Beyar Rafael
Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel.
Ann N Y Acad Sci. 2005 Jun;1047:1-12. doi: 10.1196/annals.1341.001.
The classic cardiac research programs revolved around measurable properties such as pressures, work done, vascular blood flow, electrical propagation, and other such parameters that defined the global heart functions in health and decease. Consistently, the first Henry Goldberg Workshop, held in Haifa in 1984, focused on the interactions between cardiac mechanics, electrical activation, perfusion, and metabolism of the whole heart. Questions focused on the macroscale cardiac function and performance. These studies involved engineering science, simulation, and modeling tools that were essential for the understanding of the complex interactions within the cardiac system. Three-dimensional imaging, ventricular structure, fiber mechanics, circulation and cardiovascular flow, electrical propagation, and blood pumping were all major foci of research at that time. However, it was soon obvious that in order to understand organ level characteristics, one must explore the complex cellular and intracellular control mechanisms; these became the foci of our subsequent workshops. Better understanding of organ level performance required integrated studies of organ and tissue structure and function with genetic, molecular, and cellular characteristics, including cellular communication and ionic and molecular signaling. Analysis of the cardiac system thus depends on continuous probing of the heart system with modern measurement techniques and on integrating data and acquired knowledge with analytical models, constantly evolving to match reality.
经典的心脏研究项目围绕可测量的特性展开,如压力、做功、血管血流量、电传导以及其他定义健康和疾病状态下整体心脏功能的参数。1984年在海法举办的首届亨利·戈德堡研讨会始终聚焦于心脏力学、电激活、灌注和全心代谢之间的相互作用。问题集中在宏观尺度的心脏功能和性能上。这些研究涉及工程科学、模拟和建模工具,对于理解心脏系统内的复杂相互作用至关重要。三维成像、心室结构、纤维力学、循环和心血管血流、电传导以及血液泵血都是当时研究的主要焦点。然而,很快就明显看出,为了理解器官水平的特征,必须探索复杂的细胞和细胞内控制机制;这些成为了我们后续研讨会的焦点。更好地理解器官水平的性能需要对器官和组织结构与功能以及遗传、分子和细胞特征进行综合研究,包括细胞通讯以及离子和分子信号传导。因此,对心脏系统的分析依赖于用现代测量技术不断探究心脏系统,并将数据和所获知识与分析模型相结合,且模型要不断发展以匹配实际情况。