Driscoll Katherine, Balakrishnan Santosh, Janani G, Gogineni Hrishika, Good Alessandra, Huang Andrea, Leartprapun Nichaluk, Adie Steven G, Butcher Jonathan
Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
bioRxiv. 2025 Jun 26:2025.06.21.660489. doi: 10.1101/2025.06.21.660489.
Calcific aortic valve disease (CAVD) is a degenerative disease with wide prevalence in the aging population and a low survival rate after onset of symptoms, yet there are no effective pharmacological treatments. Many patients present to the clinic with symptoms at end-stages of CAVD, when the disease may be irreversible. The ability to identify and live-trace calcific lesion emergence in-vivo would allow for the identification of disease biomarkers and discovery of therapeutic targets at earlier, more treatable stages. In this work, we establish a new multimodal in-vitro CAVD platform consisting of lineage traced-VEC and VIC cells in a 3D model combined with live optical coherence and fluorescence microscopy to unravel VEC, VIC, and matrix transitional events during calcific lesion formation. We discover that fissuring of the endothelial monolayer combined with the formation of dense aggregates in adjacent regions is a key biomarker of the onset of lesion formation. This coincides with the formation of dense VIC and ECM conglomerates under endothelial aggregates, an additional biomarker of pathogenesis. Further, we discover that fibrotic tissue compaction is correlated with but not necessary for lesion formation. Additionally, we identify RhoA activation in disease-treated samples. We demonstrate that RhoA inhibition through ROCK, but not Rac1 inhibition, prevents delamination of the endothelial monolayer, fibrotic remodeling, and emergence of calcific lesions. Together, this work establishes a new longitudinal live-imaging platform that identifies emergent cell and matrix biological signatures of CAVD onset and enables the evaluation of therapeutic interventions.
钙化性主动脉瓣疾病(CAVD)是一种在老年人群中广泛流行的退行性疾病,症状出现后的生存率较低,然而目前尚无有效的药物治疗方法。许多患者在CAVD终末期出现症状时才就诊,此时疾病可能已不可逆转。能够在体内识别并实时追踪钙化病变的出现,将有助于在更早、更易治疗的阶段识别疾病生物标志物并发现治疗靶点。在这项研究中,我们建立了一个新的多模态体外CAVD平台,该平台由3D模型中的谱系追踪血管内皮细胞(VEC)和平滑肌细胞(VIC)组成,并结合实时光学相干和荧光显微镜,以揭示钙化病变形成过程中VEC、VIC和基质的转变事件。我们发现内皮单层的裂隙形成以及相邻区域致密聚集体的形成是病变形成起始的关键生物标志物。这与内皮聚集体下致密的VIC和细胞外基质(ECM)聚集体的形成同时发生,这是发病机制的另一个生物标志物。此外,我们发现纤维化组织压实与病变形成相关,但并非病变形成所必需。另外,我们在疾病处理样本中鉴定出RhoA激活。我们证明通过抑制Rho相关卷曲螺旋蛋白激酶(ROCK)抑制RhoA,而非抑制Rac1,可防止内皮单层的分层、纤维化重塑和钙化病变的出现。总之,这项研究建立了一个新的纵向实时成像平台,该平台可识别CAVD发病时出现的细胞和基质生物学特征,并能够评估治疗干预措施。