Silva Luiz Eduardo V, Rodrigues Fernanda Luciano, de Oliveira Mauro, Salgado Hélio Cesar, Fazan Rubens
Department of Physiology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, SP, Brazil.
Exp Physiol. 2015 Feb 1;100(2):156-63. doi: 10.1113/expphysiol.2014.082222. Epub 2015 Jan 6.
What is the central question of this study? New measurements for cardiovascular complexity, such as detrended fluctuation analysis (DFA) and multiscale entropy (MSE), have been shown to predict cardiovascular outcomes. Given that cardiovascular diseases are accompanied by autonomic imbalance and decreased baroreflex sensitivity, the central question is: do baroreceptors contribute to cardiovascular complexity? What is the main finding and its importance? Sinoaortic denervation altered both DFA scaling exponents and MSE, indicating that both short- and long-term mechanisms of complexity are altered in sinoaortic denervated mice, resulting in a loss of physiological complexity. These results suggest that the baroreflex is a key element in the complex structures involved in heart rate variability regulation. Recently, heart rate (HR) oscillations have been recognized as complex behaviours derived from non-linear processes. Physiological complexity theory is based on the idea that healthy systems present high complexity, i.e. non-linear, fractal variability at multiple scales, with long-range correlations. The loss of complexity in heart rate variability (HRV) has been shown to predict adverse cardiovascular outcomes. Based on the idea that most cardiovascular diseases are accompanied by autonomic imbalance and a decrease in baroreflex sensitivity, we hypothesize that the baroreflex plays an important role in complex cardiovascular behaviour. Mice that had been subjected to sinoaortic denervation (SAD) were implanted with catheters in the femoral artery and jugular vein 5 days prior to the experiment. After recording the baseline arterial pressure (AP), pulse interval time series were generated from the intervals between consecutive values of diastolic pressure. The complexity of the HRV was determined using detrended fluctuation analysis and multiscale entropy. The detrended fluctuation analysis α1 scaling exponent (a short-term index) was remarkably decreased in the SAD mice (0.79 ± 0.06 versus 1.13 ± 0.04 for the control mice), whereas SAD slightly increased the α2 scaling exponent (a long-term index; 1.12 ± 0.03 versus 1.04 ± 0.02 for control mice). In the SAD mice, the total multiscale entropy was decreased (13.2 ± 1.3) compared with the control mice (18.9 ± 1.4). In conclusion, fractal and regularity structures of HRV are altered in SAD mice, affecting both short- and long-term mechanisms of complexity, suggesting that the baroreceptors play a considerable role in the complex structure of HRV.
本研究的核心问题是什么?已证明心血管复杂性的新测量方法,如去趋势波动分析(DFA)和多尺度熵(MSE),可预测心血管疾病的预后。鉴于心血管疾病伴有自主神经失衡和压力反射敏感性降低,核心问题是:压力感受器是否对心血管复杂性有影响?主要发现及其重要性是什么?窦主动脉去神经支配改变了DFA标度指数和MSE,表明在窦主动脉去神经支配的小鼠中,复杂性的短期和长期机制均发生改变,导致生理复杂性丧失。这些结果表明,压力反射是参与心率变异性调节的复杂结构中的关键要素。最近,心率(HR)振荡已被认为是源自非线性过程的复杂行为。生理复杂性理论基于这样一种观点,即健康系统呈现出高复杂性,即在多个尺度上具有非线性、分形变异性以及长程相关性。心率变异性(HRV)复杂性的丧失已被证明可预测不良心血管疾病预后。基于大多数心血管疾病伴有自主神经失衡和压力反射敏感性降低这一观点,我们假设压力反射在复杂的心血管行为中起重要作用。在实验前5天,将接受窦主动脉去神经支配(SAD)的小鼠在股动脉和颈静脉植入导管。记录基线动脉压(AP)后,根据舒张压连续值之间的间隔生成脉搏间隔时间序列。使用去趋势波动分析和多尺度熵来确定HRV的复杂性。SAD小鼠的去趋势波动分析α1标度指数(一个短期指标)显著降低(0.79±0.06,而对照小鼠为1.13±0.04),而SAD使α2标度指数(一个长期指标)略有增加(1.12±0.03,对照小鼠为1.04±0.02)。与对照小鼠(18.9±1.4)相比,SAD小鼠的总多尺度熵降低(13.2±1.3)。总之,SAD小鼠HRV的分形和规则结构发生改变,影响了复杂性的短期和长期机制,表明压力感受器在HRV的复杂结构中起重要作用。