Abstract
Aims: Stratifying renal damage in type 2 diabetes is challenging due to overlapping features between diabetic nephropathy (DN) and non-diabetic renal disease (NDRD). While miR-27b-3p modulates kidney fibrosis in DN through the lysine63 ubiquitination pathway, its upstream regulation and diagnostic relevance remain unclear. Methods: In a biopsy-verified cohort of 231 chronic kidney disease (CKD) patients with and without type 2 diabetes, we investigated whether AOPEP promoter SNPs drive alternative splicing affecting intronic miR-27b-3p expression. We also assessed the diagnostic utility of combining these biomarkers with clinical parameters, such as glycated albumin (GA), to distinguish DN from NDRD. Results: The rs10761364 minor allele was associated with reduced urinary miR-27b-3p and AOPEP splicing that excluded exons hosting the miR-23b/27b/24 cluster. This pattern, observed in vivo and under hyperglycemia in vitro, led to elevated AOPEP protein isoforms. A model combining rs10761364, GA, and urinary miR-27b-3p showed high diagnostic accuracy (AUC up to 0.93) in discriminating DN from NDRD. miR-27b-3p inversely correlated with GA, and GA-based models outperformed those using HbA1c. Conclusion: We identify a genotype- and glucose-dependent mechanism regulating miR-27b-3p via AOPEP splicing and propose a biopsy-anchored, non-invasive biomarker panel (rs10761364, GA, miR-27b-3p) to differentiate DN from NDRD, supporting personalized nephrology care.
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | 1-12 |
| Numero di pagine | 12 |
| Rivista | Diabetes Research and Clinical Practice |
| Volume | 229 |
| Numero di pubblicazione | 229 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2025 |
OSS delle Nazioni Unite
Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile
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SDG 3 Salute e benessere
All Science Journal Classification (ASJC) codes
- Medicina Interna
- Endocrinologia, Diabete e Metabolismo
- Endocrinologia
Keywords
- CKD in type 2 diabetes
- Glycaemic control
- miRNAs
- Non-invasive biomarkers
- Patient stratification
- Personalised medicine
- SNPs
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