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骨骼肌阻力性小动脉张力的调节:血管反应的时间变异性

Regulation of Skeletal Muscle Resistance Arteriolar Tone: Temporal Variability in Vascular Responses.

作者信息

Halvorson Brayden D, Ward Aaron D, Murrell Donna, Lacefield James C, Wiseman Robert W, Goldman Daniel, Frisbee Jefferson C

机构信息

Departments of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada.

Departments of Oncology, University of Western Ontario, London, Ontario, Canada.

出版信息

J Vasc Res. 2024;61(6):269-297. doi: 10.1159/000541169. Epub 2024 Oct 3.

DOI:10.1159/000541169
PMID:39362208
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11652243/
Abstract

INTRODUCTION

A full understanding of the integration of the mechanisms of vascular tone regulation requires an interrogation of the temporal behavior of arterioles across vasoactive challenges. Building on previous work, the purpose of the present study was to start to interrogate the temporal nature of arteriolar tone regulation with physiological stimuli.

METHODS

We determined the response rate of ex vivo proximal and in situ distal resistance arterioles when challenged by one-, two-, and three-parameter combinations of five major physiological stimuli (norepinephrine, intravascular pressure, oxygen, adenosine [metabolism], and intralumenal flow). Predictive machine learning models determined which factors were most influential in controlling the rate of arteriolar responses.

RESULTS

Results indicate that vascular response rate is dependent on the intensity of the stimulus used and can be severely hindered by altered environments, caused by application of secondary or tertiary stimuli. Advanced analytics suggest that adrenergic influences were dominant in predicting proximal arteriolar response rate compared to metabolic influences in distal arterioles.

CONCLUSION

These data suggest that the vascular response rate to physiologic stimuli can be strongly influenced by the local environment. Translating how these effects impact vascular networks is imperative for understanding how the microcirculation appropriately perfuses tissue across conditions.

摘要

引言

要全面理解血管张力调节机制的整合,需要研究小动脉在血管活性刺激下的时间行为。基于先前的工作,本研究的目的是开始探讨生理刺激下小动脉张力调节的时间特性。

方法

我们测定了离体近端和在位远端阻力小动脉在受到五种主要生理刺激(去甲肾上腺素、血管内压力、氧气、腺苷[代谢]和管腔内血流)的单参数、双参数和三参数组合刺激时的反应速率。预测性机器学习模型确定了哪些因素对控制小动脉反应速率最具影响力。

结果

结果表明,血管反应速率取决于所用刺激的强度,并且可能会受到二次或三次刺激所导致的环境改变的严重阻碍。高级分析表明,与远端小动脉的代谢影响相比,肾上腺素能影响在预测近端小动脉反应速率方面占主导地位。

结论

这些数据表明,血管对生理刺激的反应速率会受到局部环境的强烈影响。理解这些效应如何影响血管网络对于理解微循环如何在不同条件下适当地灌注组织至关重要。

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