Modeling the influence of superoxide dismutase on superoxide and nitric oxide interactions, including reversible inhibition of oxygen consumption
Modeling the influence of superoxide dismutase on superoxide and nitric oxide interactions, including reversible inhibition of oxygen consumption
复制标题
DOI：
10.1016/s0891-5849(03)00178-3
复制
发表时间：
2003-06-01
影响因子：
7.4
通讯作者：
Jaron, D
中科院分区：
文献类型：
--
作者：
Buerk, DG;Lamkin-Kennard, K;Jaron, D
在圆柱形几何构造的数学质量传输模型，遵循耦合的生化反应和扩散的氧气，一氧化氮，超氧化物，过氧亚硝酸盐，过氧化氢，亚硝酸盐，硝酸盐在血管周围。进行了计算机模拟为50微米内径的小动脉，以表征在五个同心区域（血液，血浆层，内皮，血管壁，血管周围组织）的质量传输。稳态梯度一氧化氮，氧分压，超氧化物，过氧亚硝酸盐，和相关的生产过氧化氢，亚硝酸盐，硝酸盐预测不同的超氧化物生产率，超氧化物歧化酶浓度，和其他生理条件。该模型量化了一氧化氮和超氧化物歧化酶催化清除超氧化物之间的竞争如何在空间上变化。该模型还包括一氧化氮对氧消耗的可逆抑制，这会导致更深位置的组织氧合增加。质量传输模型提供了深入了解血液和组织中的活性氧和氮物种之间的复杂相互作用，并提供了一个客观的方式来评估这些相互作用的不同的生化途径的相对影响。(C)2003爱思唯尔公司
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 mum 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. (C) 2003 Elsevier Inc.