Direct isolation of circulating extracellular vesicles from blood for vascular risk profiling in type 2 diabetes mellitus.


Journal

Lab on a chip
ISSN: 1473-0189
Titre abrégé: Lab Chip
Pays: England
ID NLM: 101128948

Informations de publication

Date de publication:
29 06 2021
Historique:
pubmed: 28 5 2021
medline: 6 7 2021
entrez: 27 5 2021
Statut: ppublish

Résumé

Extracellular vesicles (EVs) are key mediators of communication among cells, and clinical utilities of EVs-based biomarkers remain limited due to difficulties in isolating EVs from whole blood reliably. We report a novel inertial-based microfluidic platform for direct isolation of nanoscale EVs (exosomes, 50 to 200 nm) and medium-sized EVs (microvesicles, 200 nm to 1 μm) from blood with high efficiency (three-fold increase in EV yield compared to ultracentrifugation). In a pilot clinical study of healthy (n = 5) and type 2 diabetes mellitus (T2DM, n = 9) subjects, we detected higher EV levels in T2DM patients (P < 0.05), and identified a subset of "high-risk" T2DM subjects with abnormally high (∼10-fold to 50-fold) amounts of platelet (CD41a+) or leukocyte-derived (CD45+) EVs. Our in vitro endothelial cell assay further revealed that EVs from "high-risk" T2DM subjects induced significantly higher vascular inflammation (ICAM-1 expression) (P < 0.05) as compared to healthy and non-"high-risk" T2DM subjects, reflecting a pro-inflammatory phenotype. Overall, the EV isolation tool is scalable, and requires less manual labour, cost and processing time. This enables further development of EV-based diagnostics, whereby a combined immunological and functional phenotyping strategy can potentially be used for rapid vascular risk stratification in T2DM.

Identifiants

pubmed: 34042931
doi: 10.1039/d1lc00333j
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2511-2523

Auteurs

Hui Min Tay (HM)

School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Block N3, 639798, Singapore. hwhou@ntu.edu.sg.

Sheng Yuan Leong (SY)

School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Block N3, 639798, Singapore. hwhou@ntu.edu.sg.

Xiaohan Xu (X)

School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Block N3, 639798, Singapore. hwhou@ntu.edu.sg.

Fang Kong (F)

School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, 637551, Singapore.

Megha Upadya (M)

School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, 637551, Singapore.

Rinkoo Dalan (R)

Endocrine and Diabetes, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, 308433, Singapore and Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Clinical Sciences Building, 308232, Singapore.

Chor Yong Tay (CY)

School of Material Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Block N4.1, 639798, Singapore. ssuresh@ntu.edu.sg.

Ming Dao (M)

School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, 637551, Singapore and Department of Material Science and Engineering, Massachusetts Institute of Technology, 182 Memorial Dr, Cambridge, MA 02142, USA.

Subra Suresh (S)

School of Material Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Block N4.1, 639798, Singapore. ssuresh@ntu.edu.sg.

Han Wei Hou (HW)

School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Block N3, 639798, Singapore. hwhou@ntu.edu.sg and Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Clinical Sciences Building, 308232, Singapore.

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Classifications MeSH