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Updated: Jun 17, 2026

Isolation, Characterization, and Proteomic Analysis of Plasma-Derived Extracellular Vesicles for Cardiovascular Biomarker Discovery
Published on: January 31, 2025
Analysis of plasma extracellular vesicles in normal-weight and overweight type 2 diabetes mellitus using multimodal
Ugur Parlatan1, Aayan Nilesh Patel2, Hulya Torun1
1BioAcoustic MEMS in Medicine BAMM Laboratory, Canary Center, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, USA.
Aims:
To characterize subtype-associated heterogeneity in type 2 diabetes mellitus (T2DM), particularly normal-weight diabetes, using extracellular vesicle (EV)-associated molecular features in a clinically stratified cohort.
Methods:
EV-enriched isolates were obtained from plasma using ExoTIC and validated by transmission electron microscopy, nanoparticle tracking analysis, flow cytometry, and Western blotting. EV-enriched isolates from Asian normal-weight (A-NWD), Asian overweight (A-OWD), Non-Hispanic White normal-weight (W-NWD), and Non-Hispanic White overweight (W-OWD) T2DM patients were analyzed by multimodal surface-enhanced Raman spectroscopy (SERS; n = 65) and EV-RNA sequencing (n = 39).
Results:
SERS identified subgroup-associated spectral variation across BMI- and race/ethnicity-stratified groups in this cohort. EV-RNA sequencing identified exploratory differential microRNA (miRNA) expression patterns, with higher miR-208a and miR-132 in A-OWD and higher miR-484 in A-NWD, representing prioritized candidates for future validation. Unsupervised analyses also showed partially overlapping EV-associated molecular features between A-NWD and W-OWD, suggesting that uniform BMI thresholds may not fully capture EV-associated molecular heterogeneity across populations.
Conclusions:
Multimodal EV profiling identified subgroup-associated spectral and exploratory miRNA features in clinically stratified T2DM and provides a framework for studying diabetes heterogeneity, including molecular patterns associated with normal-weight diabetes.
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