» Articles » PMID: 34473170

Surface Enhanced Raman Scattering of Extracellular Vesicles for Cancer Diagnostics Despite Isolation Dependent Lipoprotein Contamination

Overview
Journal Nanoscale
Specialty Biotechnology
Date 2021 Sep 2
PMID 34473170
Citations 21
Authors
Affiliations
Soon will be listed here.
Abstract

Given the emerging diagnostic utility of extracellular vesicles (EVs), it is important to account for non-EV contaminants. Lipoprotein present in EV-enriched isolates may inflate particle counts and decrease sensitivity to biomarkers of interest, skewing chemical analyses and perpetuating downstream issues in labeling or functional analysis. Using label free surface enhanced Raman scattering (SERS), we confirm that three common EV isolation methods (differential ultracentrifugation, density gradient ultracentrifugation, and size exclusion chromatography) yield variable lipoprotein content. We demonstrate that a dual-isolation method is necessary to isolate EVs from the major classes of lipoprotein. However, combining SERS analysis with machine learning assisted classification, we show that the disease state is the main driver of distinction between EV samples, and largely unaffected by choice of isolation. Ultimately, this study describes a convenient SERS assay to retain accurate diagnostic information from clinical samples by overcoming differences in lipoprotein contamination according to isolation method.

Citing Articles

Shining a light on fluorescent EV dyes: Evaluating efficacy, specificity and suitability by nano-flow cytometry.

Brealey J, Lees R, Tempest R, Law A, Guarnerio S, Maani R J Extracell Biol. 2024; 3(10):e70006.

PMID: 39399294 PMC: 11465455. DOI: 10.1002/jex2.70006.


A critical systematic review of extracellular vesicle clinical trials.

Mizenko R, Feaver M, Bozkurt B, Lowe N, Nguyen B, Huang K J Extracell Vesicles. 2024; 13(10):e12510.

PMID: 39330928 PMC: 11428870. DOI: 10.1002/jev2.12510.


Plasma-derived extracellular vesicles (EVs) as biomarkers of sepsis in burn patients via label-free Raman spectroscopy.

OToole H, Lowe N, Arun V, Kolesov A, Palmieri T, Tran N J Extracell Vesicles. 2024; 13(9):e12506.

PMID: 39300768 PMC: 11529045. DOI: 10.1002/jev2.12506.


Extracellular vesicles may provide an alternative detoxification pathway during skeletal muscle myoblast ageing.

Fernandez-Rhodes M, Buchan E, Gagnon S, Qian J, Gethings L, Lees R J Extracell Biol. 2024; 3(8):e171.

PMID: 39169919 PMC: 11336379. DOI: 10.1002/jex2.171.


Deep autoencoder as an interpretable tool for Raman spectroscopy investigation of chemical and extracellular vesicle mixtures.

Kazemzadeh M, Martinez-Calderon M, Otupiri R, Artuyants A, Lowe M, Ning X Biomed Opt Express. 2024; 15(7):4220-4236.

PMID: 39022543 PMC: 11249694. DOI: 10.1364/BOE.522376.


References
1.
Boucher J, Nguyen T, Sparks D . Lipoprotein electrostatic properties regulate hepatic lipase association and activity. Biochem Cell Biol. 2007; 85(6):696-708. DOI: 10.1139/o07-137. View

2.
Driedonks T, Nolte-t Hoen E . Circulating Y-RNAs in Extracellular Vesicles and Ribonucleoprotein Complexes; Implications for the Immune System. Front Immunol. 2019; 9:3164. PMC: 6340977. DOI: 10.3389/fimmu.2018.03164. View

3.
Onodi Z, Pelyhe C, Nagy C, Brenner G, Almasi L, Kittel A . Isolation of High-Purity Extracellular Vesicles by the Combination of Iodixanol Density Gradient Ultracentrifugation and Bind-Elute Chromatography From Blood Plasma. Front Physiol. 2018; 9:1479. PMC: 6206048. DOI: 10.3389/fphys.2018.01479. View

4.
Shin H, Seo D, Choi Y . Extracellular Vesicle Identification Using Label-Free Surface-Enhanced Raman Spectroscopy: Detection and Signal Analysis Strategies. Molecules. 2020; 25(21). PMC: 7664897. DOI: 10.3390/molecules25215209. View

5.
Cvjetkovic A, Lotvall J, Lasser C . The influence of rotor type and centrifugation time on the yield and purity of extracellular vesicles. J Extracell Vesicles. 2014; 3. PMC: 3967015. DOI: 10.3402/jev.v3.23111. View