cases (0.8%). In addition to meats and rodents, ready-to-eat salads, seafood, and frozen food products were identified as potential transmission vehicles. Various bioserotypes and sequence types (STs) was identified, including twelve previously unreported STs. Biotype 1A, exhibiting greater genetic diversity than more pathogenic biotypes (3 and 4), was frequently found in human clinical cases. Phylogenetic analysis revealed two main lineages, with isolates primarily clustered by biotype and pathogenic traits. Antimicrobial susceptibility testing revealed 46.7% (49/105) of isolates were multidrug resistant (MDR), with frequent resistance to polymyxin B (100%), azithromycin (50.5%), and sulfanilamide isoxazole (31.4%). These findings highlight the ecological complexity and diversity of Y. enterocolitica, especially non-pathogenic biotype 1A strains, and underscore the need for enhanced food safety and antimicrobial stewardship to mitigate the public health impact of Y. enterocolitica infections. KEY POINTS: Biotype 1 A strains exhibited greater genetic diversity than pathogenic biotypes. Pathogenic strains were mainly associated with lineage HC1490_2, not HC1490_10. Higher MDR levels were observed in biotype 3 and 4 strains.

Indexed as

Yersinia enterocoliticaYersinia InfectionsAnimalsAnti-Bacterial AgentsChinaDrug Resistance, Multiple, BacterialFoodborne DiseasesFood MicrobiologyGenetic VariationGenome, BacterialGenomicsHumansMeatMicrobial Sensitivity TestsPhylogenyPrevalenceAnti-Bacterial AgentsBiotype 1 AFoodborne transmissionGenomic epidemiologyYersinia enterocoliticaZoonotic infection

Identifiers

PMID40622594
PMCPMC12234613

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.