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Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals
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 stabilit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329217/ https://www.ncbi.nlm.nih.gov/pubmed/34341426 http://dx.doi.org/10.1038/s41598-021-95082-8 |
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author | Erozenci, Leyla A. Piersma, Sander R. Pham, Thang V. Bijnsdorp, Irene V. Jimenez, Connie R. |
author_facet | Erozenci, Leyla A. Piersma, Sander R. Pham, Thang V. Bijnsdorp, Irene V. Jimenez, Connie R. |
author_sort | Erozenci, Leyla A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8329217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83292172021-08-04 Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals Erozenci, Leyla A. Piersma, Sander R. Pham, Thang V. Bijnsdorp, Irene V. Jimenez, Connie R. Sci Rep Article 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. Nature Publishing Group UK 2021-08-02 /pmc/articles/PMC8329217/ /pubmed/34341426 http://dx.doi.org/10.1038/s41598-021-95082-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Erozenci, Leyla A. Piersma, Sander R. Pham, Thang V. Bijnsdorp, Irene V. Jimenez, Connie R. Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals |
title | Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals |
title_full | Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals |
title_fullStr | Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals |
title_full_unstemmed | Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals |
title_short | Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals |
title_sort | longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329217/ https://www.ncbi.nlm.nih.gov/pubmed/34341426 http://dx.doi.org/10.1038/s41598-021-95082-8 |
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