Literature DB >> 19420292

Balance point characterization of interstitial fluid volume regulation.

R M Dongaonkar1, G A Laine, R H Stewart, C M Quick.   

Abstract

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.

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Year:  2009        PMID: 19420292      PMCID: PMC2711695          DOI: 10.1152/ajpregu.00097.2009

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  51 in total

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  18 in total

1.  Evaluation of gravimetric techniques to estimate the microvascular filtration coefficient.

Authors:  R M Dongaonkar; G A Laine; R H Stewart; C M Quick
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2011-02-23       Impact factor: 3.619

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Authors:  Catherine Martel; Junjie Yao; Chih-Hsien Huang; Jun Zou; Gwendalyn J Randolph; Lihong V Wang
Journal:  J Biomed Opt       Date:  2014-11       Impact factor: 3.170

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Authors:  R M Dongaonkar; T L Nguyen; C M Quick; J Hardy; G A Laine; E Wilson; R H Stewart
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-05-10       Impact factor: 4.733

4.  Sensitivity analysis of near-infrared functional lymphatic imaging.

Authors:  Michael Weiler; Timothy Kassis; J Brandon Dixon
Journal:  J Biomed Opt       Date:  2012-06       Impact factor: 3.170

Review 5.  Lymphatic lipid transport: sewer or subway?

Authors:  J Brandon Dixon
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Authors:  Christopher M Quick; John C Criscione; Akhilesh Kotiya; Ranjeet M Dongaonkar; Joanne Hardy; Emily Wilson; Anatoliy A Gashev; Glen A Laine; Randolph H Stewart
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2014-03-26       Impact factor: 3.619

7.  A mathematical model of intestinal oedema formation.

Authors:  Jennifer Young; Béatrice Rivière; Charles S Cox; Karen Uray
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8.  Minimally invasive method for determining the effective lymphatic pumping pressure in rats using near-infrared imaging.

Authors:  Tyler S Nelson; Ryan E Akin; Michael J Weiler; Timothy Kassis; Jeffrey A Kornuta; J Brandon Dixon
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2014-01-15       Impact factor: 3.619

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10.  Engineering the Lymphatic System.

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