Urinary bladder microbiome identification protocol with proteomics in bladder cancer patients and review of the literature

P. Stamatakos, C. Fragkoulis, Ieronymos Zoidakis, K. Ntoumas, A. Dellis
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引用次数: 0

Abstract

Urine was conventionally thought to be sterile. However, recent evidence about the presence of microorganisms residing the urinary tract has led to an emerging field of investigation about the potential role of urinary microbiome in the pathogenesis of urinary bladder cancer. Urinary microbiota refers to the different microbe populations present in the urinary tract while a variety of genetic, environmental, and experimental parameters have been investigated as predisposing factors of microbial composition. Different methods of urine collection as well as experimental methodology on microbiome's characterization consist of well-defined factors that may alter the microbial composition. Few preliminary data have been reported so far implicating microorganisms as causative and prognostic factors of bladder tumorigenesis, examining mostly midstream-voided urine samples while the most commonly used analyzing technique was 16S rRNA sequencing method. In the present study, a protocol of microbiome identification using proteomics is reported analyzing differences in microbial composition between bladder cancer patients and healthy controls while a review of the current evidence is presented. To the best of our knowledge, proteomics has not been described as a possible method of microbiome characterization before.
膀胱癌患者膀胱微生物组蛋白质组学鉴定方案及文献综述
传统上认为尿液是无菌的。然而,最近关于泌尿道中存在微生物的证据导致了一个关于泌尿微生物群在膀胱癌发病机制中的潜在作用的新兴研究领域。尿微生物群是指存在于尿路中的不同微生物种群,而各种遗传、环境和实验参数已被研究为微生物组成的易感因素。不同的尿液收集方法以及微生物组表征的实验方法由明确定义的可能改变微生物组成的因素组成。目前很少有初步资料报道微生物是膀胱肿瘤发生的病因和预后因素,主要检查中游空尿样本,最常用的分析技术是16S rRNA测序法。在本研究中,一种使用蛋白质组学的微生物组鉴定方案被报道,分析了膀胱癌患者和健康对照之间微生物组成的差异,同时对现有证据进行了回顾。据我们所知,蛋白质组学之前还没有被描述为一种可能的微生物组表征方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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