Tláskal Vojtěch, Hrbáček Jan, Hanáček Vítězslav, Baránková Petra, Čermák Pavel, Zachoval Roman, Thiago Dobbler Priscila
Department of Urology, Thomayer University Hospital, Prague, Czech Republic.
Institute of Soil Biology and Biogeochemistry, Biology Centre of the Czech Academy of Sciences, Ceske Budejovice, Czech Republic.
BMC Microbiol. 2025 Apr 16;25(1):222. doi: 10.1186/s12866-025-03915-7.
Understanding the temporal variability of the microbiome is critical for translating associations of the microbiome with health and disease into clinical practice. The aim of this study is to assess the extent of temporal variability of the human urinary microbiota. A pair of urine samples were collected from study participants at 3-40-month interval. DNA was extracted and the bacterial V4 hypervariable region of the 16S rRNA gene was sequenced on the Illumina MiSeq platform. The alpha diversity of paired samples was analyzed using Chao1 and Shannon indices and PERMANOVA was used to test the factors influencing beta diversity.
A total of 63 participants (43 men and 20 women with a mean age of 63.0 and 57.1 years, respectively) were included in the final analysis. An average of 152 ± 128 bacterial operational taxonomic units (OTUs) were identified in each urine sample from the entire cohort. There was an average of 41 ± 32 overlapping OTUs in each sample pair, accounting for 66.3 ± 29.4% of the relative abundance. There was a clear correlation between the number of overlapping OTUs and the relative abundance covered. The difference in Chao1 index between paired samples was statistically significant; the difference in Shannon index was not. Beta diversity did not differ significantly within the paired samples. Neither age nor sex of the participants influenced the variation in community composition. With a longer interval between the collections, the relative abundance covered by the overlapping OTUs changed significantly but not the number of OTUs.
Our findings demonstrated that, while the relative abundance of dominant bacteria varied, repeated collections generally shared more than 60% of the bacterial community. Furthermore, we observed little variation in the alpha and beta diversity of the microbial community in human urine. These results help to understand the dynamics of human urinary microbiota and enable interpretation of future studies.
了解微生物组的时间变异性对于将微生物组与健康和疾病的关联转化为临床实践至关重要。本研究的目的是评估人类泌尿微生物群的时间变异程度。从研究参与者那里每隔3 - 40个月收集一对尿液样本。提取DNA，并在Illumina MiSeq平台上对16S rRNA基因的细菌V4高变区进行测序。使用Chao1和香农指数分析配对样本的α多样性，并使用PERMANOVA检验影响β多样性的因素。
最终分析纳入了63名参与者（43名男性和20名女性，平均年龄分别为63.0岁和57.1岁）。整个队列中每个尿液样本平均鉴定出152±128个细菌操作分类单元（OTU）。每个样本对平均有41±32个重叠OTU，占相对丰度的66.3±29.4%。重叠OTU的数量与所覆盖的相对丰度之间存在明显的相关性。配对样本之间Chao1指数的差异具有统计学意义；香农指数的差异则无统计学意义。配对样本内的β多样性没有显著差异。参与者的年龄和性别均未影响群落组成的变化。随着采集间隔时间延长，重叠OTU所覆盖的相对丰度变化显著，但OTU的数量没有变化。
我们的研究结果表明，虽然优势细菌的相对丰度有所不同，但重复采集的样本通常共享超过60%的细菌群落。此外，我们观察到人类尿液中微生物群落的α和β多样性变化很小。这些结果有助于理解人类泌尿微生物群的动态变化，并为未来的研究提供解读依据。
