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Exploring the Association between Gut and Urine Microbiota and Prostatic Disease including Benign Prostatic Hyperplasia and Prostate Cancer Using 16S rRNA Sequencing

Authors :
Kai-Yen Tsai
Deng-Chyang Wu
Wen-Jeng Wu
Jiunn-Wei Wang
Yung-Shun Juan
Ching-Chia Li
Chung-Jung Liu
Hsiang-Ying Lee
Source :
Biomedicines, Vol 10, Iss 11, p 2676 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Numerous microorganisms residing in the gastrointestinal and genitourinary tracts affect host health. We investigated stool and voided urine samples collected from patients with benign prostatic hyperplasia (BPH) or prostate cancer (PC) and a control group to explore the potential relationship between human microbiota and prostatic disease, and aimed to identify correlations and pathogenic taxonomic units. We studied microbial composition using 16S rRNA sequencing to identify operational taxonomic units (OTUs). Extracted genome was amplified and filtered sequences were used to classify OTUs based on their specific taxonomy. No statistically significant differences were observed in stool samples among the groups. However, urine samples indicated different microbiota compositions in different patient populations. The top five microbial genera that showed significant differences between the BPH and control groups were Alcaligenes, Pseudomonas, Lactobacillus, Akkermansia, and Cetobacterium. Faecalibacterium, Staphylococcus, Ruminococcaceae_UCG_002, Neisseria, and Agathobacter were the genera with the largest proportion differences when comparing the PC and control groups. We discovered that the urine microbiota composition of the BPH and PC groups was distinct from that of the control group. Due to the impact of microbiota on prostatic disease, it is necessary to identify specific microbes for further research.

Details

Language :
English
ISSN :
22279059
Volume :
10
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Biomedicines
Publication Type :
Academic Journal
Accession number :
edsdoj.40f0848619274f8f938287f0f0a5c4fe
Document Type :
article
Full Text :
https://doi.org/10.3390/biomedicines10112676