Urine and Plasma Extracellular Vesicle Analysis for Monitoring Renal Recovery after Acute Kidney Injury

BACKGROUND: Maladaptive repair processes following AKI can promote the progression of chronic kidney disease, highlighting the need for biomarkers capable of monitoring post-AKI renal function trajectory. EVs, nanosized lipid vesicles secreted by cells into biofluids, are considered valuable biomarker sources, as their cargo may reflect the originating cells and their pathophysiological condition. METHODS: Urinary and plasma EV surface markers were analyzed in AKI patients compared with age- and sex-matched controls using multiplex flow cytometry. Patients were stratified according to renal function changes at 90-day follow-up, distinguishing between those with an improved or not improved kidney disease. RESULTS: In AKI patients at the hospital discharge, urinary EV analysis showed a downregulation of the tubular progenitor markers CD133 and CD24, with upregulation of mesenchymal/inflammatory markers CD29, SSEA-4 and HLA-DR, in comparison with controls. Plasma EV analysis showed concomitant modulation in AKI patients of markers of endothelial dysfunction and platelet activation. Considering the kidney function at 90 days of follow-up, urinary EV SSEA-4, a marker of cell dedifferentiation, was higher in AKI patients with improved function and correlated with renal recovery. Conversely, plasma EV CD42a, a marker of platelet activation, was higher in patients with persistent renal impairment and negatively correlated with renal recovery. Furthermore, the combined uSSEA-4/pCD42a index provided higher correlation and regression performance compared with either marker alone. CONCLUSIONS: These findings suggest that EV surface profiling could represent a minimally invasive strategy to distinguish adaptive from maladaptive repair after AKI, supporting the potential use of integrated urinary and plasma EV biomarkers to predict kidney disease progression.

Authors

Institutions

Publication Details

Journal
Kidney360
Published
2026-08-17
DOI
https://doi.org/10.34067/kid.0000001331
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Urine and Plasma Extracellular Vesicle Analysis for Monitoring Renal Recovery after Acute Kidney Injury

Valentina Bettio, Marita Marengo, Adele Tanzi, Jacopo Burrello et al.
Kidney360
Extracellular vesicles in disease
article

Urine and Plasma Extracellular Vesicle Analysis for Monitoring Renal Recovery after Acute Kidney Injury

Valentina Bettio, Marita Marengo, Adele Tanzi, Jacopo Burrello, Sarah Tassinari, Daniela Capello, Alessia Brossa, Cristina Grange, Benedetta Bussolati, Stefania Prenna, Riccardo Piscia, Miriam Rosina, Vincenzo Cantaluppi
article en

Abstract

BACKGROUND: Maladaptive repair processes following AKI can promote the progression of chronic kidney disease, highlighting the need for biomarkers capable of monitoring post-AKI renal function trajectory. EVs, nanosized lipid vesicles secreted by cells into biofluids, are considered valuable biomarker sources, as their cargo may reflect the originating cells and their pathophysiological condition. METHODS: Urinary and plasma EV surface markers were analyzed in AKI patients compared with age- and sex-matched controls using multiplex flow cytometry. Patients were stratified according to renal function changes at 90-day follow-up, distinguishing between those with an improved or not improved kidney disease. RESULTS: In AKI patients at the hospital discharge, urinary EV analysis showed a downregulation of the tubular progenitor markers CD133 and CD24, with upregulation of mesenchymal/inflammatory markers CD29, SSEA-4 and HLA-DR, in comparison with controls. Plasma EV analysis showed concomitant modulation in AKI patients of markers of endothelial dysfunction and platelet activation. Considering the kidney function at 90 days of follow-up, urinary EV SSEA-4, a marker of cell dedifferentiation, was higher in AKI patients with improved function and correlated with renal recovery. Conversely, plasma EV CD42a, a marker of platelet activation, was higher in patients with persistent renal impairment and negatively correlated with renal recovery. Furthermore, the combined uSSEA-4/pCD42a index provided higher correlation and regression performance compared with either marker alone. CONCLUSIONS: These findings suggest that EV surface profiling could represent a minimally invasive strategy to distinguish adaptive from maladaptive repair after AKI, supporting the potential use of integrated urinary and plasma EV biomarkers to predict kidney disease progression.

Kidney360
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), Department of Medical Sciences (BY), University of Turin (IT)
Good health and well-being
Openalex Percentile: Top 16%
Extracellular vesicles in disease
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.