Literature DB >> 12757859

Modeling the influence of superoxide dismutase on superoxide and nitric oxide interactions, including reversible inhibition of oxygen consumption.

Donald G Buerk1, Kathleen Lamkin-Kennard, Dov Jaron.   

Abstract

A mathematical mass transport model was constructed in cylindrical geometry to follow coupled biochemical reactions and diffusion of oxygen, nitric oxide, superoxide, peroxynitrite, hydrogen peroxide, nitrite, and nitrate around a blood vessel. Computer simulations were performed for a 50 microm internal diameter arteriole to characterize mass transport in five concentric regions (blood, plasma layer, endothelium, vascular wall, perivascular tissue). Steady state gradients in nitric oxide, oxygen partial pressure, superoxide, and peroxynitrite, and associated production of hydrogen peroxide, nitrite, and nitrate were predicted for varying superoxide production rates, superoxide dismutase concentrations, and other physiological conditions. The model quantifies how competition between superoxide scavenging by nitric oxide and superoxide dismutase catalyzed removal varies spatially. Reversible inhibition of oxygen consumption by nitric oxide, which causes increased tissue oxygenation at deeper locations, was also included in the model. The mass transport model provides insight into complex interactions between reactive oxygen and nitrogen species in blood and tissue, and provides an objective way to evaluate the relative influence of different biochemical pathways on these interactions.

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Year:  2003        PMID: 12757859     DOI: 10.1016/s0891-5849(03)00178-3

Source DB:  PubMed          Journal:  Free Radic Biol Med        ISSN: 0891-5849            Impact factor:   7.376


  31 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.  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

3.  Mathematical model of nitric oxide convection and diffusion in a renal medullary vas rectum.

Authors:  Wensheng Zhang; Aurélie Edwards
Journal:  J Math Biol       Date:  2006-08-03       Impact factor: 2.259

Review 4.  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

5.  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 6.  Nitric oxide: what's new to NO?

Authors:  Kedar Ghimire; Helene M Altmann; Adam C Straub; Jeffrey S Isenberg
Journal:  Am J Physiol Cell Physiol       Date:  2016-12-14       Impact factor: 4.249

7.  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

8.  Oxygen regulates the effective diffusion distance of nitric oxide in the aortic wall.

Authors:  Xiaoping Liu; Parthasarathy Srinivasan; Eric Collard; Paula Grajdeanu; Kevin Lok; Sarah E Boyle; Avner Friedman; Jay L Zweier
Journal:  Free Radic Biol Med       Date:  2009-12-04       Impact factor: 7.376

9.  Extracellular diffusion and permeability effects on NO-RBCs interactions using an experimental and theoretical model.

Authors:  Prabhakar Deonikar; Mahendra Kavdia
Journal:  Microvasc Res       Date:  2009-10-23       Impact factor: 3.514

Review 10.  Bang-bang model for regulation of local blood flow.

Authors:  Aleksander S Golub; Roland N Pittman
Journal:  Microcirculation       Date:  2013-08       Impact factor: 2.628

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