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收集淋巴管的收缩:多个淋巴管压力依赖性速率的组织。

Contraction of collecting lymphatics: organization of pressure-dependent rate for multiple lymphangions.

机构信息

School of Mathematics and Statistics, University of Sydney, New South Wales, 2006, Australia.

Department of Medical Pharmacology and Physiology, University of Missouri School of Medicine, Columbia, MO, USA.

出版信息

Biomech Model Mechanobiol. 2018 Oct;17(5):1513-1532. doi: 10.1007/s10237-018-1042-7. Epub 2018 Jun 8.

Abstract

The paper describes the extension of a previously developed model of pressure-dependent contraction rate to the case of multiple lymphangions. Mechanical factors are key modulators of active lymphatic pumping. As part of the evolution of our lumped-parameter model to match experimental findings, we have designed an algorithm whereby the time until the next contraction depends on lymphangion transmural pressure in the contraction just completed. The functional dependence of frequency on pressure is quantitatively matched to isobaric contraction experiments on isolated lymphatic segments. When each of several lymphangions is given this ability, a scheme for their coordination must be instituted to match the observed synchronization. Accordingly, and in line with an experiment on an isolated lymphatic vessel segment in which we measured contraction sequence and conduction delay, we took the fundamental principle to be that local timing can be overridden by signals to initiate contraction that start in adjacent lymphangions, conducted with a short delay. The scheme leads to retrograde conduction when the lymphangion chain is pumping against an adverse pressure difference, but antegrade conduction when contractions occur with no or a favourable pressure difference. Abolition of these conducted signals leads to chaotic variation of cycle-mean flow-rate from the chain, diastolic duration in each lymphangion, and inter-lymphangion delays. Chaotic rhythm is also seen under other circumstances. Because the model responds to increasing adverse pressure difference by increasing the repetition rate of contractions, it maintains time-average output flow-rate better than one with fixed repetition rate.

摘要

本文描述了先前开发的压力依赖性收缩率模型在多个淋巴管情况下的扩展。机械因素是主动淋巴泵送的关键调节因素。作为我们对集总参数模型进行匹配实验结果的改进的一部分,我们设计了一种算法,其中下一次收缩的时间取决于刚刚完成的收缩中的淋巴管跨壁压力。频率对压力的函数依赖性与离体淋巴段等压收缩实验定量匹配。当给几个淋巴管中的每一个赋予这种能力时,必须制定协调方案以匹配观察到的同步。因此,根据我们在离体淋巴管段上进行的一项实验,我们测量了收缩序列和传导延迟,我们采取的基本原则是,局部定时可以被信号覆盖,这些信号会启动来自相邻淋巴管的收缩,延迟很短。当淋巴管链在对抗不利压力差时进行泵送时,该方案会导致逆行传导,但当没有或存在有利压力差时,会导致顺行传导。消除这些传导信号会导致从链中流出的平均流量、每个淋巴管的舒张持续时间和淋巴管之间的延迟出现混沌变化。在其他情况下也会出现混沌节律。由于模型通过增加收缩的重复率来响应增加的不利压力差,因此它比具有固定重复率的模型更好地维持时间平均输出流量。

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