Proteomic analysis of the extracellular matrix of human atherosclerotic plaques shows marked changes between plaque types

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Cardiovascular disease is the leading cause of death, with atherosclerosis the major underlying cause. While often asymptomatic for decades, atherosclerotic plaque destabilization and rupture can arise suddenly and cause acute arterial occlusion or peripheral embolization resulting in myocardial infarction, stroke and lower limb ischaemia. As extracellular matrix (ECM) remodelling is associated with plaque instability, we hypothesized that the ECM composition would differ between plaques. We analyzed atherosclerotic plaques obtained from 21 patients who underwent carotid surgery following recent symptomatic carotid artery stenosis. Plaques were solubilized using a new efficient, single-step approach. Solubilized proteins were digested to peptides, and analyzed by liquid chromatography-mass spectrometry using data-independent acquisition. Identification and quantification of 4498 plaque proteins was achieved, including 354 ECM proteins, with unprecedented coverage and high reproducibility. Multidimensional scaling analysis and hierarchical clustering indicate two distinct clusters, which correlate with macroscopic plaque morphology (soft/unstable versus hard/stable), ultrasound classification (echolucent versus echogenic) and the presence of hemorrhage/ulceration. We identified 714 proteins with differential abundances between these groups. Soft/unstable plaques were enriched in proteins involved in inflammation, ECM remodelling, and protein degradation (e.g. matrix metalloproteinases, cathepsins). In contrast, hard/stable plaques contained higher levels of ECM structural proteins (e.g. collagens, versican, nidogens, biglycan, lumican, proteoglycan 4, mineralization proteins). These data indicate that a single-step proteomics method can provide unique mechanistic insights into ECM remodelling and inflammatory mechanisms within plaques that correlate with clinical parameters, and help rationalize plaque destabilization. These data also provide an approach towards identifying biomarkers for individualized risk profiling of atherosclerosis.
OriginalsprogEngelsk
Artikelnummer100141
TidsskriftMatrix Biology Plus
Vol/bind21
Antal sider14
ISSN2590-0285
DOI
StatusUdgivet - 2024

Bibliografisk note

Funding Information:
This work was supported by grants from the Novo Nordisk Foundation (NNF13OC0004294 and NNF20SA0064214 to M.J.D.); and the Novo Nordisk Foundation-University of Copenhagen BRIDGE scheme (to L.G.L.).

Funding Information:
This work was supported by grants from the Novo Nordisk Foundation ( NNF13OC0004294 and NNF20SA0064214 to M.J.D.); and the Novo Nordisk Foundation - University of Copenhagen BRIDGE scheme (to L.G.L.).

Publisher Copyright:
© 2024 The Author(s)

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