Selected miRNAs in urinary extracellular vesicles show promise for non-invasive diagnostics of diabetic kidney disease
Authors: Barreiro Karina , Karttunen Jenni , Valo Erkka , Viippola Essi , Quintero Ileana , Käräjämäki Annemari , Rannikko Antti , Holthöfer Harry , Ganna Andrea , Sandholm Niina , Thorn Lena M. , Groop Per-Henrik , Tuomi Tiinamaija , Dwivedi Om Prakash , Puhka Maija 
Published: September 2024

Diabetic kidney disease is a growing health burden that lacks specific early non-invasive diagnostic procedures. To approach a solution for this clinical need, we sequenced microRNAs of urinary extracellular vesicles and performed biomarker discovery by small RNA sequencing in a type 1 diabetes cohort including males with and without albuminuria. The results were replicated by sequencing or qPCR in two independent cohorts and four previously published datasets including type 1 and 2 diabetes as well as both sexes. Non-diabetic and prostate cancer cohorts were used as additional controls and miRNAs changed due to preanalytical urine collection variables were excluded. Using these data, we additionally validated previously identified reference candidate miRNAs. Correlations with clinical parameters, receiver operating characteristic analysis, targeted mRNAs and pathways including integrated single cell data, and targeted circulating proteins from type 1 and 2 diabetes cohorts were analyzed. We pinpointed 6 stable microRNAs, 11 differentially expressed microRNAs, 9 target proteins and 16 DKD-associated pathways in individuals with diabetic kidney disease. Replication showed that the differentially expressed miRNAs in DKD were partly shared between diabetes subtypes and sexes with overall strongest evidence for miR-192-5p, miR-146a-5p, miR-486-5p, and miR-574-5p. Combination of these miRNAs with clinical variables showed potential to classify individuals with the fastest kidney function decline (sensitivity 0.75-1.00 and specificity 0.83-1.00) even in the normoalbuminuria group, thus holding the potential as early diagnostic markers. Altogether, the candidate microRNAs show specificity for diabetic kidney disease, identify declining kidney function, and target key kidney cell types, mRNAs, proteins, and pathogenic mechanisms.

Lay summary

Diabetic kidney disease (DKD) damages the kidneys severely. DKD progression differs between diabetes subtypes and sexes and currently the diagnosis comes too late when the kidney is already damaged. Thus, clinical care needs better and earlier diagnostic markers. Here we studied the microRNAs in urinary extracellular vesicles, small particles secreted actively by the kidney cells. We found 11 candidate microRNA markers for DKD. The discovery was made in males with type 1 diabetes, but some of the microRNAs were confirmed across type 1 and 2 diabetes, as well as female or combined sex populations. Altogether we studied over 250 samples. Analysis of miRNA’s regulatory pathways and correlations with clinical measurements in individuals with DKD suggest that some miRNAs may hold the potential as early diagnostic markers. Our findings could thus impact clinical practice by providing early and specific DKD diagnostic tools allowing effective care at an early DKD stage.