The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri, USA.
Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA.
Microbiome. 2022 Jan 17;10(1):6. doi: 10.1186/s40168-021-01204-9.
The lack of a definition of urinary microbiome health convolutes diagnosis of urinary tract infections (UTIs), especially when non-traditional uropathogens or paucity of bacteria are recovered from symptomatic patients in routine standard-of-care urine tests. Here, we used shotgun metagenomic sequencing to characterize the microbial composition of asymptomatic volunteers in a set of 30 longitudinally collected urine specimens. Using permutation tests, we established a range of asymptomatic microbiota states, and use these to contextualize the microbiota of 122 urine specimens collected from patients with suspected UTIs diagnostically categorized by standard-of-care urinalysis within that range. Finally, we used a standard-of-care culture protocol to evaluate the efficiency of culture-based recovery of the urinary microbiota.
The majority of genitourinary microbiota in individals suspected to have UTI overlapped with the spectrum of asymptomatic microbiota states. Longitudinal characterization of the genitourinary microbiome in urine specimens collected from asymptomatic volunteers revealed fluctuations of microbial functions and taxonomy over time. White blood cell counts from urinalysis suggested that urine specimens categorized as 'insignificant', 'contaminated', or 'no-growth' by conventional culture methods frequently showed signs of urinary tract inflammation, but this inflammation is not associated with genitourinary microbiota dysbiosis. Comparison of directly sequenced urine specimens with standard-of-care culturing confirmed that culture-based diagnosis biases genitourinary microbiota recovery towards the traditional uropathogens Escherichia coli and Klebsiella pneumoniae.
Here, we utilize shotgun metagenomic sequencing to establish a baseline of asymptomatic genitourinary microbiota states. Using this baseline we establish substantial overlap between symptomatic and asymptomatic genitourinary microbiota states. Our results establish that bacterial presence alone does not explain the onset of clinical symptoms. Video Abstract.
由于缺乏对尿微生物组健康的定义,使得尿路感染(UTI)的诊断变得复杂,尤其是在常规标准护理尿液检测中,从有症状的患者中回收非传统尿路病原体或细菌稀少时。在这里,我们使用 shotgun 宏基因组测序来描述 30 个纵向收集的尿液标本中无症状志愿者的微生物组成。通过排列检验,我们确定了一系列无症状的微生物群状态,并将这些状态用于将在标准护理尿液分析范围内诊断为疑似 UTI 的患者的 122 个尿液标本的微生物群进行背景化处理。最后,我们使用标准护理培养方案来评估基于培养的尿微生物群回收效率。
在疑似患有 UTI 的个体中,大多数泌尿生殖系统微生物群与无症状微生物群状态的范围重叠。对来自无症状志愿者的尿液标本进行的泌尿生殖系统微生物组的纵向描述显示,微生物功能和分类随时间波动。尿液分析中的白细胞计数表明,通过传统培养方法分类为“无意义”、“污染”或“无生长”的尿液标本经常显示出尿路炎症的迹象,但这种炎症与泌尿生殖系统微生物群失调无关。与标准护理培养相比,直接测序的尿液标本证实,基于培养的诊断会使泌尿生殖系统微生物群的恢复偏向于传统尿路病原体大肠杆菌和肺炎克雷伯菌。
在这里,我们利用 shotgun 宏基因组测序来建立无症状泌尿生殖系统微生物群状态的基线。利用这个基线,我们确定了有症状和无症状泌尿生殖系统微生物群状态之间存在大量重叠。我们的结果表明,细菌的存在本身并不能解释临床症状的发生。