Miyabara Renata, Berg Karsten, Kraemer Jan F, Baltatu Ovidiu C, Wessel Niels, Campos Luciana A
Center of Innovation, Technology and Education (CITE), Anhembi Morumbi University - Laureate International UniversitiesSao Jose dos Campos, Brazil; Center of Innovation, Technology and Education (CITE), Camilo Castelo Branco UniversitySao Jose dos Campos, Brazil.
Institut für Physik, Humboldt-Universität zu Berlin Berlin, Germany.
Front Physiol. 2017 Jan 23;8:10. doi: 10.3389/fphys.2017.00010. eCollection 2017.
The aim of this study was to identify the most sensitive heart rate and blood pressure variability (HRV and BPV) parameters from a given set of well-known methods for the quantification of cardiovascular autonomic function after several autonomic blockades. Cardiovascular sympathetic and parasympathetic functions were studied in freely moving rats following peripheral muscarinic (methylatropine), β1-adrenergic (metoprolol), muscarinic + β1-adrenergic, α1-adrenergic (prazosin), and ganglionic (hexamethonium) blockades. Time domain, frequency domain and symbolic dynamics measures for each of HRV and BPV were classified through paired Wilcoxon test for all autonomic drugs separately. In order to select those variables that have a high relevance to, and stable influence on our target measurements (HRV, BPV) we used Fisher's Method to combine the -value of multiple tests. This analysis led to the following best set of cardiovascular variability parameters: The mean normal beat-to-beat-interval/value (HRV/BPV: meanNN), the coefficient of variation (cvNN = standard deviation over meanNN) and the root mean square differences of successive (RMSSD) of the time domain analysis. In frequency domain analysis the very-low-frequency (VLF) component was selected. From symbolic dynamics Shannon entropy of the word distribution (FWSHANNON) as well as POLVAR3, the non-linear parameter to detect intermittently decreased variability, showed the best ability to discriminate between the different autonomic blockades. Throughout a complex comparative analysis of HRV and BPV measures altered by a set of autonomic drugs, we identified the most sensitive set of informative cardiovascular variability indexes able to pick up the modifications imposed by the autonomic challenges. These indexes may help to increase our understanding of cardiovascular sympathetic and parasympathetic functions in translational studies of experimental diseases.
本研究的目的是从一组用于量化多次自主神经阻滞后心血管自主神经功能的知名方法中，确定最敏感的心率和血压变异性（HRV和BPV）参数。在自由活动的大鼠中，研究了外周毒蕈碱（甲基阿托品）、β1肾上腺素能（美托洛尔）、毒蕈碱+β1肾上腺素能、α1肾上腺素能（哌唑嗪）和神经节（六甲铵）阻滞后的心血管交感和副交感神经功能。通过配对Wilcoxon检验分别对所有自主神经药物的HRV和BPV的时域、频域和符号动力学测量进行分类。为了选择那些与我们的目标测量（HRV、BPV）高度相关且具有稳定影响的变量，我们使用Fisher方法合并多次检验的p值。该分析得出了以下最佳的心血管变异性参数集：时域分析中的平均正常逐搏间期/值（HRV/BPV：meanNN）、变异系数（cvNN = 标准差/meanNN）和连续的均方根差（RMSSD）。在频域分析中，选择了极低频（VLF）成分。从符号动力学来看，单词分布的香农熵（FWSHANNON）以及用于检测间歇性降低变异性的非线性参数POLVAR3，在区分不同自主神经阻滞方面表现出最佳能力。通过对一组自主神经药物改变的HRV和BPV测量进行复杂的比较分析，我们确定了最敏感的一组信息丰富的心血管变异性指标，能够检测到自主神经挑战所带来的变化。这些指标可能有助于增进我们在实验性疾病转化研究中对心血管交感和副交感神经功能的理解。
