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Lai N, Saidel GM, Iorio M, et al. Non-invasive estimation of metabolic flux and blood flow in working muscle: effect of blood-tissue distribution. Adv Exp Med Biol. 2009;645:155-60doi: 10.1007/978-0-387-85998-9_24.
Lai, N., Saidel, G. M., Iorio, M., & Cabrera, M. E. (2009). Non-invasive estimation of metabolic flux and blood flow in working muscle: effect of blood-tissue distribution. Advances in experimental medicine and biology, 645155-60. https://doi.org/10.1007/978-0-387-85998-9_24
Lai, Nicola, et al. "Non-invasive estimation of metabolic flux and blood flow in working muscle: effect of blood-tissue distribution." Advances in experimental medicine and biology vol. 645 (2009): 155-60. doi: https://doi.org/10.1007/978-0-387-85998-9_24
Lai N, Saidel GM, Iorio M, Cabrera ME. Non-invasive estimation of metabolic flux and blood flow in working muscle: effect of blood-tissue distribution. Adv Exp Med Biol. 2009;645:155-60. doi: 10.1007/978-0-387-85998-9_24. PMID: 19227465; PMCID: PMC3884571.
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Adv Exp Med Biol. 2009;645:155-60. doi: 10.1007/978-0-387-85998-9_24.

Non-invasive estimation of metabolic flux and blood flow in working muscle: effect of blood-tissue distribution.

Advances in experimental medicine and biology

Nicola Lai, Gerald M Saidel, Matthew Iorio, Marco E Cabrera

Affiliations

  1. Department of Biomedical Engineering, Center for Modeling Integrated Metabolism Systems, Case Western Reserve University, Cleveland, OH 44106, USA.

PMID: 19227465 PMCID: PMC3884571 DOI: 10.1007/978-0-387-85998-9_24

Abstract

Muscle oxygenation measurements by near infrared spectroscopy (NIRS) are frequently obtained in humans to make inferences about mechanisms of metabolic control of respiration in working skeletal muscle. However, these measurements have technical limitations that can mislead the evaluation of tissue processes. In particular, NIRS measurements of working muscle represent oxygenation of a mix of fibers with heterogeneous activation, perfusion and architecture. Specifically, the relative volume distribution of capillaries, small arteries, and venules may affect NIRS data. To determine the effect of spatial volume distribution of components of working muscle on oxygen utilization dynamics and blood flow changes, a mathematical model of oxygen transport and utilization was developed. The model includes blood volume distribution within skeletal muscle and accounts for convective, diffusive, and reactive processes of oxygen transport and metabolism in working muscle. Inputs to the model are arterial O2 concentration, cardiac output and ATP demand. Model simulations were compared to exercise data from human subjects during a rest-to-work transition. Relationships between muscle oxygen consumption, blood flow, and the rate coefficient of capillary-tissue transport are analyzed. Blood volume distribution in muscle has noticeable effects on the optimal estimates of metabolic flux and blood flow in response to an exercise stimulus.

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