医学
小RNA
泌尿系统
肾
病理
内科学
泌尿科
生物
生物化学
基因
作者
Seo Jung‐Woo,Yu Ho Lee,Miji Kim,Yang gyun Kim,Sangho Lee,Jin Sug Kim,Hyeon Seok Hwang,Kyung Hwan Jeong,Hye Yun Jeong,Soyoung Lee,Dong Ho Yang,Ju-Young Moon
标识
DOI:10.1681/asn.20203110s1317b
摘要
Background: Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease worldwide. Although histological severity of DKD is a well-established predictor of adverse renal outcomes, investigations on the identification of non-invasive biomarkers that can reflect intrarenal status are scarce. The aim of this study was to discover urinary exosomal miRNA biomarkers of DKD and to examine their associations with the degree of various pathologic injury scores. Methods: We collected and analyzed urinary samples obtained from 95 patients with biopsy-proven DKD and 32 healthy controls. The candidate microRNAs of DKD were selected based on the analysis of GEO dataset (GPL22945 and GPL24120) and public microRNA databases (miRTarBase, TargetScan, microRNA). Urinary exosomes were extracted by column-based isolation kit, and the levels of selected candidate microRNAs were measured by quantitative real-time polymerase chain reaction. Results: Mean estimated glomerular filtration rate and urinary protein-to-creatinine ratio of enrolled DKD patients were 46.0 mL/min/1.73 m2 and 6.8 g/g creatinine, respectively. Upon the analysis of public dataset, we identified 11 candidate microRNAs for DKD, whose expression in urinary exosomes were all significantly higher in patients with DKD compared to controls. In particular, urinary exosomal miR-30a-5p and miR-335-3p levels showed positive correlation with the degree of interstitial inflammation and arterial hyalinosis, respectively. There was no significant association between the remaining microRNAs and the degree of glomerular injury, tubulointerstitial fibrosis, or arteriosclerosis. Finally, we found significant correlation between urinary protein-tocreatinine ratio and the levels of urinary exosomal miR-98-5p. Conclusions: Urinary exosomal microRNAs could reflect the degree of intrarenal pathologic status in patients with diabetic kidney disease.
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