Kiem Simon, Papenkort Stefan, Borsdorf Mischa, Böl Markus, Siebert Tobias
Department of Sport and Movement Science, University of Stuttgart, Stuttgart, Germany.
Institute of Mechanics and Adaptronics, Technische Universität Braunschweig, Brunswick, Germany.
Pflugers Arch. 2025 May;477(5):729-739. doi: 10.1007/s00424-025-03075-7. Epub 2025 Mar 22.
Mechanical organ models are crucial for understanding organ function and clinical applications. These models rely on input data regarding smooth muscle properties, typically gathered from experiments involving stimulations at different muscle lengths. However, reproducibility of these experimental results is a major challenge due to rapid changes in active and passive smooth muscle properties during the measurement period. Usually, preconditioning of the tissue is employed to ensure reproducible behavior in subsequent experiments, but this process itself alters the tissue's mechanical properties. To address this issue, three protocols (P1, P2, P3) without preconditioning were developed and compared to preserve the initial mechanical properties of smooth muscle tissue. Each protocol included five repetitive experimental cycles with stimulations at a long muscle length, varying in the number of stimulations at a short muscle length (P1: 0, P2: 1, P3: 2 stimulations). Results showed that P2 and P3 successfully reproduced the initial active force at a long length over five cycles, but failed to maintain the initial passive forces. Conversely, P1 was most effective in maintaining constant passive forces over the cycles. These findings are supported by existing adaptation models. Active force changes are primarily due to the addition or removal of contractile units in the contractile apparatus, while passive force changes mainly result from actin polymerization induced by contractions, leading to cytoskeletal stiffening. This study introduces a new method for obtaining reproducible smooth muscle parameters, offering a foundation for future research to replicate the mechanical properties of smooth muscle tissue without preconditioning.
机械器官模型对于理解器官功能和临床应用至关重要。这些模型依赖于关于平滑肌特性的输入数据,这些数据通常从涉及不同肌肉长度刺激的实验中收集。然而,由于在测量期间主动和被动平滑肌特性的快速变化,这些实验结果的可重复性是一个重大挑战。通常,采用组织预处理来确保后续实验中的可重复行为,但这个过程本身会改变组织的力学性能。为了解决这个问题,开发并比较了三种无需预处理的方案(P1、P2、P3),以保留平滑肌组织的初始力学性能。每个方案包括五个重复的实验周期,在长肌肉长度下进行刺激,短肌肉长度下的刺激次数不同(P1:0次,P2:1次,P3:2次刺激)。结果表明,P2和P3在五个周期内成功地在长长度下重现了初始主动力,但未能维持初始被动力。相反,P1在整个周期内最有效地维持了恒定的被动力。这些发现得到了现有适应模型的支持。主动力变化主要是由于收缩装置中收缩单元的添加或去除,而被动力变化主要是由于收缩诱导的肌动蛋白聚合,导致细胞骨架变硬。本研究引入了一种获得可重复平滑肌参数的新方法,为未来在不进行预处理的情况下复制平滑肌组织力学性能的研究提供了基础。