Abstract
STELLA® and similar computer programs allow one to use modeling and simulation as a tool for thinking. However, no one has time to squander; our modeling should have a purpose. Also, in coming to grips with questions, one must consider the rich source of data that is already available in the scientific literature. Modeling has been used as a quantitative tool to answer many significant medical questions, and simulation programs such as STELLA® may be used to interpret this information. Much of this information has been reported in a format derived from compartmental analysis. The purpose of this chapter is to introduce this method and ideas about using STELLA® to help interpret this kinetic information. Let us note that the comment quoted above concerning model development and testing implies a need to apply statistical methods to ensure that a model functions in a robust manner. However, it is reasonable for the student to use models that have already been developed with these research methods.
It is … by model development and testing that the true power of modeling as a research tool reveals itself.
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References
Baker, E.M., R.E. Hodges, J. Hood, H.E. Sauberlich, and S.C. March. “Metabolism of ascorbic-1-14C-acid in experimental human scurvy.” Am. J. Clin. Nutr. 22 (1969): 549–558.
Berman, M., S.M. Grundy, and B.V. Howard, eds. Lipoprotein Kinetics and Modeling. New York: Academic Press, 1982.
Coburn, S.P., and D.W. Townsend. “Mathematical modeling in experimental nutrition: Vitamins, proteins, methods.” Adv. Food Nutr. Res. 40, San Diego: Academic Press, 1996.
Foster, D.M., and G. Hetneyi, Jr. “Role of modeling in the design of experiments in carbohydrate metabolism.”JPEN-J. Parenter. Enterai Nutr. 15 (1991): 67S–71S.
Gerster, H. “Human vitamin C requirements.” Ztsch. Ernahrungswissenschaft 26 (1987): 125–137.
Green, M.H., and J.B. Green. “The application of compartmental analysis to research in nutrition.” Annu. Rev. Nutr. 10 (1990): 41–61.
Kallner, A., D. Hartmann, and D. Hornig. “Steady state turnover and body pool of ascorbic acid in man.” Am.J. Clin. Nutr. 32 (1979): 530–539.
Levine, M. “New concepts in the biology and biochemistry of ascorbic acid.” N. Engl. J. Med. 314 (1986): 892–902.
Levine, M., K.R. Dhariwal, P. W. Washko, J. De B. Butler, R.W. Welch, Y. Wang, and P. Bergsten. “Ascorbic acid and in situ kinetics: a new approach to vitamin requirements.” Am.J. Clin. Nutr. 54(1991) 1157S–1162S.
Mazier, M.J.P., and P.J.H. Jones, “Model-based compartmental analyses in nutrition research.” Can. J. Physiol. Pharmacol. 72 (1994): 415–422.
Nishikimi, M., R. Fukuyama, S. Minoshima, N. Shimizu, and K. Yagi. “Cloning and chromosomal mapping of human nonfunctional gene for L-gulono-gamma-lactone oxidase, the enzyme for L-ascorbic acid biosynthesis missing in man.” J. Biol. Chem. 269 (1994): 13685–13688.
Piotrovskij, V.K., Z. Kallay, M. Gajdos, M. Gerykova, and T. Trnovec. “The use of a nonlinear absorption model in the study of ascorbic acid bioavailability in man.” Biopharmaceutics Drug Disp. 14 (1993): 429–442.
Zech, L.A., R.C. Boston, and D.M. Foster, “The methodology of compartmental modeling as applied to the investigation of lipoprotein metabolism.” Meth. Enzymol. 129 (1986): 366–383.
Zech, L.A., D.J. Rader, and P.C. Greif, “Berman’s simulation analysis and modeling.” Adv. Exp. Med. Biol. 285 (1991): 188–199.
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Hargrove, J.L. (1998). Compartmental Models in Metabolic Studies: Vitamin C. In: Dynamic Modeling in the Health Sciences. Modeling Dynamic Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1644-5_19
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DOI: https://doi.org/10.1007/978-1-4612-1644-5_19
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