Literature DB >> 11447059

Can we model nitric oxide biotransport? A survey of mathematical models for a simple diatomic molecule with surprisingly complex biological activities.

D G Buerk1.   

Abstract

Nitric oxide (NO) is a remarkable free radical gas whose presence in biological systems and whose astonishing breadth of physiological and pathophysiological activities have only recently been recognized. Mathematical models for NO biotransport, just beginning to emerge in the literature, are examined in this review. Some puzzling and paradoxical properties of NO may be understood by modeling proposed mechanisms with known parameters. For example, it is not obvious how NO can survive strong scavenging by hemoglobin and still be a potent vasodilator. Recent models do not completely explain how tissue NO can reach effective levels in the vascular wall, and they point toward mechanisms that need further investigation. Models help to make sense of extremely low partial pressures of NO exhaled from the lung and may provide diagnostic information. The role of NO as a gaseous neurotransmitter is also being understood through modeling. Studies on the effects of NO on O2 transport and metabolism, also reviewed, suggest that previous mathematical models of transport of O2 to tissue need to be revised, taking the biological activity of NO into account.

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Year:  2001        PMID: 11447059     DOI: 10.1146/annurev.bioeng.3.1.109

Source DB:  PubMed          Journal:  Annu Rev Biomed Eng        ISSN: 1523-9829            Impact factor:   9.590


  33 in total

1.  Nitric oxide and superoxide transport in a cross section of the rat outer medulla. I. Effects of low medullary oxygen tension.

Authors:  Aurélie Edwards; Anita T Layton
Journal:  Am J Physiol Renal Physiol       Date:  2010-06-09

2.  Simulation of NO and O2 transport facilitated by polymerized hemoglobin solutions in an arteriole that takes into account wall shear stress-induced NO production.

Authors:  Yipin Zhou; Pedro Cabrales; Andre F Palmer
Journal:  Biophys Chem       Date:  2012-01-09       Impact factor: 2.352

3.  Dynamics of nitric oxide and peroxynitrite during global brain ischemia/reperfusion in rat hippocampus: NO-sensor measurement and modeling study.

Authors:  Yong Yang; Liu Ke-Zhou; Gan-ming Ning; Min-lai Wang; Xiao-Xiang Zheng
Journal:  Neurochem Res       Date:  2007-08-04       Impact factor: 3.996

Review 4.  Mechanisms of arterial remodeling in hypertension: coupled roles of wall shear and intramural stress.

Authors:  Jay D Humphrey
Journal:  Hypertension       Date:  2008-06-09       Impact factor: 10.190

Review 5.  Interactions of multiple gas-transducing systems: hallmarks and uncertainties of CO, NO, and H2S gas biology.

Authors:  Mayumi Kajimura; Ryo Fukuda; Ryon M Bateman; Takehiro Yamamoto; Makoto Suematsu
Journal:  Antioxid Redox Signal       Date:  2010-07-15       Impact factor: 8.401

6.  3D network model of NO transport in tissue.

Authors:  Xuewen Chen; Donald G Buerk; Kenneth A Barbee; Patrick Kirby; Dov Jaron
Journal:  Med Biol Eng Comput       Date:  2011-03-24       Impact factor: 2.602

Review 7.  A review of flux considerations for in vivo neurochemical measurements.

Authors:  David W Paul; Julie A Stenken
Journal:  Analyst       Date:  2015-06-07       Impact factor: 4.616

8.  Autoregulation and mechanotransduction control the arteriolar response to small changes in hematocrit.

Authors:  Krishna Sriram; Beatriz Y Salazar Vázquez; Amy G Tsai; Pedro Cabrales; Marcos Intaglietta; Daniel M Tartakovsky
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-08-24       Impact factor: 4.733

9.  A mathematical model for the role of N2O3 in enhancing nitric oxide bioavailability following nitrite infusion.

Authors:  Yien Liu; Donald G Buerk; Kenneth A Barbee; Dov Jaron
Journal:  Nitric Oxide       Date:  2016-08-24       Impact factor: 4.427

Review 10.  Erythropoietic stress and anemia in diabetes mellitus.

Authors:  Dhruv K Singh; Peter Winocour; Ken Farrington
Journal:  Nat Rev Endocrinol       Date:  2009-04       Impact factor: 43.330

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