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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

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 betwe...

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Autores principales: Tsai, Kai-Yen, Wu, Deng-Chyang, Wu, Wen-Jeng, Wang, Jiunn-Wei, Juan, Yung-Shun, Li, Ching-Chia, Liu, Chung-Jung, Lee, Hsiang-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687995/
https://www.ncbi.nlm.nih.gov/pubmed/36359196
http://dx.doi.org/10.3390/biomedicines10112676
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author Tsai, Kai-Yen
Wu, Deng-Chyang
Wu, Wen-Jeng
Wang, Jiunn-Wei
Juan, Yung-Shun
Li, Ching-Chia
Liu, Chung-Jung
Lee, Hsiang-Ying
author_facet Tsai, Kai-Yen
Wu, Deng-Chyang
Wu, Wen-Jeng
Wang, Jiunn-Wei
Juan, Yung-Shun
Li, Ching-Chia
Liu, Chung-Jung
Lee, Hsiang-Ying
author_sort Tsai, Kai-Yen
collection PubMed
description 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.
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spelling pubmed-96879952022-11-25 Exploring the Association between Gut and Urine Microbiota and Prostatic Disease including Benign Prostatic Hyperplasia and Prostate Cancer Using 16S rRNA Sequencing Tsai, Kai-Yen Wu, Deng-Chyang Wu, Wen-Jeng Wang, Jiunn-Wei Juan, Yung-Shun Li, Ching-Chia Liu, Chung-Jung Lee, Hsiang-Ying Biomedicines Article 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. MDPI 2022-10-23 /pmc/articles/PMC9687995/ /pubmed/36359196 http://dx.doi.org/10.3390/biomedicines10112676 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tsai, Kai-Yen
Wu, Deng-Chyang
Wu, Wen-Jeng
Wang, Jiunn-Wei
Juan, Yung-Shun
Li, Ching-Chia
Liu, Chung-Jung
Lee, Hsiang-Ying
Exploring the Association between Gut and Urine Microbiota and Prostatic Disease including Benign Prostatic Hyperplasia and Prostate Cancer Using 16S rRNA Sequencing
title Exploring the Association between Gut and Urine Microbiota and Prostatic Disease including Benign Prostatic Hyperplasia and Prostate Cancer Using 16S rRNA Sequencing
title_full Exploring the Association between Gut and Urine Microbiota and Prostatic Disease including Benign Prostatic Hyperplasia and Prostate Cancer Using 16S rRNA Sequencing
title_fullStr Exploring the Association between Gut and Urine Microbiota and Prostatic Disease including Benign Prostatic Hyperplasia and Prostate Cancer Using 16S rRNA Sequencing
title_full_unstemmed Exploring the Association between Gut and Urine Microbiota and Prostatic Disease including Benign Prostatic Hyperplasia and Prostate Cancer Using 16S rRNA Sequencing
title_short Exploring the Association between Gut and Urine Microbiota and Prostatic Disease including Benign Prostatic Hyperplasia and Prostate Cancer Using 16S rRNA Sequencing
title_sort exploring the association between gut and urine microbiota and prostatic disease including benign prostatic hyperplasia and prostate cancer using 16s rrna sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687995/
https://www.ncbi.nlm.nih.gov/pubmed/36359196
http://dx.doi.org/10.3390/biomedicines10112676
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