Huang Hsien-Po, Huang Yao-Ting, Yeh Ting-Kuang, Lee Yi-Pei, Lin Ting-Wei, Pan Hui-Hsien, Liu Po-Yu
Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan.
Emerg Microbes Infect. 2025 Dec;14(1):2547721. doi: 10.1080/22221751.2025.2547721. Epub 2025 Aug 26.
Recurrent infections pose significant clinical challenges due to antimicrobial resistance and within-host evolution. This study investigates the genetic and phenotypic changes among isolates using next-generation sequencing. We retrospectively analyzed 65 infection cases at a tertiary hospital in Taiwan from 2016 to 2023. Whole-genome sequencing of 12 isolates from patients with recurrent bloodstream infections was performed using Oxford Nanopore Technology. Resistance genes and beta-lactamases were identified, and genome similarity was assessed using average nucleotide identity (ANI) for phylogenetic analysis. Recurrent infections were significantly associated with bloodstream and urinary tract infections (p < 0.01). Whole-genome sequencing improved species identification over matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS), leading to the discovery of a novel species and the first identification of as a bacteraemia pathogen. Beta-lactamases grouped according to phylogenetic clades, indicating lineage-specific resistance patterns. Missense mutations in genes such as , , , , and correlated with changes in antimicrobial resistance profiles, suggesting in vivo evolution during recurrent infections. This study enhances understanding of genomic heterogeneity and underscores the importance of whole-genome sequencing for accurate species identification and resistance detection. The findings highlight the need for larger-scale studies to monitor emerging variants and assess their clinical impact.
由于抗菌药物耐药性和宿主内进化,复发性感染带来了重大的临床挑战。本研究使用下一代测序技术调查分离株之间的基因和表型变化。我们回顾性分析了台湾一家三级医院2016年至2023年期间的65例感染病例。使用牛津纳米孔技术对12例复发性血流感染患者的分离株进行了全基因组测序。鉴定了耐药基因和β-内酰胺酶,并使用平均核苷酸同一性(ANI)评估基因组相似性以进行系统发育分析。复发性感染与血流感染和尿路感染显著相关(p<0.01)。与基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)相比,全基因组测序改善了菌种鉴定,从而发现了一个新菌种,并首次将其鉴定为菌血症病原体。β-内酰胺酶根据系统发育分支进行分组,表明存在谱系特异性耐药模式。诸如、、、和等基因中的错义突变与抗菌药物耐药谱的变化相关,表明复发性感染期间的体内进化。本研究增进了对基因组异质性的理解,并强调了全基因组测序对于准确菌种鉴定和耐药性检测的重要性。研究结果凸显了开展更大规模研究以监测新出现的变异体并评估其临床影响的必要性。