Benchmarking blood collection tubes and processing intervals for extracellular vesicle performance metrics

Author:

Dhondt Bert123ORCID,Pinheiro Cláudio12ORCID,Geeurickx Edward12,Tulkens Joeri12,Vergauwen Glenn12,Van Der Pol Edwin456,Nieuwland Rienk4,Decock Anneleen27ORCID,Miinalainen Ilkka8,Rappu Pekka9,Schroth Gary10,Kuersten Scott10,Vandesompele Jo27,Mestdagh Pieter27,Lumen Nicolaas23,De Wever Olivier12,Hendrix An12

Affiliation:

1. Laboratory of Experimental Cancer Research Department of Human Structure and Repair Ghent University Ghent Belgium

2. Cancer Research Institute Ghent Ghent Belgium

3. Department of Urology Ghent University Hospital Ghent Belgium

4. Laboratory of Experimental Clinical Chemistry, Amsterdam UCM, location AMC University of Amsterdam Amsterdam The Netherlands

5. Vesicle Observation Centre, Amsterdam UCM, location AMC University of Amsterdam Amsterdam The Netherlands

6. Department of Biomedical Engineering and Physics, Academic Medical Centre University of Amsterdam Amsterdam The Netherlands

7. OncoRNALab, Department of Biomolecular Medicine Ghent University Hospital Ghent Belgium

8. Biocenter Oulu, Department of Pathology Oulu University Hospital University of Oulu Oulu Finland

9. Department of Biochemistry University of Turku Turku Finland

10. Illumina, Inc. San Diego California USA

Abstract

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.

Funder

Universiteit Gent

Fonds Wetenschappelijk Onderzoek

Stichting Tegen Kanker

Universitair Ziekenhuis Gent

Kom op tegen Kanker

Publisher

Wiley

Subject

Cell Biology,Histology

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