Abstract
This work is based on the hypothesis that it is possible to characterize the cardiovascular system just from the detailed shape of the arterial pulse waveform (APW). Since H2S, NO donor S-nitrosoglutathione (GSNO) and their H2S/GSNO products (SSNO−-mix) have numerous biological actions, we aimed to compare their effects on APW and to find characteristic “patterns” of their actions. The right jugular vein of anesthetized rats was cannulated for i.v. administration of the compounds. The left carotid artery was cannulated to detect APW. From APW, 35 hemodynamic parameters (HPs) were evaluated. H2S transiently influenced all 35 HPs and from their cross-relationships to systolic blood pressure “patterns” and direct/indirect signaling pathways of the H2S effect were proposed. The observed “patterns” were mostly different from the published ones for GSNO. Effect of SSNO−-mix (≤32 nmol kg−1) on blood pressure in the presence or absence of a nitric oxide synthase inhibitor (L-NAME) was minor in comparison to GSNO, suggesting that the formation of SSNO−-mix in blood diminished the hemodynamic effect of NO. The observed time-dependent changes of 35 HPs, their cross-relationships and non-hysteresis/hysteresis profiles may serve as “patterns” for the conditions of a transient decrease/increase of blood pressure caused by H2S.
Highlights
The information obtained from arterial pulse waveform (APW) analysis can provide insight into the function of the cardiovascular system in physiological and pathophysiological conditions
We evaluated time-dependent changes of 35 hemodynamic parameters (HPs) in the condition of increased nitric oxide (NO) bioavailability by GSNO and compared these effects with the changes observed in the condition of decreased NO biovailability by L-NAME [4,5]
We evaluated the hysteresis/non-hysteresis pattern during the time period corresponding to the decrease (Figure 2; red lines) and increase of systolic blood pressure (BP) (Figure 2; blue lines) after Na2 S administration
Summary
The information obtained from arterial pulse waveform (APW) analysis can provide insight into the function of the cardiovascular system in physiological and pathophysiological conditions. From the cross-relationships of the 35 HPs, one can obtain. 595 “patterns” characterizing cardiovascular system at the given conditions. In the cases when changes of HPs are transient, non-hysteresis/hysteresis “patterns” can be evaluated from the cross-relationships that may indicate direct or indirect connections of signaling pathways between two given HPs [4,5]. The present work is a continuation of our work based on the hypothesis that it is possible to characterize the cardiovascular system in many patho-physiological conditions from the detailed shape of APW. The HPs and their cross-relationships may provide “patterns”
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