The profiles of microRNAs from urinary extracellular vesicles (EVs) prepared by various isolation methods and their correlation with serum EV microRNAs

Sungjin Park, Kiyoung Lee, Ie Byung Park, Nan Hee Kim, Seongcheol Cho, Won Jong Rhee, Yujin Oh, Jimin Choi, Seungyoon Nam, Dae Ho Lee

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Aims: MicroRNAs (miRNAs) that circulate in biological fluids are frequently enclosed in extracellular vesicles (EVs). However, urinary EVs and their cargo miRNAs have not been systematically studied according to their EV isolation methods. Methods: In type 2 diabetes mellitus persons with diabetic nephropathy (n = 4), we compared miRNA species in urine EVs prepared by ultracentrifugation (UC), qEV original size exclusion column (qEV), ExoQuick-TC Plus (ExoQuick), and ultrafiltration using Amicon Ultra centrifugal filter devices (Amicons) 10 K and 100 K. EV miRNAs were profiled by next-generation sequencing (NGS). Additionally, we evaluated the correlations of EV miRNA expression between the urine and serum samples isolated by UC. Results: From each of 100 ml of urine, the UC method yielded the highest number of EV miRNA species (233 ± 37.3), with the ExoQuick yielded the lowest (103 ± 17.4). Urine EV miRNA profiles were highly correlated between UC, qEV, ExoQuick and Amicon 10 K methods. EV miRNA profiles between the urine and serum samples showed variable correlations between the patients (paired sample number = 3, r = 0.39–0.72). Conclusions: UC, qEV, ExoQuick, and Amicon 10 K are acceptable for urinary EV isolation to profile miRNAs. Urine- and serum-derived EV miRNA profiles have variable correlations depending on specific patients.

Original languageEnglish
Article number108010
JournalDiabetes Research and Clinical Practice
Volume160
DOIs
Publication statusPublished - 2020 Feb

Keywords

  • Biomarker
  • Diabetic nephropathy
  • Extracellular vesicle
  • Serum
  • Urine
  • microRNA

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Endocrinology

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