Evidence map›Paper›PMID 40227370›Full record

ArticleInfection2025

Emergence and characterization of mixed Candida auris strain infections in China.

Han Du, Yanfeng Huang, Penghao Guo, Weihong Liang, Tianhong Zheng, Zhangyue Guan, Jian Bing, Haiqing Chu, Guanghua Huang

Abstract read
In one paragraph

Article in Infection, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. bioRxiv : the preprint server for biology · 2026
    Article
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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

9 authors.

Han Du *Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Yanfeng Huang *Shanghai Institute of Infectious Disease and Biosecurity, Department of Infectious Diseases, State Key Laboratory of Genetic Engineering, School of Life Sciences, Huashan Hospital, Fudan University, Shanghai, 200438, China.
Penghao Guo *Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Weihong Liang *Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Tianhong ZhengShanghai Institute of Infectious Disease and Biosecurity, Department of Infectious Diseases, State Key Laboratory of Genetic Engineering, School of Life Sciences, Huashan Hospital, Fudan University, Shanghai, 200438, China.
Zhangyue GuanShanghai Institute of Infectious Disease and Biosecurity, Department of Infectious Diseases, State Key Laboratory of Genetic Engineering, School of Life Sciences, Huashan Hospital, Fudan University, Shanghai, 200438, China.
Jian BingShanghai Institute of Infectious Disease and Biosecurity, Department of Infectious Diseases, State Key Laboratory of Genetic Engineering, School of Life Sciences, Huashan Hospital, Fudan University, Shanghai, 200438, China. bingj@fudan.edu.cn.
Haiqing ChuShanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China. chu_haiqing@126.com.
Guanghua HuangShanghai Institute of Infectious Disease and Biosecurity, Department of Infectious Diseases, State Key Laboratory of Genetic Engineering, School of Life Sciences, Huashan Hospital, Fudan University, Shanghai, 200438, China. huanggh@fudan.edu.cn.

Funding

National Key Research and Development Program of China 2022YFC2303000National Natural Science Foundation of China 32170193National Natural Science Foundation of China 82172290National Natural Science Foundation of China 82272359Shanghai Science and Technology Innovation Action Plan 2023 "Basic Research Project" 23JC1404200
6 · The paper itself

Abstract

purposeThe multidrug-resistant fungal pathogen Candida auris poses an increasing global health threat due to its high transmissibility and persistence in healthcare environments. We aimed to explore the potential cases of mixed C. auris-strain colonizations or infections in China and to investigate the genetic and biological diversity of the associated isolates.

methodsC. auris isolates from 5 colonization or infection cases were distinguished by colony morphology and verified by D1/D2-ITS alignment. Phylogenetic and genomic diversity analysis of all isolates were conducted using whole genome sequences. Comparative biological analysis of all isolates, including cellular and colony morphology, antifungal susceptibility, biofilm formation, SAP activity, and both in vitro and in vivo survival capabilities were performed.

resultsFive cases of potential mixed C. auris-strain colonization or infections in China were identified. Comparative genomic analysis revealed these cases involved strains from two distinct genetic clades (I and III) or strains from the same clade but with genetic alterations. Comparative biological analysis demonstrated the strains from mixed colonization or infections exhibit differences in several key aspects, including colony morphology, biofilm formation, SAP activity, and both in vitro and in vivo survival capabilities.

conclusionComparative analyses revealed notable differences in biofilm formation, environmental survival, and secretion of virulence factors between the co-colonizing or co-infecting strains of C. auris. These biological and genetic disparities may present significant challenges for the diagnosis and treatment of C. auris infections, as strains with different genetic backgrounds may exhibit varying abilities to colonize host or environmental niches.

Indexed as

CandidaCandida aurisCandidiasisCoinfectionAnimalsAntifungal AgentsBiofilmsChinaFemaleGenetic VariationHumansMaleMicrobial Sensitivity TestsMiddle AgedPhylogenyAntifungal AgentsAntifungal resistanceBiofilmCandida aurisEmerging fungal pathogensMixed strain infectionsVirulence

Identifiers

PMID40227370
PMCPMC12460497

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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.