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DOI 10.64898/2026.03.14.711704

Медицинская библиотека · bioRxiv : the preprint server for biology · 2026

Analysis of Plasma Extracellular Vesicles in Normal-Weight and Overweight Type 2 Diabetes Mellitus Using Multimodal SERS and RNA-Seq.

Parlatan Ugur, Patel Aayan Nilesh, Torun Hulya, Karim Asma Humayra, Ozen Mehmet Ozgun, Palaniappan Latha, Demirci Utkan

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Аннотация

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

EVs were isolated from plasma using ExoTIC and validated by transmission electron microscopy, nanoparticle tracking analysis, flow cytometry, and Western blotting. EVs 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 fingerprints that distinguished the four BMI- and race/ethnicity-defined groups in this cohort. EV-RNA sequencing revealed differential microRNA expression across subgroups, with higher miR-208a and miR-132 in A-OWD and higher miR-484 in A-NWD. Unsupervised analyses also showed partially overlapping EV-associated molecular features between A-NWD and W-OWD, suggesting that BMI-based subgrouping alone may not fully capture shared metabolic states.

CONCLUSIONS

Multimodal EV profiling identified subgroup-associated spectral and miRNA features in clinically stratified T2DM and provides a framework for studying diabetes heterogeneity, including molecular patterns associated with normal-weight diabetes.

Для цитирования: Parlatan Ugur, Patel Aayan Nilesh, Torun Hulya, Karim Asma Humayra, Ozen Mehmet Ozgun, Palaniappan Latha, Demirci Utkan. Analysis of Plasma Extracellular Vesicles in Normal-Weight and Overweight Type 2 Diabetes Mellitus Using Multimodal SERS and RNA-Seq.. bioRxiv : the preprint server for biology. 2026. DOI: 10.64898/2026.03.14.711704.
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