Evidence map›Paper›PMID 42100577›Full record

ReviewFrontiers in dental medicine2026

Oral microbiota and urinary system diseases: from mechanistic insights to clinical implications-a comprehensive review.

Haoling Chen, Yanan Chen, Yiwen Liu, Chuxiao Chen

Abstract readReview
In one paragraph

Review in Frontiers in dental medicine, 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

4 authors.

Haoling ChenDepartment of Pediatric Dentistry, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong, China.
Yanan ChenDepartment of Pediatric Dentistry, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong, China.
Yiwen LiuDepartment of Endodontics, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong, China.
Chuxiao ChenOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human oral microbiome has attracted considerable attention due to its role in oral health and potential implications for systemic diseases. Oral microbes provide real-time insights into health and disease status, making them valuable for early disease risk stratification and treatment outcome prediction. Accumulating evidence indicates that oral microbiota contribute to the pathogenesis of urinary system diseases. Notably, in pediatric populations, the oral microbiome-shaped by age, feeding patterns, and immune maturation-may modulate susceptibility to renal-related systemic conditions; clinical observations specifically link untreated early childhood caries to an increased risk of Henoch-Schönlein purpura nephritis (HSPN). This review critically appraises the existing literature to clarify the nature and magnitude of the association between the oral microbiome and urinary system diseases, including chronic kidney disease, urolithiasis, benign prostatic hyperplasia, and urologic cancers, as well as pediatric HSPN. We also analyze the potential mechanisms through which the oral microbiota are involved in the pathogenesis and progression of these relevant diseases, and explore its potential implications for the prevention, diagnosis, and management of urinary system disorders.

Indexed as

benign prostate diseaseschronic kidney diseasemechanistic pathwaysoral microbiomeoral-urinary axispediatric Henoch-Schönlein purpura nephritisurolithiasisurologic cancers

Identifiers

PMID42100577
PMCPMC13144015

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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.