• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

优化从尿液中提取微生物DNA:推进膀胱癌尿液微生物组研究。

Optimizing extraction of microbial DNA from urine: Advancing urinary microbiome research in bladder cancer.

作者信息

Zheng Chuang-Ming, Kang Ho Won, Moon Seongmin, Byun Young Joon, Kim Won Tae, Choi Yung Hyun, Moon Sung-Kwon, Piao Xuan-Mei, Yun Seok Joong

机构信息

Key Laboratory of Cellular Function and Pharmacology of Jilin Province, Yanbian University, Yanji, China.

Department of Urology, Chungbuk National University College of Medicine, Cheongju, Korea.

出版信息

Investig Clin Urol. 2025 May;66(3):272-280. doi: 10.4111/icu.20240454.

DOI:10.4111/icu.20240454
PMID:40312907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12058534/
Abstract

PURPOSE

This study aimed to evaluate and optimize microbial DNA extraction methods from urine, a non-invasive sample source, to enhance DNA quality, purity, and reliability for urinary microbiome research and biomarker discovery in bladder cancer.

MATERIALS AND METHODS

A total of 302 individuals (258 with genitourinary cancers and 44 with benign urologic diseases) participated in this study. Urine samples were collected via sterile catheterization, resulting in 445 vials for microbial analysis. DNA extraction was performed using three protocols: the standard protocol (SP), water dilution protocol (WDP), and chelation-assisted protocol (CAP). DNA quality (concentration, purity, and contamination levels) was assessed using NanoDrop spectrophotometry. Microbial analysis was conducted on 138 samples (108 cancerous and 30 benign) using 16S rRNA sequencing. Prior to sequencing on the Illumina MiSeq platform, Victor 3 fluorometry was used for validation.

RESULTS

WDP outperformed other methods, achieving significantly higher 260/280 and 260/230 ratios, indicating superior DNA purity and reduced contamination, while maintaining reliable DNA yields. CAP was excluded due to poor performance across all metrics. Microbial abundance was significantly higher in WDP-extracted samples (p<0.0001), whereas SP demonstrated higher alpha diversity indices (p<0.01), likely due to improved detection of low-abundance taxa. Beta diversity analysis showed no significant compositional differences between SP and WDP (p=1.0), supporting the reliability of WDP for microbiome research.

CONCLUSIONS

WDP is a highly effective and reliable method for microbial DNA extraction from urine, ensuring high-quality and reproducible results. Future research should address sample variability and crystal precipitation to further refine microbiome-based diagnostics and therapeutics.

摘要

目的

本研究旨在评估和优化从尿液(一种非侵入性样本来源)中提取微生物DNA的方法,以提高DNA质量、纯度和可靠性,用于膀胱癌尿液微生物组研究和生物标志物发现。

材料与方法

共有302名个体(258例泌尿生殖系统癌症患者和44例良性泌尿系统疾病患者)参与本研究。通过无菌导尿收集尿液样本,共获得445瓶用于微生物分析的样本。使用三种方案进行DNA提取:标准方案(SP)、水稀释方案(WDP)和螯合辅助方案(CAP)。使用NanoDrop分光光度法评估DNA质量(浓度、纯度和污染水平)。对138份样本(108份癌性样本和30份良性样本)进行16S rRNA测序以进行微生物分析。在Illumina MiSeq平台上测序之前,使用Victor 3荧光测定法进行验证。

结果

WDP的表现优于其他方法,260/280和260/230比值显著更高,表明DNA纯度更高且污染减少,同时保持了可靠的DNA产量。由于在所有指标上表现不佳,CAP被排除。WDP提取的样本中微生物丰度显著更高(p<0.0001),而SP显示出更高的α多样性指数(p<0.01),这可能是由于对低丰度分类群的检测得到了改善。β多样性分析表明SP和WDP之间没有显著的组成差异(p=1.0),支持了WDP在微生物组研究中的可靠性。

结论

WDP是一种从尿液中提取微生物DNA的高效可靠方法,可确保高质量和可重复的结果。未来的研究应解决样本变异性和晶体沉淀问题,以进一步完善基于微生物组的诊断和治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6839/12058534/a993ed0b6f8e/icu-66-272-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6839/12058534/57955b21b903/icu-66-272-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6839/12058534/4e16686ab2cc/icu-66-272-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6839/12058534/0d25025ce1cd/icu-66-272-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6839/12058534/a993ed0b6f8e/icu-66-272-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6839/12058534/57955b21b903/icu-66-272-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6839/12058534/4e16686ab2cc/icu-66-272-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6839/12058534/0d25025ce1cd/icu-66-272-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6839/12058534/a993ed0b6f8e/icu-66-272-g004.jpg

相似文献

1
Optimizing extraction of microbial DNA from urine: Advancing urinary microbiome research in bladder cancer.优化从尿液中提取微生物DNA:推进膀胱癌尿液微生物组研究。
Investig Clin Urol. 2025 May;66(3):272-280. doi: 10.4111/icu.20240454.
2
The Microbiome of Catheter Collected Urine in Males with Bladder Cancer According to Disease Stage.膀胱癌男性患者根据疾病阶段的导尿管采集尿液中的微生物组。
J Urol. 2021 Jan;205(1):86-93. doi: 10.1097/JU.0000000000001336. Epub 2020 Aug 28.
3
Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.分析中国男性膀胱癌患者的尿微生物组。
Front Cell Infect Microbiol. 2018 May 31;8:167. doi: 10.3389/fcimb.2018.00167. eCollection 2018.
4
Evaluation of Methods for the Extraction of Microbial DNA From Vaginal Swabs Used for Microbiome Studies.用于宏基因组研究的阴道拭子中微生物 DNA 提取方法的评估。
Front Cell Infect Microbiol. 2019 Jun 6;9:197. doi: 10.3389/fcimb.2019.00197. eCollection 2019.
5
Studying the urine microbiome in superficial bladder cancer: samples obtained by midstream voiding versus cystoscopy.研究浅表性膀胱癌的尿微生物组:中段尿与膀胱镜下获取的样本比较。
BMC Urol. 2020 Jan 28;20(1):5. doi: 10.1186/s12894-020-0576-z.
6
High-throughput DNA extraction strategy for fecal microbiome studies.高通量粪便微生物组研究的 DNA 提取策略。
Microbiol Spectr. 2024 Jun 4;12(6):e0293223. doi: 10.1128/spectrum.02932-23. Epub 2024 May 15.
7
The urinary microbiome associated with bladder cancer.膀胱癌相关的尿微生物组。
Sci Rep. 2018 Aug 14;8(1):12157. doi: 10.1038/s41598-018-29054-w.
8
Characteristics of the Urinary Microbiome From Patients With Gout: A Prospective Study.痛风患者尿液微生物组特征的前瞻性研究。
Front Endocrinol (Lausanne). 2020 May 20;11:272. doi: 10.3389/fendo.2020.00272. eCollection 2020.
9
Bladder cancer is associated with decreased urinary microbiota diversity and alterations in microbial community composition.膀胱癌与尿微生物多样性减少和微生物群落组成改变有关。
Urol Oncol. 2023 Feb;41(2):107.e15-107.e22. doi: 10.1016/j.urolonc.2022.09.018. Epub 2022 Nov 16.
10
Changes in the Urinary Microbiome After Transurethral Resection of Non-muscle-Invasive Bladder Cancer: Insights from a Prospective Observational Study.经尿道膀胱肿瘤切除术(非肌层浸润性膀胱癌)后尿微生物组的变化:一项前瞻性观察研究的结果。
Ann Surg Oncol. 2024 Jul;31(7):4773-4786. doi: 10.1245/s10434-024-15198-9. Epub 2024 Apr 3.

本文引用的文献

1
Urinary Microbiome in Bladder Diseases-Review.膀胱疾病中的泌尿微生物群——综述
Biomedicines. 2023 Oct 17;11(10):2816. doi: 10.3390/biomedicines11102816.
2
Urine biomarkers in bladder cancer - current status and future perspectives.膀胱癌中的尿液生物标志物——现状与未来展望
Nat Rev Urol. 2023 Oct;20(10):597-614. doi: 10.1038/s41585-023-00773-8. Epub 2023 May 24.
3
Bacteria for Treatment: Microbiome in Bladder Cancer.用于治疗的细菌:膀胱癌中的微生物群
Biomedicines. 2022 Jul 25;10(8):1783. doi: 10.3390/biomedicines10081783.
4
Urinary microbiota and bladder cancer: A systematic review and a focus on uropathogens.尿微生物组与膀胱癌:系统评价及尿路病原体关注焦点
Semin Cancer Biol. 2022 Nov;86(Pt 3):875-884. doi: 10.1016/j.semcancer.2021.12.010. Epub 2022 Jan 1.
5
Prominence of urinary biomarkers for bladder cancer in the COVID-19 era: From the commercially available to new prospective candidates.在 COVID-19 时代,膀胱癌尿液生物标志物的重要性:从市售到新的有前景的候选物。
Investig Clin Urol. 2021 Sep;62(5):500-519. doi: 10.4111/icu.20210194.
6
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.《全球癌症统计数据 2020:全球 185 个国家和地区 36 种癌症的发病率和死亡率估计》。
CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
7
Optimizing bacterial DNA extraction in urine.优化尿液中的细菌 DNA 提取。
PLoS One. 2019 Sep 24;14(9):e0222962. doi: 10.1371/journal.pone.0222962. eCollection 2019.
8
Priorities for the next 10 years of human microbiome research.人类微生物组研究未来10年的优先事项。
Nature. 2019 May;569(7758):623-625. doi: 10.1038/d41586-019-01654-0.
9
Optimization of DNA extraction from human urinary samples for mycobiome community profiling.优化从人尿样中提取 DNA 以进行真菌群落分析。
PLoS One. 2019 Apr 25;14(4):e0210306. doi: 10.1371/journal.pone.0210306. eCollection 2019.
10
Towards standards for human fecal sample processing in metagenomic studies.迈向宏基因组研究中人粪便样本处理的标准。
Nat Biotechnol. 2017 Nov;35(11):1069-1076. doi: 10.1038/nbt.3960. Epub 2017 Oct 2.