Chieng Catherine C Y, Kong Qingyang, Liou Natasha S Y, Neira Rey Mariña, Dalby Katie L, Jones Neil, Khasriya Rajvinder, Horsley Harry
Centre for Kidney and Bladder Health, University College London, London NW3 2PF, UK.
Department of Microbial Diseases, Eastman Dental Institute, University College London, London NW3 2PF, UK.
Pathogens. 2025 Mar 20;14(3):299. doi: 10.3390/pathogens14030299.
Chronic urinary tract infection (UTI) presents with protracted lower urinary tract symptoms and elevated urinary leukocyte counts, but its bacterial etiological agents remain obscure. In this cross-sectional investigation, we aimed to unravel the role of the bladder microbiota in chronic UTI pathogenesis by studying the host immune response. Urine samples were collected from healthy controls (HT), chronic UTI patients who had not initiated treatment (PT) and those undergoing treatment (OT), then sorted into white blood cell (WBC) and epithelial cell (EPC) fractions. Bacteria associated with both fractions were identified by chromogenic agar culture coupled with mass spectrometry and 16S rRNA sequencing. Distinct WBC-exclusive bacteria were observed in the healthy population, but this pattern was less obvious in patients, plausibly due to epithelial shedding and breaching of the urothelial barrier. We also described a bacterial fingerprint guided by that was able to stratify patients based on symptom severity. Clustering analyses of mean rank changes revealed highly statistically significant upward and downward ecological shifts in communities of bacteria between the healthy and diseased populations. Interestingly, many of the most abundant genera identified in sequencing remained stable when compared between the study cohorts. We concluded that reshuffling of the urinary microbiome, rather than the activity of a single known urinary pathogen, could drive chronic UTI.
慢性尿路感染(UTI)表现为迁延不愈的下尿路症状和尿白细胞计数升高,但其细菌病原体仍不明确。在这项横断面研究中,我们旨在通过研究宿主免疫反应来揭示膀胱微生物群在慢性UTI发病机制中的作用。从健康对照者(HT)、未开始治疗的慢性UTI患者(PT)和正在接受治疗的患者(OT)中收集尿液样本,然后将其分为白细胞(WBC)和上皮细胞(EPC)部分。通过显色琼脂培养结合质谱分析和16S rRNA测序鉴定与这两个部分相关的细菌。在健康人群中观察到明显的仅与白细胞相关的细菌,但在患者中这种模式不太明显,这可能是由于上皮细胞脱落和尿道上皮屏障破坏所致。我们还描述了一种基于细菌指纹图谱的方法,该方法能够根据症状严重程度对患者进行分层。对平均排名变化的聚类分析显示,健康人群和患病群体之间细菌群落存在高度统计学意义的向上和向下的生态变化。有趣的是,在测序中鉴定出的许多最丰富的菌属在研究队列之间进行比较时保持稳定。我们得出结论,驱动慢性UTI的可能是泌尿微生物群的重新排列,而不是单一已知泌尿病原体的活动。