Characterization of Neuroblastoma Xenograft in Rat Flank. I. Growth, Interstitial Fluid Pressure, and Interstitial Fluid Velocity Distribution Profiles

1993 ◽  
Vol 46 (2) ◽  
pp. 158-177 ◽  
Author(s):  
Gene R. DiResta ◽  
Jongbin Lee ◽  
Steven M. Larson ◽  
Ehud Arbit
2009 ◽  
Vol 297 (1) ◽  
pp. R6-R16 ◽  
Author(s):  
R. M. Dongaonkar ◽  
G. A. Laine ◽  
R. H. Stewart ◽  
C. M. Quick

The individual processes involved in interstitial fluid volume and protein regulation (microvascular filtration, lymphatic return, and interstitial storage) are relatively simple, yet their interaction is exceedingly complex. There is a notable lack of a first-order, algebraic formula that relates interstitial fluid pressure and protein to critical parameters commonly used to characterize the movement of interstitial fluid and protein. Therefore, the purpose of the present study is to develop a simple, transparent, and general algebraic approach that predicts interstitial fluid pressure ( P i) and protein concentrations ( C i) that takes into consideration all three processes. Eight standard equations characterizing fluid and protein flux were solved simultaneously to yield algebraic equations for P i and C i as functions of parameters characterizing microvascular, interstitial, and lymphatic function. Equilibrium values of P i and C i arise as balance points from the graphical intersection of transmicrovascular and lymph flows (analogous to Guyton's classical cardiac output-venous return curves). This approach goes beyond describing interstitial fluid balance in terms of conservation of mass by introducing the concept of inflow and outflow resistances. Algebraic solutions demonstrate that P i and C i result from a ratio of the microvascular filtration coefficient (1/inflow resistance) and effective lymphatic resistance (outflow resistance), and P i is unaffected by interstitial compliance. These simple algebraic solutions predict P i and C i that are consistent with reported measurements. The present work therefore presents a simple, transparent, and general balance point characterization of interstitial fluid balance resulting from the interaction of microvascular, interstitial, and lymphatic function.


2001 ◽  
Vol 21 (3) ◽  
pp. 222-230 ◽  
Author(s):  
Rolf K. Reed ◽  
Ansgar Berg ◽  
Eli-Anne B. Gjerde ◽  
Kristofer Rubin

2015 ◽  
Vol 137 (9) ◽  
Author(s):  
Joe Tien ◽  
Le Li ◽  
Ozgur Ozsun ◽  
Kamil L. Ekinci

In order to understand how interstitial fluid pressure and flow affect cell behavior, many studies use microfluidic approaches to apply externally controlled pressures to the boundary of a cell-containing gel. It is generally assumed that the resulting interstitial pressure distribution quickly reaches a steady-state, but this assumption has not been rigorously tested. Here, we demonstrate experimentally and computationally that the interstitial fluid pressure within an extracellular matrix gel in a microfluidic device can, in some cases, react with a long time delay to external loading. Remarkably, the source of this delay is the slight (∼100 nm in the cases examined here) distension of the walls of the device under pressure. Finite-element models show that the dynamics of interstitial pressure can be described as an instantaneous jump, followed by axial and transverse diffusion, until the steady pressure distribution is reached. The dynamics follow scaling laws that enable estimation of a gel's poroelastic constants from time-resolved measurements of interstitial fluid pressure.


2003 ◽  
Vol 31 (10) ◽  
pp. 1246-1254 ◽  
Author(s):  
David M. Wright ◽  
Helge Wiig ◽  
C. Peter Winlove ◽  
Joel L. Bert ◽  
Rolf K. Reed

PLoS ONE ◽  
2009 ◽  
Vol 4 (12) ◽  
pp. e8149 ◽  
Author(s):  
Agnieszka Kłosowska-Wardęga ◽  
Yoko Hasumi ◽  
Mikhail Burmakin ◽  
Aive Åhgren ◽  
Linda Stuhr ◽  
...  

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