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Multiomics of Tissue Extracellular Vesicles Identifies Unique Modulators of Atherosclerosis and Calcific Aortic Valve Stenosis
Open accessPublished version of a preprint
Abstract
BACKGROUND: Fewer than 50% of patients who develop aortic valve calcification have concomitant atherosclerosis, implying differential pathogenesis. Although circulating extracellular vesicles (EVs) act as biomarkers of cardiovascular diseases, tissue-entrapped EVs are associated with early mineralization, but their cargoes, functions, and contributions to disease remain unknown. METHODS: Disease stage–specific proteomics was performed on human carotid endarterectomy specimens (n=16) and stenotic aortic valves (n=18). Tissue EVs were isolated from human carotid arteries (normal, n=6; diseased, n=4) and aortic valves (normal, n=6; diseased, n=4) by enzymatic digestion, (ultra)centrifugation, and a 15-fraction density gradient validated by proteomics, CD63-immunogold electron microscopy, and nanoparticle tracking analysis. Vesiculomics, comprising vesicular proteomics and small RNA-sequencing, was conducted on tissue EVs. TargetScan identified microRNA targets. Pathway network analyses prioritized genes for validation in primary human carotid artery smooth muscle cells and aortic valvular interstitial cells. RESULTS: Disease progression drove significant convergence ( P <0.0001) of carotid artery plaque and calcified aortic valve proteomes (2318 proteins). Each tissue also retained a unique subset of differentially enriched proteins (381 in plaques; 226 in valves; q<0.05). Vesicular gene ontology terms increased 2.9-fold ( P <0.0001) among proteins modulated by disease in both tissues. Proteomics identified 22 EV markers in tissue digest fractions. Networks of proteins and microRNA targets changed by disease progression in both artery and valve EVs revealed shared involvement in intracellular signaling and cell cycle regulation. Vesiculomics identified 773 proteins and 80 microRNAs differentially enriched by disease exclusively in artery or valve EVs (q<0.05); multiomics integration found tissue-specific EV cargoes associated with procalcific Notch and Wnt signaling in carotid arteries and aortic valves, respectively. Knockdown of tissue-specific EV-derived molecules FGFR2 , PPP2CA , and ADAM17 in human carotid artery smooth muscle cells and WNT5A , APP , and APC in human aortic valvular interstitial cells significantly modulated calcification. CONCLUSIONS: The first comparative proteomics study of human carotid artery plaques and calcified aortic valves identifies unique drivers of atherosclerosis versus aortic valve stenosis and implicates EVs in advanced cardiovascular calcification. We delineate a vesiculomics strategy to isolate, purify, and study protein and RNA cargoes from EVs entrapped in fibrocalcific tissues. Integration of vesicular proteomics and transcriptomics by network approaches revealed novel roles for tissue EVs in modulating cardiovascular disease.
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“Of the 261 prioritized genes, 127 (47%) were expressed in the AV as evidenced by having either a transcript or a protein product observed in proteomics or transcriptomic data of the human AV18,19 or with genetically predicted expression substantially modifying risk of AS in TWAS using AV tissue transcriptomes.”
From Genomic and transcriptomic analyses of aortic stenosis enhance therapeutic target discovery and disease prediction (2026) · cites this paper as [18]
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Flagged first, then by citations
Research works printed but not linked: 1
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Cited by
Sorted by citations
Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis
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BackgroundCarotid artery atherosclerosis: mechanisms of instability and clinical implications
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Metadata
- Authors
- Blaser, M. C., Buffolo, F., Halu, A., Turner, M. E., Schlotter, F., Higashi, H., Pantano, L., Clift, C. L., Saddic, L. A., Atkins, S. K., Rogers, M. A., Pham, T., Vromman, A., Shvartz, E., Sukhova, G. K., Monticone, S., Camussi, G., Robson, S. C., Body, S. C., Muehlschlegel, J. D., Singh, S. A., Aikawa, M., & Aikawa, E.
- Affiliations
- Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Department of Medicine (M.C.B., F.B., A.H., M.E.T., F.S., H.H., C.L.C., L.A.S., S.K.A., M.A.R., T.P., S.A.S., M.A., E.A.)
- Harvard University (US)
- Channing Division of Network Medicine, Department of Medicine (A.H., M.A.)
- University of Turin (IT)
- Beth Israel Deaconess Medical Center (US)
- Boston University (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Aikawa, Elena
- ORCID
- Blaser, Mark C.
- Buffolo, Fabrizio
- Halu, Arda
- Turner, Mandy E.
- Schlotter, Florian
- Higashi, Hideyuki
- Pantano, Lorena
- Clift, Cassandra L.
- Atkins, Samantha K.
- Rogers, Maximillian A.
- Pham, Tan
- Vromman, Amélie
- Sukhova, Galina K.
- Monticone, Silvia
- Camussi, Giovanni
- Robson, Simon C.
- Body, Simon C.
- Muehlschlegel, Jochen D.
- Singh, Sasha A.
- Aikawa, Masanori
- Aikawa, Elena
- Venue
- Circulation
- Published
- 2023-08-22
- Volume
- 148
- Issue
- 8
- Pages
- 661-678
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- PMC
- PMC10527599
- OpenAlex
- W4383710497
- Cited by
- 114
- References
- 92
- Citations by year
- 2026: 38 · 2025: 36 · 2024: 33 · 2023: 1
- FWCI
- 9.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Circulation (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
- Funders
- American Heart Association (18CSA34080399)
- Amgen
- AstraZeneca
- Sanofi
- Brigham and Women's Hospital
- Harvard University (UL 1TR002541)
- Harvard Catalyst (UL1TR002541, 1TR002541)
- Harvard T.H. Chan School of Public Health
- Regeneron Pharmaceuticals
- Ionis Pharmaceuticals
- IFM Therapeutics
- Kowa Company
- XBiotech
- Esperion Therapeutics
- National Institutes of Health (UL1TR002541, R01HL141719, HL080472, 1TR002541, HL134892)
- National Heart, Lung, and Blood Institute (K25HL150336, HL080472, R01HL150401, R01HL149998, R01HL136431, R01HL147095, R01HL080472, R01HL141917, R01HL134892)
- National Center for Advancing Translational Sciences (1TR002541)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
- Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Keywords
- atherosclerosis, calcific aortic stenosis, aortic valve calcification, carotid plaque, microRNA, Notch signaling, Wnt signaling, FGFR2, PPP2CA, ADAM17, Wnt5a, APP, APC, valvular interstitial cells, extracellular vesicle biomarkers, disease progression, mineralization, multi-omics integration
- MeSH terms
- Extracellular Vesicles, Multiomics, Aortic Valve, Aortic Valve Stenosis, Calcinosis, Cells, Cultured, Humans, MicroRNAs, Atherosclerosis, Wnt Signaling Pathway
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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