Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals

Leyla A. Erozenci, Sander R. Piersma, Thang V. Pham, Irene V. Bijnsdorp*, Connie R. Jimenez*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The protein content of urinary extracellular vesicles (EVs) is considered to be an attractive non-invasive biomarker source. However, little is known about the consistency and variability of urinary EV proteins within and between individuals over a longer time-period. Here, we evaluated the stability of the urinary EV proteomes of 8 healthy individuals at 9 timepoints over 6 months using data-independent-acquisition mass spectrometry. The 1802 identified proteins had a high correlation amongst all samples, with 40% of the proteome detected in every sample and 90% detected in more than 1 individual at all timepoints. Unsupervised analysis of top 10% most variable proteins yielded person-specific profiles. The core EV-protein-interaction network of 516 proteins detected in all measured samples revealed sub-clusters involved in the biological processes of G-protein signaling, cytoskeletal transport, cellular energy metabolism and immunity. Furthermore, gender-specific expression patterns were detected in the urinary EV proteome. Our findings indicate that the urinary EV proteome is stable in longitudinal samples of healthy subjects over a prolonged time-period, further underscoring its potential for reliable non-invasive diagnostic/prognostic biomarkers.
Original languageEnglish
Article number15629
JournalScientific Reports
Volume11
Issue number1
DOIs
Publication statusPublished - 1 Dec 2021

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