Cargando…

A method of separating extracellular vesicles from blood shows potential clinical translation, and reveals extracellular vesicle cargo gremlin-1 as a diagnostic biomarker

Extracellular vesicles (EVs) have potential as minimally invasive biomarkers. However, the methods most commonly used for EV retrieval rely on ultracentrifugation, are time-consuming, and unrealistic to translate to standard-of-care. We sought a method suitable for EV separation from blood that coul...

Descripción completa

Detalles Bibliográficos
Autores principales: McNamee, Niamh, Daly, Róisín, Crown, John, O'Driscoll, Lorraine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605358/
https://www.ncbi.nlm.nih.gov/pubmed/34800917
http://dx.doi.org/10.1016/j.tranon.2021.101274
_version_ 1784602161870536704
author McNamee, Niamh
Daly, Róisín
Crown, John
O'Driscoll, Lorraine
author_facet McNamee, Niamh
Daly, Róisín
Crown, John
O'Driscoll, Lorraine
author_sort McNamee, Niamh
collection PubMed
description Extracellular vesicles (EVs) have potential as minimally invasive biomarkers. However, the methods most commonly used for EV retrieval rely on ultracentrifugation, are time-consuming, and unrealistic to translate to standard-of-care. We sought a method suitable for EV separation from blood that could be used in patient care. Sera from breast cancer patients and age-matched controls (n = 27 patients; n = 36 controls) were analysed to compare 6 proposed EV separation methods. The EVs were then characterised on 8 parameters. The selected method was subsequently applied to independent cohorts of sera (n = 20 patients; n = 20 controls), as proof-of-principle, investigating EVs’ gremlin-1 cargo. Three independent runs with each method were very reproducible, within each given method. All isolates contained EVs, although they varied in quantity and purity. Methods that require ultracentrifugation were not superior for low volumes of sera typically available in routine standard-of-care. A CD63/CD81/CD9-coated immunobead-based method was most suitable based on EV markers' detection and minimal albumin and lipoprotein contamination. Applying this method to independent sera cohorts, EVs and their gremlin-1 cargo were at significantly higher amounts for breast cancer patients compared to controls. In conclusion, CD63/CD81/CD9-coated immunobeads may enable clinical utility of blood-based EVs as biomarkers.
format Online
Article
Text
id pubmed-8605358
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Neoplasia Press
record_format MEDLINE/PubMed
spelling pubmed-86053582021-11-26 A method of separating extracellular vesicles from blood shows potential clinical translation, and reveals extracellular vesicle cargo gremlin-1 as a diagnostic biomarker McNamee, Niamh Daly, Róisín Crown, John O'Driscoll, Lorraine Transl Oncol Original Research Extracellular vesicles (EVs) have potential as minimally invasive biomarkers. However, the methods most commonly used for EV retrieval rely on ultracentrifugation, are time-consuming, and unrealistic to translate to standard-of-care. We sought a method suitable for EV separation from blood that could be used in patient care. Sera from breast cancer patients and age-matched controls (n = 27 patients; n = 36 controls) were analysed to compare 6 proposed EV separation methods. The EVs were then characterised on 8 parameters. The selected method was subsequently applied to independent cohorts of sera (n = 20 patients; n = 20 controls), as proof-of-principle, investigating EVs’ gremlin-1 cargo. Three independent runs with each method were very reproducible, within each given method. All isolates contained EVs, although they varied in quantity and purity. Methods that require ultracentrifugation were not superior for low volumes of sera typically available in routine standard-of-care. A CD63/CD81/CD9-coated immunobead-based method was most suitable based on EV markers' detection and minimal albumin and lipoprotein contamination. Applying this method to independent sera cohorts, EVs and their gremlin-1 cargo were at significantly higher amounts for breast cancer patients compared to controls. In conclusion, CD63/CD81/CD9-coated immunobeads may enable clinical utility of blood-based EVs as biomarkers. Neoplasia Press 2021-11-18 /pmc/articles/PMC8605358/ /pubmed/34800917 http://dx.doi.org/10.1016/j.tranon.2021.101274 Text en © 2021 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research
McNamee, Niamh
Daly, Róisín
Crown, John
O'Driscoll, Lorraine
A method of separating extracellular vesicles from blood shows potential clinical translation, and reveals extracellular vesicle cargo gremlin-1 as a diagnostic biomarker
title A method of separating extracellular vesicles from blood shows potential clinical translation, and reveals extracellular vesicle cargo gremlin-1 as a diagnostic biomarker
title_full A method of separating extracellular vesicles from blood shows potential clinical translation, and reveals extracellular vesicle cargo gremlin-1 as a diagnostic biomarker
title_fullStr A method of separating extracellular vesicles from blood shows potential clinical translation, and reveals extracellular vesicle cargo gremlin-1 as a diagnostic biomarker
title_full_unstemmed A method of separating extracellular vesicles from blood shows potential clinical translation, and reveals extracellular vesicle cargo gremlin-1 as a diagnostic biomarker
title_short A method of separating extracellular vesicles from blood shows potential clinical translation, and reveals extracellular vesicle cargo gremlin-1 as a diagnostic biomarker
title_sort method of separating extracellular vesicles from blood shows potential clinical translation, and reveals extracellular vesicle cargo gremlin-1 as a diagnostic biomarker
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605358/
https://www.ncbi.nlm.nih.gov/pubmed/34800917
http://dx.doi.org/10.1016/j.tranon.2021.101274
work_keys_str_mv AT mcnameeniamh amethodofseparatingextracellularvesiclesfrombloodshowspotentialclinicaltranslationandrevealsextracellularvesiclecargogremlin1asadiagnosticbiomarker
AT dalyroisin amethodofseparatingextracellularvesiclesfrombloodshowspotentialclinicaltranslationandrevealsextracellularvesiclecargogremlin1asadiagnosticbiomarker
AT crownjohn amethodofseparatingextracellularvesiclesfrombloodshowspotentialclinicaltranslationandrevealsextracellularvesiclecargogremlin1asadiagnosticbiomarker
AT odriscolllorraine amethodofseparatingextracellularvesiclesfrombloodshowspotentialclinicaltranslationandrevealsextracellularvesiclecargogremlin1asadiagnosticbiomarker
AT mcnameeniamh methodofseparatingextracellularvesiclesfrombloodshowspotentialclinicaltranslationandrevealsextracellularvesiclecargogremlin1asadiagnosticbiomarker
AT dalyroisin methodofseparatingextracellularvesiclesfrombloodshowspotentialclinicaltranslationandrevealsextracellularvesiclecargogremlin1asadiagnosticbiomarker
AT crownjohn methodofseparatingextracellularvesiclesfrombloodshowspotentialclinicaltranslationandrevealsextracellularvesiclecargogremlin1asadiagnosticbiomarker
AT odriscolllorraine methodofseparatingextracellularvesiclesfrombloodshowspotentialclinicaltranslationandrevealsextracellularvesiclecargogremlin1asadiagnosticbiomarker