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

David P. Baird, Jinnan Zang, Katie L. Connor, Oliver Teenan, Maximilian Reck, Carolynn Cairns, Callum Sutherland, Rachel M. B. Bell, Jamie P. Traynor, Ryan Wong, David A. Ferenbach, Jeremy Hughes, Patrick B. Mark, Alexander P. Maxwell, Gareth J. McKay, David A. Simpson, Bryan R. Conway and Laura Denby ()
Additional contact information
David P. Baird: University of Edinburgh
Jinnan Zang: Royal Victoria Hospital
Katie L. Connor: University of Edinburgh
Oliver Teenan: University of Edinburgh
Maximilian Reck: University of Edinburgh
Carolynn Cairns: University of Edinburgh
Callum Sutherland: University of Edinburgh
Rachel M. B. Bell: University of Edinburgh
Jamie P. Traynor: Queen Elizabeth University Hospital
Ryan Wong: Queen’s University Belfast
David A. Ferenbach: University of Edinburgh
Jeremy Hughes: University of Edinburgh
Patrick B. Mark: Queen Elizabeth University Hospital
Alexander P. Maxwell: Royal Victoria Hospital
Gareth J. McKay: Royal Victoria Hospital
David A. Simpson: Queen’s University Belfast
Bryan R. Conway: University of Edinburgh
Laura Denby: University of Edinburgh

Nature Communications, 2025, vol. 16, issue 1, 1-15

Abstract: 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 (

Date: 2025
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DOI: 10.1038/s41467-025-64168-6

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