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

Analyst. 2024 Jun 10;149(12):3416-3424. doi: 10.1039/d4an00296b.

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.

MeSH terms

  • Biomarkers / urine
  • Extracellular Vesicles* / chemistry
  • Extracellular Vesicles* / metabolism
  • Humans
  • Male
  • Mass Spectrometry / methods
  • Prostatic Neoplasms* / urine
  • Proteomics* / methods
  • Temperature
  • Urine Specimen Collection* / methods

Substances

  • Biomarkers