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. 2014 Apr;13(2):401-16.
doi: 10.1007/s10237-013-0505-0. Epub 2013 Jun 26.

Development of a model of a multi-lymphangion lymphatic vessel incorporating realistic and measured parameter values

Affiliations

Development of a model of a multi-lymphangion lymphatic vessel incorporating realistic and measured parameter values

C D Bertram et al. Biomech Model Mechanobiol. 2014 Apr.

Abstract

Our published model of a lymphatic vessel consisting of multiple actively contracting segments between non-return valves has been further developed by the incorporation of properties derived from observations and measurements of rat mesenteric vessels. These included (1) a refractory period between contractions, (2) a highly nonlinear form for the passive part of the pressure-diameter relationship, (3) hysteretic and transmural-pressure-dependent valve opening and closing pressure thresholds and (4) dependence of active tension on muscle length as reflected in local diameter. Experimentally, lymphatic valves are known to be biased to stay open. In consequence, in the improved model, vessel pumping of fluid suffers losses by regurgitation, and valve closure is dependent on backflow first causing an adverse valve pressure drop sufficient to reach the closure threshold. The assumed resistance of an open valve therefore becomes a critical parameter, and experiments to measure this quantity are reported here. However, incorporating this parameter value, along with other parameter values based on existing measurements, led to ineffective pumping. It is argued that the published measurements of valve-closing pressure threshold overestimate this quantity owing to neglect of micro-pipette resistance. An estimate is made of the extent of the possible resulting error. Correcting by this amount, the pumping performance is improved, but still very inefficient unless the open-valve resistance is also increased beyond the measured level. Arguments are given as to why this is justified, and other areas where experimental data are lacking are identified. The model is capable of future adaptation as new experimental data appear.

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Figures

Figure 1
Figure 1
A diagram of a version of the multi-lymphangion model with just two lymphangions.
Figure 2
Figure 2
Pressure-diameter relation for a lymphatic vessel in the absence of wall muscle contraction, measured by Davis et al. (2011). Experimentally, diameter depends on transmural pressure, i.e. D = Dptm), but in the numerical model it is convenient to express the dependence as Δptm = Δptm(D), and the plot here has the axes arranged to reflect this ordering.
Figure 3
Figure 3
The variation of resistance RV with the pressure drop ΔpV across a valve in the model. The form of the opening/closing characteristic (low resistance at ΔpV > Δpo, high at ΔpV < Δpo) varies with four parameters: Δpo, so, RVn and RVx. In the valves used here, the threshold pressure drop Δpo depends on Δptm, and the opening threshold differs from the closing threshold.
Figure 4
Figure 4
Experimental data (circles) showing the hysteresis and transmural-pressure dependence of lymphatic valve function, from Davis et al. (2011), and the fitted curves (solid lines) that were used in the lymphangion model. Note the change in definition of the transmural pressure on the abscissa between the two panels. The dotted curve shows the suggested closing threshold explained later in the paper (section 4). Variables here conform to those of Davis et al. (2011); their Pext is pe in this paper, while Pin is pi–1,2 and Pout is pi1.
Figure 5
Figure 5
A surface-fit to the results of seven experiments to measure the value of open-valve resistance RVn, coloured according to the value of the pressure drop ΔpV, which can be read off the vertical axis. Resistance is given by d(ΔpV)/dQ, and varies with both D and Q. The fit is third order, meaning that any cut through the surface at a given D or a given Q will be a curve with at most one reversal of curvature. The statistic r2 shows how much of the total data variance about the mean is fitted by the surface. The surfaces representing the 95% confidence limits are also shown in outline.
Figure 6
Figure 6
A cycle of steady-state pumping for the single-lymphangion model which used the closing characteristic to determine the pressure drop threshold for both valve opening and valve closing. In the top panel, the horizontal dotted line shows the value of pe. The lower solid line shows pa, the upper one pb. In the second panel, the waveform of M(t) shows timing only; the magnitude is arbitrary. The binary variables in the bottom panel register whether the inlet or outlet valve (V1 and V2 respectively) is open or closed. All parameter values in c.g.s. units except where specified; 6m means 6 × 106 (etc.).
Figure 7
Figure 7
The performance of the corresponding pump with valves using only the opening characteristic for both state-change thresholds. See caption to Fig. 6 for explanation of traces.
Figure 8
Figure 8
The lymphangion’s passive constitutive relation (cyan), showing (blue) the range of diameters visited during the steady-state cycle (not illustrated) when the valves use both opening and closing characteristics. The values of diameter are those which actually occurred, but the values of transmural pressure are not, because the contribution from the active contraction caused the Δptm/D-relation to move off the passive curve (the actual Δptm-range was from –516.5 to +1918.5 dyn cm−2 in this case).
Figure 9
Figure 9
The active length-tension relationship. (a) The underlying model is a logistic equation prescribing Md(D), i.e. how M varies with D; see Appendix 1. (b) Result of dividing Md(D) by D (green curve), compared with the passive constitutive relation (raw data in black, fitted curve in red). Pd is here the pressure at the normalising diameter indicated by the intersection of dashed lines.
Figure 10
Figure 10
Model run after adding the length-tension relationship and adjusting other parameters. The traces p1(t) and pm(t) here follow almost exactly the same path as p2(t) and are consequently obscured by being overwritten. The curve Mt(t) is normalised by the maximum diameter; the curves Md(D) and M(D,t) are scaled to the same maximum value, so that Md(D) and M(D,t) necessarily coincide when Mt(t) reaches its peak. See caption to Fig. 6 for explanation of other traces.
Figure 11
Figure 11
Waveforms for a cycle of steady-state operation of the pump corresponding to the third pair of columns in Table 2. See caption to Fig. 6 for explanation of traces.
Figure 12
Figure 12
The result of increasing valve resistances RVx and RVn relative to their values in Fig. 11 is restoration of effective pumping. See caption to Fig. 10 for explanation of traces.
Figure 13
Figure 13
The effect of peak active tension M0 on mean flow-rate . Left panel: with Mt(t) only. Right panel: with M(D,t). The operating point of Fig. 12 provides the uppermost-but-one point in the right-hand panel.
Figure 14
Figure 14
Pumping by a model of two lymphangions in series incorporating M(D,t) and experimentally justified values of all important parameters except RVn, which is artificially raised to circumvent the measured strong bias to remain open of the valves. See caption to Fig. 10 for explanation of traces insofar as one lymphangion is concerned. All three pressures in a lymphangion vary similarly; therefore p12 mostly overwrites p11 and p1m, and p22 mostly overwrites p21 and p2m.
Figure 15
Figure 15
Cycle-mean flow-rate for a single lymphangion, with and without application of the factor 0.221 to the measured values of valve-closing pressure-drop threshold. Results are shown at various values of RVn ranging upward from 5×105 dyn cm−2/ml s−1, which approximates the measured value. When the threshold is left at the measured values (see Fig. 4a), is negative for all values of RVn up to eight times the measured value, owing to leakback through closed valves under the impulsion of Δpba (here, 3 cmH2O). When the closure thresholds are reduced, is positive for all values of RVn including the measured value; however, a higher value still improves . Both 1 and 2 are shown; tiny discrepancies represent error due to finite time-step size, not lack of convergence (all runs were continued until 1 and 2 stabilised). Other parameters: max. valve resistance RVx + RVn = 109 dyn cm−2/ml s−1, so = 0.4 cm2/dyn, tr = 1.5 s.

References

    1. Bertram CD. Lumped-parameter modelling of microlymphatic vessels. Paper presented at the ECI Conference, Computational Fluid Dynamics in Medicine and Biology; Ein Bokek, Dead Sea, Israel. 25–30 March 2012.2012.
    1. Bertram CD, Macaskill C, Moore JE., jr Simulation of a chain of collapsible contracting lymphangions with progressive valve closure. ASME J Biomech Eng. 2011a;133 (1):011008-1–011008-10. doi: 10.1115/1.4002799. - DOI - PMC - PubMed
    1. Bertram CD, Macaskill C, Moore JE., jr Effects of lymphangion subdivision in a numerical model of a lymphatic vessel. Paper presented at the ASME 2011 Summer Bioengineering Conference (SBC2011); Farmington, Pennsylvania, USA. 22–25 June 2011.2011b.
    1. Bertram CD, Macaskill C, Moore JE., jr Incorporating measured valve properties into a numerical model of a lymphatic vessel. Computer Methods in Biomechanics and Biomedical Engineering. 2013 doi: 10.1080/10255842.2012.753066. publ on-line 6 Feb. - DOI - PMC - PubMed
    1. Davis MJ, Rahbar E, Gashev AA, Zawieja DC, Moore JE., jr Determinants of valve gating in collecting lymphatic vessels from rat mesentery. Am J Physiol (Heart Circ Physiol) 2011;301 (1):H48–H60. doi: 10.1152/ajpheart.00133.2011. - DOI - PMC - PubMed

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