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体重指数和良性前列腺增生与男性尿液微生物群多样性及下尿路症状相关。

Body mass index and benign prostatic hyperplasia correlate with urinary microbiome diversity and lower urinary tract symptoms in men.

作者信息

Bowie Kate R, Garzotto Mark, Orwoll Eric, Karstens Lisa

机构信息

Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.

Cancer Early Detection Advanced Research (CEDAR), Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.

出版信息

Commun Med (Lond). 2025 May 7;5(1):159. doi: 10.1038/s43856-025-00866-y.

DOI:10.1038/s43856-025-00866-y
PMID:40328908
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12056106/
Abstract

BACKGROUND

Several studies have identified bacteria and other microbes in the bladder and lower urinary tract in the absence of infection. In women, the urinary microbiome has been associated with lower urinary tract symptoms (LUTS), however, similar studies have not been undertaken in large cohorts of men. Here we examine the urinary microbiome and its association with LUTS in a subset of 500 men aged 65-90 years from the Osteoporotic Fractures in Men (MrOS) study.

METHODS

Bacterial DNA was isolated from urine samples. The V4 region of the 16S rRNA gene was sequenced using Illumina Miseq. Microbiome characteristics, including diversity measures and urotypes, are examined for associations with clinical characteristics and lower urinary tract symptoms.

RESULTS

Here we identify significant associations between benign prostatic hyperplasia (BPH), age, and body mass index (BMI) with several diversity metrics. Our analysis reveals complex relationships between BMI, BPH, LUTS, and alpha diversity which give insight into the intricate dynamics of the urinary microbiome.

CONCLUSIONS

By beginning to uncover the interrelationships of BPH, BMI, LUTS, and the urinary microbiome, these results can inform future study design to better understand the heterogeneity of the male urinary microbiome.

摘要

背景

多项研究已在无感染的情况下,在膀胱和下尿路中鉴定出细菌及其他微生物。在女性中,泌尿微生物群与下尿路症状(LUTS)相关,然而,尚未在大量男性队列中开展类似研究。在此,我们在男性骨质疏松性骨折(MrOS)研究的500名65至90岁男性亚组中,研究泌尿微生物群及其与LUTS的关联。

方法

从尿液样本中分离细菌DNA。使用Illumina Miseq对16S rRNA基因的V4区域进行测序。检查微生物群特征,包括多样性指标和尿型,以确定其与临床特征和下尿路症状的关联。

结果

我们在此发现良性前列腺增生(BPH)、年龄和体重指数(BMI)与几个多样性指标之间存在显著关联。我们的分析揭示了BMI、BPH、LUTS和α多样性之间的复杂关系,这有助于深入了解泌尿微生物群的复杂动态。

结论

通过开始揭示BPH、BMI、LUTS和泌尿微生物群之间的相互关系,这些结果可为未来的研究设计提供参考,以更好地理解男性泌尿微生物群的异质性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67d5/12056106/a032e6fc53d4/43856_2025_866_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67d5/12056106/a0a514c14aa1/43856_2025_866_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67d5/12056106/af3760400ba7/43856_2025_866_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67d5/12056106/a032e6fc53d4/43856_2025_866_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67d5/12056106/a0a514c14aa1/43856_2025_866_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67d5/12056106/af3760400ba7/43856_2025_866_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67d5/12056106/a032e6fc53d4/43856_2025_866_Fig3_HTML.jpg

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High-sensitivity pattern discovery in large, paired multiomic datasets.在大型配对多组学数据集中发现高灵敏度模式。
Bioinformatics. 2022 Jun 24;38(Suppl 1):i378-i385. doi: 10.1093/bioinformatics/btac232.
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