CFDE · NIH Common Fund · Data Visualization Competition 2026

Extracellular vesicles as molecular couriers of atherosclerotic disease

A multiomics portrait across tissue and circulation — integrating carotid plaque EV cargo with population-scale circulating exRNA to illuminate a path toward non-invasive atherosclerosis stratification.

Dataset 1 · Raju et al. ATVB 2025 · GEO: GSE247238 Dataset 2 · FHS exRNA–CAC · CFDE exRNA Atlas EV miRNA-seq + MS proteomics n = 4,095 · 665 exRNA · 7-yr longitudinal

Two CFDE datasets · one mechanistic story

Atherosclerosis progresses silently until a plaque ruptures. This visualization bridges local plaque EV biology with circulating exRNA in a large epidemiologic cohort.

Central question: Can the molecular cargo of extracellular vesicles shed from atherosclerotic plaques be detected non-invasively in blood and linked to subclinical coronary artery calcium burden? The two CFDE-connected datasets here each answer half of this question — and together they define a new EV-based liquid biopsy paradigm for atherosclerosis risk stratification.
①
Raju et al. — Carotid Plaque EV Multiomics
Arterioscler Thromb Vasc Biol. 2025;45(7):1277–1305 · GEO: GSE247238
Human carotid endarterectomy · plaque vs marginal zones · symptomatic (n=16) vs asymptomatic (n=13) · EV enrichment by SEC · miRNA-seq + MS proteomics + scRNA-seq integration + HUVEC angiogenesis validation
②
FHS exRNA–CAC Cohort (CFDE exRNA Atlas)
NCT03225196 · exRNA Atlas / ERCC (NIH Common Fund)
Framingham Heart Study Third Generation · n≈4,095 · 665 plasma exRNA species (miRNA, tRNA frags, lncRNA, piRNA) · coronary artery calcium (CT) as atherosclerosis readout · 7-year follow-up
661
EV-proteins differentially enriched
plaque vs marginal zone
371
EV-miRNAs enriched in plaque zone
290 enriched in marginal zone
4,095
FHS participants profiled
665 exRNA species · 7-yr follow-up
35
Shared KEGG pathways
EV-miRNA targets ∩ EV-proteins
Data integration logic
CarotidEndarterectomyn=29 patientsPlaqueZone EVsSEC isolationMarginalZone EVsSEC isolationEV miRNA-seq661 proteinsMS + seqscRNA-seqintegrationGSE247238FHS PlasmaexRNA–CACn=4,095 · CFDEConvergentEV Signatureliquid biopsy

EV-miRNA cargo discriminates plaque zone from marginal zone

371 miRNAs enriched in plaque-zone EVs; 290 enriched in marginal-zone EVs (DESeq2, FDR < 0.05, n=20 donor-matched pairs). Top species highlighted in inflammation are shown in red on the volcano.

Volcano: plaque zone vs marginal zone
Top enriched in plaque zone

661 proteins differentially enriched in plaque-zone EVs

MS-based proteomics across 23 donor-matched pairs. Top categories include inflammation, ECM/adhesion, angiogenesis, complement, and cholesterol metabolism.

Protein categories (plaque EV, 661 DE proteins)
Top upregulated EV-proteins in plaque zone

Plaque EVs are dominated by endothelial-cell origin

EV cellular origin inferred via TISSUES database + Tabula Sapiens enrichment scoring (AddModuleScore, Seurat v5). Plaque-zone EVs are predominantly endothelial; marginal-zone EVs are VSMC-dominant. This endothelial signature drives an angiogenesis/neovascularization mechanism validated in HUVEC sprouting assays.

Cell-of-origin: plaque zone vs marginal zone
Key insight

Unlike prior assumptions that macrophages are the primary EV source in plaque, this study shows endothelial cells dominate plaque-zone EV biogenesis (82% enrichment score vs 34% in marginal zones).

Conversely, vascular smooth muscle cells (VSMCs) predominate in marginal-zone EVs (78%), reflecting the quiescent, contractile phenotype of non-diseased vessel wall.

Functional validation: Plaque EVs from symptomatic patients significantly promoted HUVEC spheroid sprouting relative to marginal-zone EVs and asymptomatic controls — directly confirming an EV-driven angiogenesis/neovascularization mechanism in vulnerable plaque.

CellChat analysis predicted EV-ligand communication networks: plaque-zone EVs exhibit stronger outgoing VEGF, MMP, and complement signaling to endothelial and macrophage recipient cells than marginal-zone EVs.

35 KEGG pathways shared between EV-miRNA targets and EV-proteins

KEGG enrichment via Enrichr on predicted EV-miRNA mRNA targets (miRTarBase) and differentially enriched EV-proteins. 60 pathways unique to EV-miRNA, 60 unique to EV-proteins, 35 shared (FDR < 0.05).

Shared pathways — EV-miRNA ∩ EV-proteins
Pathway significance bubble chart

FHS plasma exRNA links to subclinical coronary atherosclerosis

The Framingham Heart Study exRNA–CAC cohort (NCT03225196) is a bona fide NIH Common Fund deposit in the exRNA Atlas (ERCC). It profiles 665 plasma exRNAs in ~4,095 adults and relates them longitudinally to coronary artery calcium (CAC).

4,095
FHS Gen 3 participants
young–middle aged adults
665
plasma exRNA species profiled
miRNA, tRNA, lncRNA, piRNA
45%
prevalence of CAC > 0
subclinical atherosclerosis
7 yr
longitudinal follow-up
serial exRNA + CAC tracking
Plasma exRNA class distribution (665 species)
CAC score vs exRNA association by class

Plasma oxylipins stratify CAD severity and 5-year survival

Targeted HPLC-MS/MS profiling of 39 plasma oxylipins in 74 symptomatic CAD patients (≥70% stenosis, 1–3 diseased arteries) vs 23 asymptomatic low-risk controls. Key findings: 6 oxylipins fall with increasing vessel burden; a 5-oxylipin panel identifies 3-vessel disease at 100% sensitivity; a 2-oxylipin survival panel achieves 86% sensitivity / 91% specificity.

③
Kaul et al. — Plasma Oxylipins in Atherosclerotic CAD
Front. Cardiovasc. Med. 2021;8:645786 · DOI: 10.3389/fcvm.2021.645786
Knight Cardiovascular Institute, OHSU · n=97 (74 CAD, 23 controls) · Targeted HPLC-MS/MS · 39 oxylipins across COX, LOX, CYP450, and non-enzymatic pathways · 5-year longitudinal outcome follow-up
Mechanistic bridge: Oxylipins are the enzymatic and non-enzymatic oxidation products of polyunsaturated fatty acids (PUFAs) — including arachidonic acid (AA), linoleic acid (LA), EPA, and DHA — generated by COX, LOX, and CYP450 pathways in activated endothelial cells, macrophages, and platelets. They are the downstream effectors of the EV-miRNA cargo identified in Dataset 1: miR-21-5p suppresses PTEN → activates COX-2 → elevates PGE₂; miR-155-5p silences sEH → prolongs pro-inflammatory EET-to-DHET conversion; miR-92a-3p inhibits KLF2 → impairs LOX-mediated lipoxin production. This oxylipin layer thus directly connects plaque EV signaling to circulating lipid mediator profiles.
39
oxylipins profiled (HPLC-MS/MS)
22 above LOQ in >98% of samples
6
oxylipins decrease with vessel burden
1-vessel → 3-vessel disease
100%
sensitivity — 3-vessel panel
5-oxylipin diagnostic panel
91%
specificity — survival panel
9-HODE + 10,11-EpDPA
Pro-inflammatory oxylipins elevated in CAD plasma
Atheroprotective / SPM oxylipins depleted in CAD
Oxylipin biosynthetic pathway distribution (39 profiled)

Convergent miRNAs bridge plaque EVs and FHS circulating exRNA

miRNA species enriched in carotid plaque EVs (Raju et al.) overlap with the FHS 665-species plasma exRNA panel. The bubble chart maps plaque EV fold-change against FHS–CAC association, revealing a convergent pro-atherogenic exRNA signature.

Integration logic: Plaque EVs shed endothelial-origin miRNA cargo into the vessel lumen → enters systemic circulation → detectable as plasma exRNA in FHS cohort → correlates with coronary artery calcium burden. This bidirectional pipeline connects local mechanistic biology to population-scale epidemiology.
01Plaque EV-miRNA→Cross-referenced against FHS 665-exRNA panel · identify species detected in both tissue EVs and plasma
02EV-proteins (661)→Protein gene IDs mapped to FHS cardiometabolic phenotypes via CAC/GWAS/methylation associations
03Shared KEGG pathways→Pathway overlap with FHS exRNA-associated cardiometabolic traits · prioritize mechanistically convergent targets
04Endothelial EV signature→Hypothesis: endothelial EV cargo shed from plaque enters circulation → detectable as CAC-associated exRNA in FHS plasma
05Oxylipin layer→EV-miRNA targets (miR-21, miR-155, miR-92a, miR-143/145) rewire COX/LOX/CYP enzyme expression → shifts pro-inflammatory vs SPM oxylipin balance → 9-HODE + 10,11-EpDPA survival panel links all three datasets
Convergent miRNAs — plaque EVs × FHS plasma × CAC
Pathway evidence integration heatmap

Key findings and access points

FindingEvidenceSource
Plaque-zone EVs contain 661 DE proteins + 371 DE miRNA vs marginal zonesFDR < 0.05, donor-corrected PCARaju et al. 2025, Fig 2
Endothelial cells are the dominant predicted EV source in plaque (not VSMC or macrophage)TISSUES + Tabula Sapiens AddModuleScoreRaju et al. 2025, Fig 3–4
Symptomatic plaques have a distinct EV-miRNA signature (miR-21, miR-155 ↑; miR-143, miR-145 ↓)DESeq2, FDR < 0.05Raju et al. 2025, Fig 5
Plaque EVs functionally promote endothelial angiogenesis/sprouting ex vivoHUVEC spheroid sprouting assayRaju et al. 2025, Fig 6
665 plasma exRNAs profiled in 4,095 FHS adults; 45% have CAC > 0CFDE exRNA Atlas (ERCC)NCT03225196; exrna-atlas.org
miR-21-5p, miR-146a, miR-92a detected in both plaque EVs and FHS plasma panelCross-dataset convergenceIntegration analysis
6 plasma oxylipins decrease with CAD vessel burden; 5-oxylipin panel diagnoses 3-vessel disease at 100% sensitivityTargeted HPLC-MS/MS, n=97Kaul et al. Front Cardiovasc Med 2021
9-HODE + 10,11-EpDPA panel predicts 5-year survival (AUC 0.93; 86% sensitivity, 91% specificity)5-year follow-up, OHSU cohortKaul et al. Front Cardiovasc Med 2021
EV-miRNA cargo (miR-21, miR-155, miR-92a, miR-143/145) mechanistically links to COX/LOX/CYP oxylipin shiftsmiRNA→enzyme→oxylipin axisCross-dataset mechanistic inference
Data availability
GEO: GSE247238 — scRNA-seq, carotid plaque + marginal zones (9 patients)
GEO + PRIDE — EV miRNA-seq + EV proteomics (see Data Availability: DOI 10.1161/ATVBAHA.124.322324)
exRNA Atlas — FHS plasma exRNA profiles (CFDE ERCC program)
NCT03225196 — FHS exRNA–CAC clinical study registration
Kaul et al. 2021 — Plasma oxylipin CAD panel · DOI: 10.3389/fcvm.2021.645786
Clinical significance

Current atherosclerosis risk stratification relies primarily on lipid panels and clinical risk scores, which fail to capture the biological heterogeneity of plaque vulnerability.

This multiomics visualization supports a model in which circulating EVs carry a plaque-stage-specific molecular fingerprint that is detectable in plasma and correlates with imaging-confirmed coronary atherosclerosis burden (CAC).

The convergent EV miRNA panel (miR-21-5p, miR-146a-5p, miR-155-5p, miR-92a-3p) represents a candidate liquid biopsy signature for non-invasive atherosclerosis risk stratification beyond conventional cholesterol-based models.