Urinary exosomal miR-132-3p as a novel non‑invasive biomarker for kidney scarring in pediatric vesicoureteral reflux patients

To assess the potential of urinary exosomal miRNA as a predictor of kidney scarring in children with vesicoureteral reflux (VUR). A prospective study was conducted in pediatrics diagnosed with VUR between September 2023 to December 2025. Urinary exosomes were isolated from patients via ultracentrifugation and subsequently characterized using transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA) and Western blot. The expression levels of exosomal miRNAs were profiled using miRNA sequencing and validated by quantitative real-time PCR. Kidney scarring was determined based on dimercaptosuccinic acid (DMSA) scintigraphy, and its association with the identified urinary exosomal miRNAs was investigated. This prospective study enrolled 81 patients, comprising 33 males and 48 females, with a median age of 27 months (IQR: 8–82). Urinary exosomal miR-132-3p expression was significantly associated with higher reflux grade, bilateral reflux, and the presence of kidney scarring. Multivariate logistic analysis showed that urinary exosomal miR-132-3p (OR = 4.937, 95% CI: 1.906–12.781, P < 0.001) was a significant predictor of kidney scarring with a high predictive value with an area under the curve (AUC) of 0.908 (95% CI: 0.823–0.961, P < 0.001). In this exploratory single-centre cohort, urinary exosomal miR-132-3p serves as a promising non-invasive biomarker for the prediction of kidney scarring in children with VUR.

Authors

Institutions

Publication Details

Journal
BMC Pediatrics
Published
2026-06-13
DOI
https://doi.org/10.1186/s12887-026-07137-2
Primary Topic
Pediatric Urology and Nephrology Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Urinary exosomal miR-132-3p as a novel non‑invasive biomarker for kidney scarring in pediatric vesicoureteral reflux patients

Q Chen, Jiajing Qiu, Yunfei Guo, Xun Lu et al.
BMC Pediatrics
Pediatric Urology and Nephrology Studies
article

Urinary exosomal miR-132-3p as a novel non‑invasive biomarker for kidney scarring in pediatric vesicoureteral reflux patients

Q Chen, Jiajing Qiu, Yunfei Guo, Xun Lu, Liqu Huang
article en

Abstract

To assess the potential of urinary exosomal miRNA as a predictor of kidney scarring in children with vesicoureteral reflux (VUR). A prospective study was conducted in pediatrics diagnosed with VUR between September 2023 to December 2025. Urinary exosomes were isolated from patients via ultracentrifugation and subsequently characterized using transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA) and Western blot. The expression levels of exosomal miRNAs were profiled using miRNA sequencing and validated by quantitative real-time PCR. Kidney scarring was determined based on dimercaptosuccinic acid (DMSA) scintigraphy, and its association with the identified urinary exosomal miRNAs was investigated. This prospective study enrolled 81 patients, comprising 33 males and 48 females, with a median age of 27 months (IQR: 8–82). Urinary exosomal miR-132-3p expression was significantly associated with higher reflux grade, bilateral reflux, and the presence of kidney scarring. Multivariate logistic analysis showed that urinary exosomal miR-132-3p (OR = 4.937, 95% CI: 1.906–12.781, P < 0.001) was a significant predictor of kidney scarring with a high predictive value with an area under the curve (AUC) of 0.908 (95% CI: 0.823–0.961, P < 0.001). In this exploratory single-centre cohort, urinary exosomal miR-132-3p serves as a promising non-invasive biomarker for the prediction of kidney scarring in children with VUR.

BMC Pediatrics
Second Affiliated Hospital of Nanjing Medical University (CN), Nanjing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 4%
Pediatric Urology and Nephrology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.