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 capillarytissue 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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M. Ferrari, L. Mottola, and V. Quaresima, Principles, Techniques, and limitations of Near infrared Spectroscopy, Can. J. Appl. Physiol. 29(4): 463-487 (2004)
B. Grassi, S. Pogliaghi, S. Rampichini, V. Quaresima, M. Ferrari, Muscle oxygenation and pulmonary gas exchange kinetics during cycling exercise on-transitions in humans, J Appl Physiol 95:149-58 (2003).
R. Boushel, H. Langberg, J. Olesen, J. Gonzales-Alonzo, J. Bülow, M. Kjær, Monitoring tissue oxygen availability with near infrared spectroscopy (NIRS) in health and disease, Scand J Med Sci Sports, 11:213- 222 (2001).
Pittman, R.N., Oxygen supply to contracting skeletal muscle at the microcirculatory level: diffusion vs. convection, Acta Physiol. Scand. 168, 593-602 (2000).
N. Lai, R.K. Dash, M.M. Nasca, G.M. Saidel, M.E. Cabrera, Relating pulmonary oxygen uptake to muscle oxygen consumption at exercise onset: in vivo and in silico studies, Eur J Appl Physiol 97: 380-394 (2006).
N. Lai, M. Camesasca, G.M. Saidel, R.K. Dash, M.E. Cabrera. Linking pulmonary oxygen uptake, muscle oxygen utilization and cellular metabolism during exercise, Ann Biomed Eng 35(6): 956-968 (2007).
N. Lai, G.M. Saidel, B. Grassi, L.B. Gladden, M.E. Cabrera, Model of oxygen transport and metabolism predicts effect of hyperoxia on canine muscle oxygen uptake dynamics, J Appl Physiol, 103:1366-1378 (2007).
S. Fantini, M.A Franceschini-Fantini, J.S. Maler, S.A. Walker, B. Barbieri, and E. Gratton, Frequencydomain multichannel optical detector for non-invasive tissue spectroscopy and oximetry, Opt Eng 34: 32-42, (1995).
P. Rolfe, In vivo near-infrared spectroscopy. Ann. Rev. Biomed Eng 2: 715-754, (2000).
D.M. Mancini, L. Bolinger, H. Li, K. Kendrick, B. Chance, and J.R. Wilson. Validation of near-infrared spectroscopy in humans, J Appl Physiol 77: 2740–2747 (1994).
T.K. Tran, N. Sailasuta, U. Kreutzer, R. Hurd, Y. Chung, P. Mole’, S. Kuno, and T. Jue, Comparative analysis of NMR and NIRS measurements of intracellular PO2 in human skeletal muscle, Am J Physiol Regul Integr Comp Physiol 276: R1682–R1690 (1999).
H. Miura, K. McCully, S. Nioka, and B. Chance, Relationship between muscle architectural features and oxygenation status determined by near infrared device, Eur J Appl Physiol 91: 273-278 (2004).
T. Hamaoka, K. Mccully, V. Quaresima, K. Yamamoto and B. Chance, Near-infrared spectroscopy/imaging for monitoring muscle oxygenation and oxidative metabolism in healthy and diseased humans, Journal of Biomedical Optics 12(6), 062105, 2007.
M. Wolf, M. Ferrari and V. Quaresima, Progress of near-infrared spectroscopy and topography for brain and muscle clinical applications, Journal of Biomedical Optics 12(6), 062104, 2007.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this paper
Cite this paper
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. In: Liss, P., Hansell, P., Bruley, D.F., Harrison, D.K. (eds) Oxygen Transport to Tissue XXX. Advances in Experimental Medicine and Biology, vol 645. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-85998-9_24
Download citation
DOI: https://doi.org/10.1007/978-0-387-85998-9_24
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-85997-2
Online ISBN: 978-0-387-85998-9
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)