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Benchmarking blood collection tubes and processing intervals for extracellular vesicle performance metrics |
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| Author: | Dhondt, Bert1,2,3; Pinheiro, Cláudio1,2; Geeurickx, Edward1,2; |
| Organizations: |
1Laboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium 2Cancer Research Institute Ghent, Ghent, Belgium 3Department of Urology, Ghent University Hospital, Ghent, Belgium
4Laboratory of Experimental Clinical Chemistry, Amsterdam UCM, location AMC, University of Amsterdam, Amsterdam, The Netherlands
5Vesicle Observation Centre, Amsterdam UCM, location AMC, University of Amsterdam, Amsterdam, The Netherlands 6Department of Biomedical Engineering and Physics, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands 7OncoRNALab, Department of Biomolecular Medicine, Ghent University Hospital, Ghent, Belgium 8Biocenter Oulu, Department of Pathology, Oulu University Hospital, University of Oulu, Oulu, Finland 9Department of Biochemistry, University of Turku, Turku, Finland 10Illumina, Inc., San Diego, California, USA |
| Format: | article |
| Version: | published version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 4.5 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe20230906120234 |
| Language: | English |
| Published: |
Informa,
2023
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| Publish Date: | 2023-09-06 |
| Description: |
AbstractThe analysis of extracellular vesicles (EV) in blood samples is under intense investigation and holds the potential to deliver clinically meaningful biomarkers for health and disease. Technical variation must be minimized to confidently assess EV-associated biomarkers, but the impact of pre-analytics on EV characteristics in blood samples remains minimally explored. We present the results from the first large-scale EV Blood Benchmarking (EVBB) study in which we systematically compared 11 blood collection tubes (BCT; six preservation and five non-preservation) and three blood processing intervals (BPI; 1, 8 and 72 h) on defined performance metrics (n = 9). The EVBB study identifies a significant impact of multiple BCT and BPI on a diverse set of metrics reflecting blood sample quality, ex-vivo generation of blood-cell derived EV, EV recovery and EV-associated molecular signatures. The results assist the informed selection of the optimal BCT and BPI for EV analysis. The proposed metrics serve as a framework to guide future research on pre-analytics and further support methodological standardization of EV studies. see all
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| Series: |
Journal of extracellular vesicles |
| ISSN: | 2001-3078 |
| ISSN-E: | 2001-3078 |
| ISSN-L: | 2001-3078 |
| Volume: | 12 |
| Issue: | 5 |
| Article number: | e12315 |
| DOI: | 10.1002/jev2.12315 |
| OADOI: | https://oadoi.org/10.1002/jev2.12315 |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
3111 Biomedicine |
| Subjects: | |
| Funding: |
This work was supported by the Fund for Scientific Spearheads of Ghent University Hospital, Concerted Research Actions from Ghent University, “Stichting tegen Kanker,” the Fund for Scientific Research-Flanders, and “Kom op tegen Kanker (Stand up to Cancer), the Flemisch cancer society”. |
| Copyright information: |
© 2023 The Authors. Journal of Extracellular Vesicles published by Wiley Periodicals, LLC on behalf of the International Society for Extracellular Vesicles. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |