从一家中国医院分离出的高利奈唑胺最低抑菌浓度菌株的特征：（B）传播和转座子关联的首个基因组证据

Characterization of High-Linezolid-MIC Isolated from a Chinese Hospital: First Genomic Evidence of (B) Transmission and Tn Association.

作者信息

Fu Xuyan, Bi Xiajing, Lv Tao, Chen Yunbo

机构信息

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, 310003, People's Republic of China.

Department of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China.

出版信息

Infect Drug Resist. 2025 Sep 8;18:4789-4798. doi: 10.2147/IDR.S523333. eCollection 2025.

DOI:10.2147/IDR.S523333

PMID:40949834

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12430234/

Abstract

BACKGROUND

() exhibiting high linezolid minimum inhibitory concentration (>4 µg/mL) remains infrequently reported in clinical settings. Notably, the prevalence of linezolid-resistant is exceptionally low (<3% in Chinese isolates), and the underlying genetic determinants are poorly characterized.

METHODS

We conducted a genomic study to investigate the genetic characteristics of e with high linezolid MIC. To determine the MIC of linezolid and delineate antimicrobial resistance profiles, these isolates were systematically subjected to antimicrobial susceptibility testing. Multilocus sequence typing, antimicrobial resistance genes, and the characteristics of the gene in linezolid-resistant e strains were analyzed following whole-genome sequencing. Roary was used to construct a pangenome phylogenetic tree, and a Bayesian evolutionary analysis was performed using BEAST.4.

RESULTS

Among 421 screened isolates, nine isolates (2.1%) exhibited high-linezolid MICs (≥16 μg/mL), including six ST37 (A-B+) and three ST3 strains (two A-B-). All harbored (B) on Tn, sharing homology with (NG_050395.1).

CONCLUSION

This study underscores the risk of (B) dissemination via mobile genetic elements in clinical settings, urging surveillance of co-occurrence in and to curb resistance spread.

摘要

背景

临床环境中出现利奈唑胺最低抑菌浓度高（>4μg/mL）的情况报道较少。值得注意的是，耐利奈唑胺的流行率极低（中国分离株中<3%），其潜在的遗传决定因素也鲜为人知。

方法

我们开展了一项基因组研究，以调查利奈唑胺MIC高的肠球菌的遗传特征。为确定利奈唑胺的MIC并描述抗菌药物耐药谱，对这些分离株系统地进行了药敏试验。在全基因组测序后，分析了多位点序列分型、抗菌药物耐药基因以及耐利奈唑胺肠球菌菌株中肠球菌基因的特征。使用Roary构建泛基因组系统发育树，并使用BEAST.4进行贝叶斯进化分析。