Evidence map›Paper›PMID 41625836›Full record

ArticleCureus2025

Urinary Microbiome Profiling by Shotgun Metagenomic Sequencing in Women Having Acute Cystitis-Like Symptoms With Negative Urine Cultures.

Masanori Matsukawa, Yasuyuki Sakai, Kotaro Aoki, Yoshikazu Ishii

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Masanori MatsukawaDepartment of Urology, Takikawa Municipal Hospital, Takikawa, JPN.
Yasuyuki SakaiDepartment of Urology, Sapporo Medical University, Sapporo, JPN.
Kotaro AokiDepartment of Microbiology and Infectious Diseases, Toho University School of Medicine, Tokyo, JPN.
Yoshikazu IshiiDepartment of Microbial Genomics and Ecology, Center for the Planetary Health and Innovation Science, The IDEC Institute, Hiroshima University, Higashihiroshima, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen presenting with typical symptoms of acute cystitis but with negative urine cultures, termed acute cystitis-like symptoms with negative urine cultures (ACNCs) in this study, are not uncommon. Despite previous attempts to detect bacterial DNA in urine, the etiology remains unclear. Although alterations in the urinary microbiome have been linked to other urological disorders, its involvement in ACNC has not been thoroughly investigated.

methodsBetween September 2016 and December 2017, midstream urine samples were collected from women aged ≥16 years who had at least one typical symptom of acute cystitis and a negative urine culture. Samples were obtained at the initial (V1) and follow-up (V2) visits. Shotgun metagenomic sequencing (SMG) was performed via an Illumina MiSeq system. Taxonomic analysis at the genus level included taxa with ≥10 assigned reads in samples with ≥10,000 human-subtracted reads (HSRs).

resultsOf 206 eligible women, 15 (7.3%; median age, 65 years) met the ACNC criteria and were enrolled. SMG was conducted for 15 samples at V1 and nine samples at V2. At V1, the HSR varied widely, and only five samples met the criteria for reliable interpretation. Seven samples, particularly those with high-grade pyuria, contained fewer than 1,000 HSRs, indicating potentially very low microbial loads or technical limitations. ACNC microbiomes demonstrated marked interindividual variation in taxonomic composition. The predominant taxa most frequently observed were

conclusionsWhile conventional uropathogens below interpretable criteria are unlikely to be responsible for most ACNCs, it is not necessarily recommended to regard the leading taxon in each case as the cause or to exclude microbiological involvement simply due to a low HSR because no validated metagenomic signature distinguishes pathogens from commensals. However, the observed diversity in ACNC microbiome profiles may reflect a heterogenous group of microbial conditions, including potentially viral, and nonmicrobial etiologies.

Indexed as

acute cystitisculture negativelower urinary tract infectionsmicrobiomeshotgun metagenomic sequencing

Identifiers

PMID41625836
PMCPMC12858038

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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.