Med Biol Eng Comput - 3D network model of NO transport in tissue.

Tópicos

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Resumo

We developed a mathematical model to simulate shear stress-dependent nitric oxide (NO) production and transport in a 3D microcirculatory network based on published data. The model consists of a 100 ?m ? 500 ?m ? 75 ?m rectangular volume of tissue containing two arteriole-branching trees, and nine capillaries surrounding the vessels. Computed distributions for NO in blood, vascular walls, and surrounding tissue were affected by hematocrit (Hct) and wall shear stress (WSS) in the network. The model demonstrates that variations in the red blood cell (RBC) distribution and WSS in a branching network can have differential effects on computed NO concentrations due to NO consumption by RBCs and WSS-dependent changes in NO production. The model predicts heterogeneous distributions of WSS in the network. Vessel branches with unequal blood flow rates gave rise to a range of WSS values and therefore NO production rates. Despite increased NO production in a branch with higher blood flow and WSS, vascular wall NO was predicted to be lower due to greater NO consumption in blood, since the microvascular Hct increased with redistribution of RBCs at the vessel bifurcation. Within other regions, low WSS was combined with decreased NO consumption to enhance the NO concentration.

Resumo Limpo

develop mathemat model simul shear stressdepend nitric oxid product transport d microcirculatori network base publish data model consist m m m rectangular volum tissu contain two arteriolebranch tree nine capillari surround vessel comput distribut blood vascular wall surround tissu affect hematocrit hct wall shear stress wss network model demonstr variat red blood cell rbc distribut wss branch network can differenti effect comput concentr due consumpt rbcs wssdepend chang product model predict heterogen distribut wss network vessel branch unequ blood flow rate gave rise rang wss valu therefor product rate despit increas product branch higher blood flow wss vascular wall predict lower due greater consumpt blood sinc microvascular hct increas redistribut rbcs vessel bifurc within region low wss combin decreas consumpt enhanc concentr

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