Wavelet Analysis of Microcirculatory Flowmotion Reveals Cardiovascular Regulatory Mechanisms–Data from a Beta-Blocker - Inserm - Institut national de la santé et de la recherche médicale Access content directly
Journal Articles Applied Sciences Year : 2020

Wavelet Analysis of Microcirculatory Flowmotion Reveals Cardiovascular Regulatory Mechanisms–Data from a Beta-Blocker

Abstract

A variety of animal models exist for the study of cardiovascular function using many approaches from surgically induced ischemia to genetic manipulation. A murine physiological model was recently proposed for the non-invasive study of peripheral circulation and was strengthened by the wavelet transform analysis (WA) of laser Doppler flowmetry (LDF) signals. WA allows the extraction of cardiac, respiratory, sympathetic, endothelial, and myogenic components from the raw LDF signal. The present study was designed to evaluate the discernment capacity of the model through an analysis of the short-term effects of the well-known hypotensive cardiovascular drug, atenolol. Six male C57/BL6 mice (16 weeks old) were included in the study, with each animal serving as its own control. Following anesthesia with ketamine-xylazine, skin perfusions were continuously assessed in both hindlimbs by LDF during baseline and after two sequential atenolol administrations (2.5 and 5.0 mg/kg, as commonly prescribed). Expected atenolol-induced hypotension was present, associated with a significantly increased heart rate and peripheral perfusion with both dosages. Through the application of WA to the LDF signal, we could detail the mechanisms of the atenolol-induced peripheral perfusion modulation: an immediate amplitude decrease of the cardiac LDF spectrum with an amplitude increase of the sympathetic component (p < 0.05) and the endothelial and myogenic components (non-significant). These data suggested a regulatory crosstalk between the peripheral (baroreceptors) and the microcirculatory units, which ultimately resulted in hypotension, inotropic reduction, and tachycardia. In conclusion, WA offered insight that simply could not be seen with only the perfusion curve and, thus, was an effective tool to investigate this cardiovascular mechanism of regulation.
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Dates and versions

inserm-02865347 , version 1 (11-06-2020)

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Henrique Diogo Silva, Etienne Roux, Alain-Pierre Gadeau, Luis Monteiro Rodrigues. Wavelet Analysis of Microcirculatory Flowmotion Reveals Cardiovascular Regulatory Mechanisms–Data from a Beta-Blocker. Applied Sciences, 2020, 10 (11), pp.4000. ⟨10.3390/app10114000⟩. ⟨inserm-02865347⟩

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