Evidence mapPaperPMID 41890049Full record

ArticlebioRxiv : the preprint server for biology2026

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

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

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ugur ParlatanBioAcoustic MEMS in Medicine BAMM Laboratory, Canary Center, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, USA.ORCID 0000-0001-7106-5993
Aayan Nilesh PatelDepartment of Cardiovascular Medicine, Stanford School of Medicine, Stanford, CA, USA.ORCID 0009-0000-6029-8900
Hulya TorunBioAcoustic MEMS in Medicine BAMM Laboratory, Canary Center, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, USA.ORCID 0000-0001-5939-4006
Asma Humayra KarimBioAcoustic MEMS in Medicine BAMM Laboratory, Canary Center, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, USA.
Mehmet Ozgun OzenBioAcoustic MEMS in Medicine BAMM Laboratory, Canary Center, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, USA.ORCID 0000-0003-4578-2598
Latha PalaniappanDepartment of Cardiovascular Medicine, Stanford School of Medicine, Stanford, CA, USA.ORCID 0000-0002-1245-665X
Utkan DemirciBioAcoustic MEMS in Medicine BAMM Laboratory, Canary Center, Department of Radiology, Stanford School of Medicine, Palo Alto, CA, USA.ORCID 0000-0003-2784-1590

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID41890049
PMCPMC13015447

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.