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.).
Channing Division of Network Medicine, Department of Medicine (A.H., M.A.).
Circulation. 2023 Aug 22;148(8):661-678. doi: 10.1161/CIRCULATIONAHA.122.063402. Epub 2023 Jul 10.
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.
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.
Disease progression drove significant convergence (<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 (<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 , , and in human carotid artery smooth muscle cells and , , and in human aortic valvular interstitial cells significantly modulated calcification.
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.
只有不到 50%的发生主动脉瓣钙化的患者同时患有动脉粥样硬化,这意味着发病机制不同。虽然循环细胞外囊泡 (EVs) 可作为心血管疾病的生物标志物,但组织内陷的 EVs 与早期矿化有关,但它们的货物、功能及其对疾病的贡献尚不清楚。
对 16 例人类颈动脉内膜切除术标本(n=16)和 18 例狭窄主动脉瓣(n=18)进行了疾病阶段特异性蛋白质组学研究。通过酶消化、(超速)离心和 15 个分数密度梯度(经蛋白质组学、CD63-免疫金电子显微镜和纳米颗粒跟踪分析验证)从人颈动脉(正常,n=6;患病,n=4)和主动脉瓣(正常,n=6;患病,n=4)中分离组织 EV。对组织 EV 进行了包含囊泡蛋白质组学和小 RNA 测序的囊泡组学研究。TargetScan 鉴定了 microRNA 靶标。通路网络分析优先对原发性人颈动脉平滑肌细胞和主动脉瓣间质细胞中验证的基因进行了验证。
疾病进展导致颈动脉斑块和钙化主动脉瓣蛋白质组学(2318 种蛋白质)显著趋同(<0.0001)。每种组织还保留了一组独特的差异富集蛋白(斑块中 381 种;瓣膜中 226 种;q<0.05)。疾病在两种组织中调节的囊泡基因本体论术语增加了 2.9 倍(<0.0001)。蛋白质组学在组织消化部分鉴定了 22 种 EV 标志物。在动脉和瓣膜 EV 中,疾病进展引起的蛋白质和 microRNA 靶标网络的变化表明,细胞内信号转导和细胞周期调节的共同参与。囊泡组学在动脉或瓣膜 EV 中仅鉴定出疾病特异性差异富集的 773 种蛋白质和 80 种 microRNA(q<0.05);多组学整合发现与颈动脉粥样硬化和主动脉瓣狭窄相关的组织特异性 EV 货物分别与 Notch 和 Wnt 信号通路相关。在人颈动脉平滑肌细胞中敲低组织特异性 EV 衍生分子、、和 ,以及在人主动脉瓣间质细胞中敲低、、和 ,均显著调节钙化。
首次对人类颈动脉斑块和钙化主动脉瓣进行了比较蛋白质组学研究,确定了动脉粥样硬化与主动脉瓣狭窄的独特驱动因素,并表明 EVs 参与了心血管疾病的晚期钙化。我们描述了一种囊泡组学策略,用于分离、纯化和研究纤维钙化组织中包裹的 EV 的蛋白质和 RNA 货物。通过网络方法整合囊泡蛋白质组学和转录组学揭示了组织 EV 在调节心血管疾病中的新作用。