Low circulating miR-190a-5p predicts progression of chronic kidney disease

MicroRNAs may act as diagnostic and prognostic biomarkers of chronic kidney disease and are functionally important in disease pathogenesis. To identify novel microRNA biomarkers, we performed small RNA-sequencing on plasma from individuals with type 2 diabetes, with and without chronic kidney disease. MiR-190a-5p abundance was significantly lower in the circulation of type 2 diabetic patients with reduced function compared to those with normal kidney function. In an independent cohort of patients with chronic kidney disease of diverse aetiology, miR-190a-5p abundance predicted disease progression in individuals with no or moderate albuminuria ( < 300 mg/mmol). miR-190a-5p expression in kidney biopsy tissue correlated with the level of miR-190a-5p in the circulation and with estimated glomerular filtration rate, tubular mass and negatively with histological fibrosis. Administration of a miR-190a-5p mimic in a murine ischaemia-reperfusion injury model in male mice reduced tubular injury and fibrosis and increased expression of genes associated with tubular health. Our analyses suggest that miR-190a-5p is a biomarker of tubular cell health, low circulating levels may predict chronic kidney disease progression independent of existing risk factors and strategies to preserve miR-190a-5p may be an effective treatment for restoring tubular cell health following kidney injury.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-10-15
DOI
https://doi.org/10.1038/s41467-025-64168-6
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low circulating miR-190a-5p predicts progression of chronic kidney disease

David Simpson, Callum Sutherland, Jinnan Zang, David A. Ferenbach et al.
Nature Communications
MicroRNA in disease regulation
article

Low circulating miR-190a-5p predicts progression of chronic kidney disease

David Simpson, Callum Sutherland, Jinnan Zang, David A. Ferenbach, David Baird, Patrick Barry Mark, Oliver Teenan, Gareth J. McKay, Ryan Wong, Laura Denby, Jeremy Hughes, Jamie P. Traynor, Katie Connor, Bryan R. Conway, Alexander P. Maxwell, Carolynn Cairns, Rachel Bell, Maximilian Reck
article en

Abstract

MicroRNAs may act as diagnostic and prognostic biomarkers of chronic kidney disease and are functionally important in disease pathogenesis. To identify novel microRNA biomarkers, we performed small RNA-sequencing on plasma from individuals with type 2 diabetes, with and without chronic kidney disease. MiR-190a-5p abundance was significantly lower in the circulation of type 2 diabetic patients with reduced function compared to those with normal kidney function. In an independent cohort of patients with chronic kidney disease of diverse aetiology, miR-190a-5p abundance predicted disease progression in individuals with no or moderate albuminuria ( < 300 mg/mmol). miR-190a-5p expression in kidney biopsy tissue correlated with the level of miR-190a-5p in the circulation and with estimated glomerular filtration rate, tubular mass and negatively with histological fibrosis. Administration of a miR-190a-5p mimic in a murine ischaemia-reperfusion injury model in male mice reduced tubular injury and fibrosis and increased expression of genes associated with tubular health. Our analyses suggest that miR-190a-5p is a biomarker of tubular cell health, low circulating levels may predict chronic kidney disease progression independent of existing risk factors and strategies to preserve miR-190a-5p may be an effective treatment for restoring tubular cell health following kidney injury.

Nature CommunicationsVol. 16(1)
Queen's University Belfast (GB), University of Ulster (GB), Royal Victoria Hospital (GB), Centre for Inflammation Research (GB), Queen Elizabeth University Hospital (GB), University of Glasgow (GB), University of Edinburgh (GB)
Kidney Research UK, Queen's University Belfast, Queen's University, Medical Research Council
Openalex Percentile: Top 64%
MicroRNA in disease regulation
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.