Evidence map›Paper›PMID 41761064›Full record

ArticleBMC microbiology2026

Genomic perspectives on the global dissemination of Elizabethkingia anophelis: unveiling inherent multidrug resistance and virulence determinants.

Shaohua Hu, Xiaohua Meng, Hao Xu, Shujun Ni, Yonghong Xiao, Beiwen Zheng

Abstract read
In one paragraph

Article in BMC microbiology, 2026. 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
–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

1 citing paper in PubMed.

  1. Case Report: A neonatal case ofFrontiers in pediatrics · 2026
    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

6 authors.

Shaohua Hu *State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiaohua Meng *State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hao XuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shujun NiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yonghong XiaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. xiaoyonghong@zju.edu.cn.
Beiwen ZhengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. zhengbw@zju.edu.cn.

Funding

CAMS Innovation Fund for Medical Sciences 2019-I2M-5-045the Fundamental Research Funds for the Central Universities 2022ZFJH003the Medical and Health Research Project of Zhejiang Province No. 2024KY948the National Natural Science Foundation of China No. 82072314the National Natural Science Foundation of China No. 82302589the Zhejiang Provincial Natural Science Foundation of China No. LQ21H190002
6 · The paper itself

Abstract

backgroundElizabethkingia anophelis has emerged as a formidable pathogen responsible for severe, life-threatening infections in immunocompromised populations. However, the genetic underpinnings of its virulence and antimicrobial resistance remain poorly characterized. Leveraging our previously assembled collection of 197 E. anophelis isolates with complete genome sequences, we performed an exhaustive, large-scale comparative analysis across global datasets to systematically map resistance determinants and virulence factors. Additionally, we constructed an integrated coexpression network to elucidate genotype-phenotype correlations in antibiotic resistance patterns.

resultsThe distribution of virulence-associated genes displays moderate phylogenetic specificity, exhibiting constrained variation within established primary clades. Importantly, virulence gene profiles demonstrate little discernible association with specimen source, sample category, or geographic origin. Although diverse antimicrobial resistance genotypes were detected, these exhibited negligible lineage specificity with minimal differentiation among core phylogenetic clusters. Coexpression network analysis suggests that E. anophelis resistance to cephalosporins, carbapenems, and aztreonam primarily arises from the constitutive expression of chromosomally encoded resistance determinants. In contrast, these chromosomally encoded resistance mechanisms appear to exert either negligible or clinically insignificant effects on susceptibility patterns for the remaining fourteen tested antimicrobial agents.

conclusionsThis study demonstrates that the multidrug resistance and pathogenic potential of E. anophelis are predominantly intrinsic traits, regulated by complex, multilayered biological mechanisms. Comprehensive elucidation of the bacterium’s virulence and resistance pathways necessitates the discovery of novel molecular targets followed by systematic, in-depth characterization.

Indexed as

Drug Resistance, Multiple, BacterialFlavobacteriaceaeFlavobacteriaceae InfectionsVirulence FactorsAnti-Bacterial AgentsGenome, BacterialGenomicsGenotypeHumansMicrobial Sensitivity TestsPhylogenyVirulenceAnti-Bacterial AgentsVirulence FactorsElizabethkingia anophelisPhenotypes-genotypes interactionResistance genotypesVirulence genes

Identifiers

PMID41761064
PMCPMC13049722

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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.