Faculty of Pharmacy, Comenius University, Bratislava, Slovak Republic.
Institute of Clinical and Translational Research, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovak Republic.
Exp Physiol. 2020 Feb;105(2):312-334. doi: 10.1113/EP088148. Epub 2020 Jan 9.
What is the central question of this study? Can the cross-relationship between 35 rat arterial pulse waveform (APW) parameters be described by known mathematical functions and can mathematical parameters be obtained for conditions in a model of hypertension resulting from decreased NO bioavailability? What is the main finding and its importance? Mathematical functions and their parameters were obtained that approximate the cross-relationships of 35 APW parameters to systolic blood pressure and to the augmentation index in conditions of decreased NO bioavailability. The results enable APW parameters to be assigned to decreased NO bioavailability, which may have predictive or diagnostic value.
Information obtained from the arterial pulse waveform (APW) using haemodynamic parameters (HPs) is useful for characterization of the cardiovascular system in particular (patho)physiological conditions. Our goal was to find out whether the relationships between rat HPs could be described by simple mathematical functions and to find mathematical parameters for conditions of high blood pressure (BP) resulting from decreased NO bioavailability. The right jugular vein of anaesthetized Wistar rats was cannulated for i.v. administration of N -nitro-l-arginine methyl ester (l-NAME). The left common carotid artery was cannulated to detect the APW. From 10 points on the rat APW we defined 35 HPs (some were known already) and found 595 cross-relationships between HPs showing unique patterns for particular cardiovascular conditions. Here we show parallel time-dependent changes of 35 HPs and some of their cross-relationships in condition of high BP induced by l-NAME. We found that most of the time-dependent changes of 35 HPs and their relationships were very well fitted by simple mathematical functions, e.g. a linear function, exponential growth, exponential decay or exponential rise to maximum. The results may enable the mathematical functions to be assigned for decreased NO bioavailability, which may have predictive or diagnostic value for conditions of high BP. Using this approach, it may be possible to find unique cross-relationship patterns of HPs and mathematical functions between HPs for different cardiovascular (patho)physiological or drug-modulating conditions. This knowledge can be used in studying the molecular mechanisms of particular (patho)physiological conditions or drug actions and may have predictive or diagnostic value.
本研究的核心问题是什么？可以通过已知的数学函数来描述 35 个大鼠动脉脉搏波形 (APW) 参数之间的交叉关系吗？可以为因一氧化氮生物利用度降低而导致的高血压模型中的条件获得数学参数吗？主要发现及其重要性是什么？获得了可以近似表示 35 个 APW 参数与收缩压和因一氧化氮生物利用度降低而导致的增强指数之间的交叉关系的数学函数及其参数。结果使得可以将 APW 参数分配给一氧化氮生物利用度降低，这可能具有预测或诊断价值。
使用血流动力学参数 (HP) 从动脉脉搏波形 (APW) 中获得的信息对于心血管系统的特征，特别是（病理）生理条件下的特征非常有用。我们的目标是找出大鼠 HP 之间的关系是否可以用简单的数学函数来描述，并为因一氧化氮生物利用度降低而导致的高血压 (BP) 条件找到数学参数。用麻醉的 Wistar 大鼠的右颈静脉进行静脉内给予 N-硝基-L-精氨酸甲酯（L-NAME）的插管。用左颈总动脉进行插管以检测 APW。从大鼠 APW 的 10 个点定义了 35 个 HP（有些已经知道），并发现了 595 个 HP 之间的交叉关系，这些交叉关系显示了特定心血管状况的独特模式。在这里，我们显示了在由 L-NAME 诱导的高血压状态下，35 个 HP 及其某些交叉关系的平行时变。我们发现，35 个 HP 及其关系的大多数时变都非常适合简单的数学函数，例如线性函数、指数增长、指数衰减或指数上升到最大值。结果可能使得可以将数学函数分配给一氧化氮生物利用度降低，这对于高血压状态可能具有预测或诊断价值。通过这种方法，有可能找到不同心血管（病理）生理或药物调节条件下 HP 及其数学函数之间的独特交叉关系模式。该知识可用于研究特定（病理）生理条件或药物作用的分子机制，并且可能具有预测或诊断价值。
