Evidence map›Paper›PMID 40312907›Full record

ArticleInvestigative and clinical urology2025

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

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

Abstract read
In one paragraph

Article in Investigative and clinical urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chuang-Ming ZhengKey Laboratory of Cellular Function and Pharmacology of Jilin Province, Yanbian University, Yanji, China.ORCID 0000-0003-1925-0571
Ho Won KangDepartment of Urology, Chungbuk National University College of Medicine, Cheongju, Korea.ORCID 0000-0002-8164-4427
Seongmin MoonDepartment of Urology, Chungbuk National University Hospital, Cheongju, Korea.ORCID 0009-0003-7090-5067
Young Joon ByunDepartment of Urology, Chungbuk National University College of Medicine, Cheongju, Korea.ORCID 0000-0002-9449-478X
Won Tae KimDepartment of Urology, Chungbuk National University College of Medicine, Cheongju, Korea.ORCID 0000-0002-7482-4550
Yung Hyun ChoiDepartment of Biochemistry, Dong-Eui University College of Oriental Medicine, Busan, Korea.ORCID 0000-0002-1454-3124
Sung-Kwon MoonDepartment of Food Science and Technology, Chung-Ang University, Anseong, Korea.ORCID 0000-0002-0260-7231
Xuan-Mei PiaoDepartment of Urology, Chungbuk National University College of Medicine, Cheongju, Korea. phm1013@hotmail.com.ORCID 0000-0001-6847-7743
Seok Joong YunDepartment of Urology, Chungbuk National University College of Medicine, Cheongju, Korea.ORCID 0000-0001-7737-4746

Funding

KHIDINRF 2020R1I1A3062508NRF 5199990614277NRF RS-2023-00245919NRF RS-2024-00342111
6 · The paper itself

Abstract

purposeThis 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

methodsA 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.

resultsWDP 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.

conclusionsWDP 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.

Indexed as

DNA, BacterialMicrobiotaUrinary Bladder NeoplasmsUrineAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16SMetagenomeMethodological studyUrinary bladder neoplasmsUrine

Identifiers

PMID40312907
PMCPMC12058534

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.