Dynamic Coherence Analysis of Vasomotion and Flow Motion in Skeletal Muscle Microcirculation

Bertuglia, Silvia; Colantuoni, Antonio; Arnold, Michael; Witte, Herbert

doi:10.1006/mvre.1996.0061

Cited by 34 publications

(19 citation statements)

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“…Vasoconstrictor nerves, vasodilator nerves, and humoral control provide optimal circulatory homeostasis such as cardiac output, blood pressure, venous flow, blood volume, and thermoregulation for the individual (Bertuglia et al, 1996).…”

Section: Regulation Of Skin Blood Flowmentioning

confidence: 99%

Preventing pressure ulcers by assessment of the microcirculation in tissue exposed to pressure

Bergstrand¹

2014

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Section: Regulation Of Skin Blood Flowmentioning

confidence: 99%

Preventing pressure ulcers by assessment of the microcirculation in tissue exposed to pressure

Bergstrand¹

2014

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“…Spontaneous rhythmic oscillations in vessel diameter are known as vasomotion and occur primarily in small arteries and arterioles (Bertuglia et al, 1996;Colantuoni et al, 1984Colantuoni et al, , 1990Jackson et al, 1991;Meyer et al, 1988;Meyer & Intaglietta, 1987;Schmidt et al, 1993;Slaaf et al, 1987;Wiedeman, 1955). Generally, the frequencies of the oscillations are in the range 3-30 min −1 and the peak-peak amplitudes are large, 50-100% or more of the mean diameter (Tuma et al, 2008).…”

Section: The Phenomenon Of Vasomotionmentioning

confidence: 99%

Spontaneous oscillations in a model for active control of microvessel diameters

Arciero

Secomb²

2011

Mathematical Medicine and Biology

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A new theory is presented for the origin of spontaneous oscillations in blood vessel diameters that are observed experimentally in the microcirculation. These oscillations, known as vasomotion, involve timevarying contractions of the vascular smooth muscle in the walls of arterioles. It is shown that such oscillations can arise as a result of interactions between the mechanics of the vessel wall and the dynamics of the active contraction of smooth muscle cells in response to circumferential tension in the wall. A theoretical model is developed in which the diameter and the degree of activation in a vessel are dynamic variables. The model includes effects of wall shear stress and oxygen-dependent metabolic signals on smooth muscle activation and is applied to a single vessel and to simplified network structures. The model equations predict limit cycle oscillations for certain ranges of parameters such as wall shear stress, arterial pressure and oxygen consumption rate. Predicted characteristics of the oscillations, including their sensitivity to arterial pressure, are consistent with experimental observations.

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“…It was suggested that the frequency component in the range of 0.0095-0.02 Hz (0.57-1.2 cpm) may be related to NO release by endothelial cells [14]. We observed that arteriolar diameter oscillations were due to the properties of arteriolar smooth muscle cells (range 0.06-0.2 Hz/3.6-12 cpm) and respiratory and heart rates [5,37,38]. It is interesting to note that the present results were derived from anesthetized animals, while our previous observations were carried out in awake animals.…”

Section: Discussionmentioning

confidence: 99%

“…The present data demonstrate that our evaluation of the ULF component was consistent. Previously, we demonstrated that oscillations in diameter are transferred along the arteriolar networks [37]. …”

Section: Discussionmentioning

confidence: 99%

Low-Frequency Components in Rat Pial Arteriolar Rhythmic Diameter Changes

et al. 2017

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This study aimed to analyze the frequency components present in spontaneous rhythmic diameter changes in rat pial arterioles. Pial microcirculation was visualized by fluorescence microscopy. Rhythmic luminal variations were evaluated via computer-assisted methods. Spectral analysis was carried out on 30-min recordings under baseline conditions and after administration of acetylcholine (Ach), papaverine (Pap), Nω-nitro-L-arginine (L-NNA) prior to Ach, indomethacin (INDO), INDO prior to Ach, charybdotoxin and apamin, and charybdotoxin and apamin prior to Ach. Under baseline conditions all arteriolar orders showed 3 frequency components in the ranges of 0.0095-0.02, 0.02-0.06, and 0.06-0.2 Hz, another 2 in the ranges of 0.2-2.0 and 2.5-4.5 Hz, and another ultra-low-frequency component in the range of 0.001-0.0095 Hz. Ach caused a significant increase in the spectral density of the frequency components in the range of 0.001-0.2 Hz. Pap was able to slightly increase spectral density in the ranges of 0.001-0.0095 and 0.0095-0.02 Hz. L-NNA mainly attenuated arteriolar responses to Ach. INDO prior to Ach did not affect the endothelial response to Ach. Charybdotoxin and apamin, suggested as endothelium-derived hyperpolarizing factor inhibitors, reduced spectral density in the range of 0.001-0.0095 Hz before and after Ach administration. In conclusion, regulation of the blood flow distribution is due to several mechanisms, one of which is affected by charibdotoxin and apamin, modulating the vascular tone.

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Dynamic Coherence Analysis of Vasomotion and Flow Motion in Skeletal Muscle Microcirculation

Cited by 34 publications

References 0 publications

Preventing pressure ulcers by assessment of the microcirculation in tissue exposed to pressure

Preventing pressure ulcers by assessment of the microcirculation in tissue exposed to pressure

Spontaneous oscillations in a model for active control of microvessel diameters

Low-Frequency Components in Rat Pial Arteriolar Rhythmic Diameter Changes

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