Literature DB >> 31769908

Mathematical relationships of patterns of 35 rat haemodynamic parameters for conditions of hypertension resulting from decreased nitric oxide bioavailability.

Lucia Kurakova1,2, Anton Misak2, Lenka Tomasova2, Sona Cacanyiova3, Andrea Berenyiova3, Elena Ondriasova1, Peter Balis3, Marian Grman2, Karol Ondrias2.   

Abstract

NEW
FINDINGS: 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. ABSTRACT: 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 Nω -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.
© 2019 Slovak Academy of Sciences, Slovak Republic. Experimental Physiology © 2019 The Physiological Society.

Entities:  

Keywords:  NO bioavailability; mathematical relationships; pulse waveform parameters

Mesh:

Substances:

Year:  2020        PMID: 31769908     DOI: 10.1113/EP088148

Source DB:  PubMed          Journal:  Exp Physiol        ISSN: 0958-0670            Impact factor:   2.969


  4 in total

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Authors:  Ademola Adetokunbo Oyagbemi; Olumuyiwa Abiola Adejumobi; Theophilus Aghogho Jarikre; Olumide Samuel Ajani; Ebunoluwa Racheal Asenuga; Idayat Titilayo Gbadamosi; Aduragbenro Deborah A Adedapo; Abimbola Obemisola Aro; Blessing Seun Ogunpolu; Fasilat Oluwakemi Hassan; Olufunke Olubunmi Falayi; Iyanuoluwa Omolola Ogunmiluyi; Temidayo Olutayo Omobowale; Oluwatosin Adetola Arojojoye; Olufunke Eunice Ola-Davies; Adebowale Benard Saba; Adeolu Alex Adedapo; Benjamin Obukowho Emikpe; Matthew Olugbenga Oyeyemi; Sanah Malomile Nkadimeng; Lyndy Joy McGaw; Prudence Ngalula Kayoka-Kabongo; Oluwafemi Omoniyi Oguntibeju; Momoh Audu Yakubu
Journal:  Biol Trace Elem Res       Date:  2021-04-24       Impact factor: 3.738

2.  Patterns and Direct/Indirect Signaling Pathways in Cardiovascular System in the Condition of Transient Increase of NO.

Authors:  Anton Misak; Lucia Kurakova; Andrea Berenyiova; Lenka Tomasova; Marian Grman; Sona Cacanyiova; Karol Ondrias
Journal:  Biomed Res Int       Date:  2020-05-27       Impact factor: 3.411

3.  Cardiovascular "Patterns" of H2S and SSNO--Mix Evaluated from 35 Rat Hemodynamic Parameters.

Authors:  Lenka Tomasova; Marian Grman; Anton Misak; Lucia Kurakova; Elena Ondriasova; Karol Ondrias
Journal:  Biomolecules       Date:  2021-02-16

4.  Characterization of Rat Cardiovascular System by Anacrotic/Dicrotic Notches in the Condition of Increase/Decrease of NO Bioavailability.

Authors:  Lenka Tomasova; Anton Misak; Lucia Kurakova; Marian Grman; Karol Ondrias
Journal:  Int J Mol Sci       Date:  2020-09-12       Impact factor: 5.923

  4 in total

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