Issue 12, 2024

Assessment of urine sample collection and processing variables for extracellular vesicle-based proteomics

Abstract

Extracellular vesicles (EVs) in urine are a promising source for developing non-invasive biomarkers. However, urine concentration and content are highly variable and dynamic, and actual urine collection and handling often is nonideal. Furthermore, patients such as those with prostate diseases have challenges in sample collection due to difficulties in holding urine at designated time points. Here, we simulated the actual situation of clinical sample collection to examine the stability of EVs in urine under different circumstances, including urine collection time and temporary storage temperature, as well as daily urine sampling under different diet conditions. EVs were isolated using functionalized EVtrap magnetic beads and characterized by nanoparticle tracking analysis (NTA), western blotting, electron microscopy, and mass spectrometry (MS). EVs in urine remained relatively stable during temporary storage for 6 hours at room temperature and for 12 hours at 4 °C, while significant fluctuations were observed in EV amounts from urine samples collected at different time points from the same individuals, especially under certain diets. Sample normalization with creatinine reduced the coefficient of variation (CV) values among EV samples from 17% to approximately 6% and facilitated downstream MS analyses. Finally, based on the results, we applied them to evaluate potential biomarker panels in prostate cancer by data-independent acquisition (DIA) MS, presenting the recommendation that can facilitate biomarker discovery with nonideal handling conditions.

Graphical abstract: Assessment of urine sample collection and processing variables for extracellular vesicle-based proteomics

Supplementary files

Article information

Article type
Paper
Submitted
24 Feb 2024
Accepted
03 Apr 2024
First published
16 Apr 2024
This article is Open Access
Creative Commons BY license

Analyst, 2024,149, 3416-3424

Assessment of urine sample collection and processing variables for extracellular vesicle-based proteomics

G. Zhang, Y. Ding, H. Zhang, D. Wei, Y. Liu, J. Sun, Z. Xie, W. A. Tao and Y. Zhu, Analyst, 2024, 149, 3416 DOI: 10.1039/D4AN00296B

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