Pulsatility damping in the microcirculation: Basic pattern and modulating factors.


Journal

Microvascular research
ISSN: 1095-9319
Titre abrégé: Microvasc Res
Pays: United States
ID NLM: 0165035

Informations de publication

Date de publication:
01 2022
Historique:
received: 18 07 2021
revised: 13 09 2021
accepted: 23 09 2021
pubmed: 9 10 2021
medline: 11 3 2022
entrez: 8 10 2021
Statut: ppublish

Résumé

Blood flow pulsatility is an important determinant of macro- and microvascular physiology. Pulsatility is damped largely in the microcirculation, but the characteristics of this damping and the factors that regulate it have not been fully elucidated yet. Applying computational approaches to real microvascular network geometry, we examined the pattern of pulsatility damping and the role of potential damping factors, including pulse frequency, vascular viscous resistance, vascular compliance, viscoelastic behavior of the vessel wall, and wave propagation and reflection. To this end, three full rat mesenteric vascular networks were reconstructed from intravital microscopic recordings, a one-dimensional (1D) model was used to reproduce pulsatile properties within the network, and potential damping factors were examined by sensitivity analysis. Results demonstrate that blood flow pulsatility is predominantly damped at the arteriolar side and remains at a low level at the venular side. Damping was sensitive to pulse frequency, vascular viscous resistance and vascular compliance, whereas viscoelasticity of the vessel wall or wave propagation and reflection contributed little to pulsatility damping. The present results contribute to our understanding of mechanical forces and their regulation in the microcirculation.

Identifiants

pubmed: 34624307
pii: S0026-2862(21)00129-1
doi: 10.1016/j.mvr.2021.104259
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104259

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

Auteurs

Qing Pan (Q)

College of Information Engineering, Zhejiang University of Technology, 310023 Hangzhou, China.

Weida Feng (W)

College of Information Engineering, Zhejiang University of Technology, 310023 Hangzhou, China.

Ruofan Wang (R)

Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of MOE, Zhejiang University, 310027 Hangzhou, China.

Arata Tabuchi (A)

Institute of Physiology, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Peilun Li (P)

Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of MOE, Zhejiang University, 310027 Hangzhou, China.

Bianca Nitzsche (B)

Institute of Physiology, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Luping Fang (L)

College of Information Engineering, Zhejiang University of Technology, 310023 Hangzhou, China.

Wolfgang M Kuebler (WM)

Institute of Physiology, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.

Axel R Pries (AR)

Institute of Physiology, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany. Electronic address: axel.pries@charite.de.

Gangmin Ning (G)

Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of MOE, Zhejiang University, 310027 Hangzhou, China. Electronic address: gmning@zju.edu.cn.

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Classifications MeSH