Campbell K B, Wu Y, Kirkpatrick R D, Slinker B K
Department of Veterinary and Comparative Anatomy, Washington State University, Pullman 99164-6520, USA.
Am J Physiol. 1997 Oct;273(4):H2044-61. doi: 10.1152/ajpheart.1997.273.4.H2044.
The objective was to determine the dynamics of contractile processes from pressure responses to small-amplitude, sinusoidal volume changes in the left ventricle of the beating heart. Hearts were isolated from 14 anesthetized rabbits and paced at 1 beats/s. Volume was perturbed sinusoidally at four frequencies (f) (25, 50, 76.9, and 100 Hz) and five amplitudes (0.50, 0.75, 1.00, 1.25, and 1.50% of baseline volume). A prominent component of the pressure response occurred at the f of perturbation [infrequency response, delta Pf(t)]. A model, based on cross-bridge mechanisms and containing both pre- and postpower stroke states, was constructed to interpret delta Pf(t). Model predictions were that delta Pf(t) consisted of two parts: a part with an amplitude rising and falling in proportion to the pressure around that which delta Pf(t) occurred [Pr(t)], and a part with an amplitude rising and falling in proportion to the derivative of Pr(t) with time. Statistical analysis revealed that both parts were significant. Additional model predictions concerning response amplitude and phase were also confirmed statistically. The model was further validated by fitting simultaneously to all delta Pf(t) over the full range of f and delta V in a given heart. Residual errors from fitting were small (R2 = 0.978) and were not systematically distributed. Elaborations of the model to include noncontractile series elastance and distortion-dependent cross-bridge detachment did not improve the ability to represent the data. We concluded that the model could be used to identify cross-bridge rate constants in the whole heart from responses to 25- to 100-Hz sinusoidal volume perturbations.
目的是通过对跳动心脏左心室小幅度正弦体积变化的压力响应来确定收缩过程的动力学。从14只麻醉兔中分离出心脏,并以1次/秒的频率起搏。在四个频率(f)(25、50、76.9和100赫兹)和五个幅度(基线体积的0.50%、0.75%、1.00%、1.25%和1.50%)下对体积进行正弦扰动。压力响应的一个突出成分出现在扰动频率处[频率响应,δPf(t)]。构建了一个基于横桥机制且包含动力冲程前和动力冲程后状态的模型,以解释δPf(t)。模型预测δPf(t)由两部分组成:一部分的幅度与δPf(t)出现时周围的压力成比例上升和下降[Pr(t)],另一部分的幅度与Pr(t)随时间的导数成比例上升和下降。统计分析表明这两部分都很显著。关于响应幅度和相位的其他模型预测也在统计上得到了证实。通过在给定心脏的整个f和δV范围内同时拟合所有δPf(t),进一步验证了该模型。拟合的残差误差很小(R2 = 0.978),且没有系统分布。对模型进行细化以纳入非收缩性串联弹性和变形依赖性横桥脱离并没有提高表示数据的能力。我们得出结论,该模型可用于根据对25至100赫兹正弦体积扰动的响应来识别全心的横桥速率常数。