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时空多组学图谱绘制揭示了主动脉瓣疾病相关的分子图谱和调控网络。

Spatiotemporal Multi-Omics Mapping Generates a Molecular Atlas of the Aortic Valve and Reveals Networks Driving Disease.

机构信息

Center for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine (F.S., A.H., S.G., M.C.B., L.H.L., H.H., J.D.H., P.V., T.P., M.A.R., M.A., S.A.S., E.A.).

Channing Division of Network Medicine (A.H., A.S., M.A.).

出版信息

Circulation. 2018 Jul 24;138(4):377-393. doi: 10.1161/CIRCULATIONAHA.117.032291.

Abstract

BACKGROUND

No pharmacological therapy exists for calcific aortic valve disease (CAVD), which confers a dismal prognosis without invasive valve replacement. The search for therapeutics and early diagnostics is challenging because CAVD presents in multiple pathological stages. Moreover, it occurs in the context of a complex, multi-layered tissue architecture; a rich and abundant extracellular matrix phenotype; and a unique, highly plastic, and multipotent resident cell population.

METHODS

A total of 25 human stenotic aortic valves obtained from valve replacement surgeries were analyzed by multiple modalities, including transcriptomics and global unlabeled and label-based tandem-mass-tagged proteomics. Segmentation of valves into disease stage-specific samples was guided by near-infrared molecular imaging, and anatomic layer-specificity was facilitated by laser capture microdissection. Side-specific cell cultures were subjected to multiple calcifying stimuli, and their calcification potential and basal/stimulated proteomes were evaluated. Molecular (protein-protein) interaction networks were built, and their central proteins and disease associations were identified.

RESULTS

Global transcriptional and protein expression signatures differed between the nondiseased, fibrotic, and calcific stages of CAVD. Anatomic aortic valve microlayers exhibited unique proteome profiles that were maintained throughout disease progression and identified glial fibrillary acidic protein as a specific marker of valvular interstitial cells from the spongiosa layer. CAVD disease progression was marked by an emergence of smooth muscle cell activation, inflammation, and calcification-related pathways. Proteins overrepresented in the disease-prone fibrosa are functionally annotated to fibrosis and calcification pathways, and we found that in vitro, fibrosa-derived valvular interstitial cells demonstrated greater calcification potential than those from the ventricularis. These studies confirmed that the microlayer-specific proteome was preserved in cultured valvular interstitial cells, and that valvular interstitial cells exposed to alkaline phosphatase-dependent and alkaline phosphatase-independent calcifying stimuli had distinct proteome profiles, both of which overlapped with that of the whole tissue. Analysis of protein-protein interaction networks found a significant closeness to multiple inflammatory and fibrotic diseases.

CONCLUSIONS

A spatially and temporally resolved multi-omics, and network and systems biology strategy identifies the first molecular regulatory networks in CAVD, a cardiac condition without a pharmacological cure, and describes a novel means of systematic disease ontology that is broadly applicable to comprehensive omics studies of cardiovascular diseases.

摘要

背景

目前尚无治疗钙化性主动脉瓣疾病(CAVD)的药物疗法,如果不进行侵入性瓣膜置换,患者预后极差。由于 CAVD 存在多个病理阶段,因此寻找治疗方法和早期诊断具有挑战性。此外,CAVD 发生于复杂的、多层次的组织架构中,富含丰富的细胞外基质表型,以及独特的、高度可塑性和多能的常驻细胞群体。

方法

对 25 例因瓣膜置换术而获得的狭窄主动脉瓣进行了多种方式的分析,包括转录组学和全局非标记和基于标签的串联质量标记蛋白质组学。通过近红外分子成像指导瓣膜分为特定疾病阶段的样本,通过激光捕获显微切割实现解剖层特异性。对侧特异性细胞培养物进行多种钙化刺激,并评估其钙化潜力和基础/刺激的蛋白质组。构建分子(蛋白质-蛋白质)相互作用网络,并确定其核心蛋白和疾病关联。

结果

未患病、纤维化和钙化 CAVD 阶段之间的全球转录和蛋白质表达特征不同。解剖主动脉瓣微层表现出独特的蛋白质组谱,这些谱在整个疾病进展过程中得以维持,并确定胶质纤维酸性蛋白为来自海绵状层的瓣膜间质细胞的特异性标志物。CAVD 疾病进展的特征是平滑肌细胞激活、炎症和钙化相关途径的出现。在易患病的纤维层中过度表达的蛋白质在功能上被注释为纤维化和钙化途径,我们发现,在体外,纤维层衍生的瓣膜间质细胞比心室层衍生的细胞具有更大的钙化潜力。这些研究证实,培养的瓣膜间质细胞中保留了微层特异性蛋白质组,并且暴露于碱性磷酸酶依赖性和非依赖性钙化刺激的瓣膜间质细胞具有不同的蛋白质组谱,两者均与整个组织的蛋白质组谱重叠。对蛋白质-蛋白质相互作用网络的分析发现,与多种炎症和纤维化疾病密切相关。

结论

空间和时间分辨率高的多组学、网络和系统生物学策略确定了首个 CAVD 分子调控网络,CAVD 是一种尚无药物治疗方法的心脏疾病,并描述了一种新颖的系统疾病本体论方法,该方法广泛适用于心血管疾病的综合组学研究。

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