Evidence map›Paper›PMID 41852664›Full record

ArticleFrontiers in cellular and infection microbiology2026

Urinary microbiota and bacterial membrane vesicles in chronic kidney disease: contribution to antimicrobial-resistant urinary tract infections.

Naoko Shibata, Ayumi Yoshifuji, Emi Oyama, Motoaki Komatsu, Tatsuhiko Azegami, Kaori Hayashi, Yoshikazu Ishii, Naoki Hasegawa, Ho Namkoong

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

9 authors.

Naoko ShibataDepartment of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan.
Ayumi YoshifujiDepartment of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan.
Emi OyamaDepartment of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan.
Motoaki KomatsuDepartment of Nephrology, Tokyo Saiseikai Central Hospital, Tokyo, Japan.
Tatsuhiko AzegamiDivision of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Kaori HayashiDivision of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Yoshikazu IshiiCenter for the Planetary Health and Innovation Science (PHIS), The IDEC Institute, Hiroshima University, Higashihiroshima, Japan.
Naoki HasegawaDepartment of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan.
Ho NamkoongDepartment of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is associated with an increased risk of severe urinary tract infections (UTIs), particularly those caused by antimicrobial-resistant bacteria. Although urinary microbiota and bacterial membrane vesicles (BMVs) are thought to contribute to UTI pathogenesis, their roles in CKD remain insufficiently understood. In this exploratory study, urine samples were collected from 10 male patients with CKD (eGFR <45 mL/min/1.73 m²) and 10 male non-CKD controls (eGFR ≥60 mL/min/1.73 m²). Urinary microbiota and BMV fractions were isolated and analyzed to compare microbial composition and antimicrobial resistance gene (ARG) profiles, and to evaluate their potential involvement in UTI development and the emergence of antimicrobial resistance in CKD. Both fractions were subjected to shotgun metagenomic sequencing; metagenomic analysis of BMVs was performed using pooled samples within each group. In addition, BMV fractions were characterized by transmission electron microscopy and 16S rRNA gene PCR. Urinary microbiota α-diversity was significantly lower in patients with CKD than in controls (ACE index,

Indexed as

BacteriaDrug Resistance, BacterialMicrobiotaRenal Insufficiency, ChronicUrinary Tract InfectionsUrineAgedAnti-Bacterial AgentsDNA, BacterialHumansMaleMetagenomicsMicroscopy, Electron, TransmissionMiddle AgedRNA, Ribosomal, 16SSequence Analysis, DNAAnti-Bacterial AgentsDNA, BacterialRNA, Ribosomal, 16Santimicrobial resistance genesbacterial membrane vesicleschronic kidney diseasemetagenomic analysisurinary microbiome

Identifiers

PMID41852664
PMCPMC12992213

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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.