Architectural trends in the human normal and bicuspid aortic valve leaflet and its relevance to valve disease.
Architectural trends in the human normal and bicuspid aortic valve leaflet and its relevance to valve disease.
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DOI：
10.1007/s10439-014-0973-0
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发表时间：
2014-05
影响因子：
3.8
通讯作者：
Sacks, Michael S.
中科院分区：
文献类型：
--
作者：
Aggarwal, Ankush;Ferrari, Giovanni;Joyce, Erin;Daniels, Michael J.;Sainger, Rachana;Gorman, Joseph H., III;Gorman, Robert;Sacks, Michael S.
关键词：
二尖瓣主动脉瓣（AV）是最常见的心脏先天性异常，已被发现是发生钙化性AV疾病的重要危险因素。然而，疾病发展的机制仍不清楚。在这项研究中，我们量化了人类正常和双尖叶小叶在疾病早期的结构。利用一种新的基于样条的技术，从这些单叶图中生成平均纤维结构图。有趣的是，我们在统计上发现了正常和双尖瓣之间不同和一致的区域结构。观察到的微观结构的规律性是一个令人惊讶的发现，特别是对于病理BAV小叶，这是任何预测瓣膜疾病数学模型的重要基石。相反，我们发现从BAV小叶中分离的瓣膜间质细胞在体外显示出与正常AV小叶相同的钙化途径。这一结果表明，分离后的vic并没有本质上的不同，外部特征，如微观结构异常和血流改变可能是BAV患者加速钙化的主要原因。
The bicuspid aortic valve (AV) is the most common cardiac congenital anomaly and has been found to be a significant risk factor for developing calcific AV disease. However, the mechanisms of disease development remain unclear. In this study we quantified the structure of human normal and bicuspid leaflets in the early disease stage. From these individual leaflet maps average fiber structure maps were generated using a novel spline based technique. Interestingly, we found statistically different and consistent regional structures between the normal and bicuspid valves. The regularity in the observed microstructure was a surprising finding, especially for the pathological BAV leaflets and is an essential cornerstone of any predictive mathematical models of valve disease. In contrast, we determined that isolated valve interstitial cells from BAV leaflets show the same in vitro calcification pathways as those from the normal AV leaflets. This result suggests the VICs are not intrinsically different when isolated, and that external features, such as abnormal microstructure and altered flow may be the primary contributors in the accelerated calcification experienced by BAV patients.
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影响因子：
4.6
作者：
Joyce, Erinn M.;Liao, Jun;Schoen, Frederick J.;Mayer, John E., Jr.;Sacks, Michael S.
通讯作者：
Sacks, Michael S.
影响因子：
2.7
作者：
MORAN, PAP
通讯作者：
MORAN, PAP
影响因子：
37.8
作者：
Roberts, WC;Ko, JM
通讯作者：
Ko, JM
影响因子：
5.7
作者：
Schaefer, B. M.;Lewin, M. B.;Otto, C. M.
通讯作者：
Otto, C. M.
影响因子：
3.7
作者：
Evangelista, Artur
通讯作者：
Evangelista, Artur