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Abstract：
To detect and analyze the changes of microorganisms in expressed prostatic secretion (EPS) of patients with IIIB prostatitis before and after low-intensity pulsed ultrasound (LIPUS) treatment, and to explore the mechanism of LIPUS in the treatment of chronic prostatitis (CP). 25 patients (study power was estimated using a Dirichlet-multinomial approach and reached 96.5% at α = 0.05 using a sample size of 25) with IIIB prostatitis who were effective in LIPUS treatment were divided into two groups before and after LIPUS treatment. High throughput second-generation sequencing technique was used to detect and analyze the relative abundance of bacterial 16 s ribosomal variable regions in EPS before and after treatment. The data were analyzed by bioinformatics software and database, and differences with P < 0.05 were considered statistically significant. Beta diversity analysis showed that there was a significant difference between groups (P = 0.046). LEfSe detected four kinds of characteristic microorganisms in the EPS of patients with IIIB prostatitis before and after LIPUS treatment. After multiple comparisons among groups by DESeq2 method, six different microorganisms were found. LIPUS may improve patients\' clinical symptoms by changing the flora structure of EPS, stabilizing and affecting resident bacteria or opportunistic pathogens.
摘要：
检测并分析IIIB期前列腺炎患者低强度脉冲超声(LIPUS)治疗前后前列腺分泌物(EPS)中微生物的变化。探讨LIPUS治疗慢性前列腺炎(CP)的作用机制。在LIPUS治疗之前和之后，将25例IIIB前列腺炎患者（使用Dirichlet-多项方法估计研究能力，使用25个样本量在α=0.05时达到96.5％）分为两组。采用高通量第二代测序技术检测并分析处理前后EPS中细菌16s核糖体可变区的相对丰度。通过生物信息学软件和数据库对数据进行分析,与P<0.05的差异被认为具有统计学意义。Beta多样性剖析显示，各组间存在显著差别（P=0.046）。LEfSe在LIPUS治疗前后检测到IIIB前列腺炎患者EPS中的四种特征微生物。通过DESeq2方法在组间进行多重比较后，发现了六种不同的微生物。LIPUS可以通过改变EPS的菌群结构改善患者的临床症状，稳定和影响常驻细菌或机会性病原体。
