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Mathematical Modeling in Experimental Nutrition

  • Andrew J. Clifford
  • Hans-Georg Müller

Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 445)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Theoretical Considerations in Compartmental Modeling

    1. Front Matter
      Pages 1-1
    2. Janet A. Novotny, Benjamin Caballero
      Pages 21-33
    3. Paolo Vicini, P. Hugh, R. Barrett, Claudio Cobelli, David M. Foster, Alan Schumitzky
      Pages 103-113
    4. Judah Rosenblatt
      Pages 115-129
    5. Meryl E. Wastney, D. C. Yang, D. F. Andretta, J. Blumenthal, J. Hylton, N. Canolty et al.
      Pages 131-135
  3. Statistical Modeling in Nutrition

    1. Front Matter
      Pages 137-137
    2. Raymond J. Carroll, Laurence S. Freedman, Victor Kipnis
      Pages 139-145
    3. Matthew R. Facer, Hans-Georg Müller, Andrew J. Clifford
      Pages 147-171
  4. Applications of Modeling

    1. Front Matter
      Pages 205-205
    2. Doris von Reinersdorff, Michael H. Green, Joanne Balmer Green
      Pages 207-223
    3. Betty Jane Burri, Jin-Young K. Park
      Pages 225-237
    4. Andrew J. Clifford, Ali Arjomand, Stephen R. Dueker, Philip D. Schneider, Bruce A. Buchholz, John S. Vogel
      Pages 239-251
    5. Leland V. Miller, Nancy F. Krebs, K. Michael Hambidge
      Pages 253-269
    6. Judith R. Turnlund, Katherine H. Thompson, Karen C. Scott
      Pages 271-281
    7. R. L. Baldwin, K. C. Donovan
      Pages 325-343
    8. Heide A. Johnson, C. C. Calvert, R. L. Baldwin
      Pages 345-359
  5. Chemical / Physical Analytical Methods

    1. Front Matter
      Pages 361-361
    2. Stephen R. Dueker, A. Daniel Jones, Andrew J. Clifford
      Pages 363-378
    3. John S. Vogel, Kenneth W. Turteltaub
      Pages 397-410
  6. Back Matter
    Pages 411-423

About this book

Introduction

Nutrients have been recognized as essential for maximum growth, successful reproduction, and infection prevention since the 1940s; since that time, the lion's share of nutrient research has focused on defining their role in these processes. Around 1990, however, a major shift began in the way that researchers viewed some nutrients­ particularly the vitamins. This shift was motivated by the discovery that modest declines in vitamin nutritional status are associated with an increased risk of ill-health and disease (such as neural tube defects, heart disease, and cancer), especially in those populations or individuals who are genetically predisposed. In an effort to expand upon this new understanding of nutrient action, nutritionists are increasingly turning their focus to the mathematical modeling of nutrient kinetic data. The availability of suitably-tagged (isotope) nutrients (such as B-carotene, vitamin A, folate, among others), sensitive analytical methods to trace them in humans (mass spectrometry and accelerator mass spectrometry), and powerful software (capable of solving and manipulating differential equations efficiently and accurately), has allowed researchers to construct mathematical models aimed at characterizing the dynamic and kinetic behavior of key nutrients in vivo in humans at an unparalleled level of detail.

Keywords

Vitamin Vitamin A cancer mathematical modeling metabolism nutrition prevention

Editors and affiliations

  • Andrew J. Clifford
    • 1
  • Hans-Georg Müller
    • 1
  1. 1.University of California at DavisDavisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4899-1959-5
  • Copyright Information Springer-Verlag US 1998
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4899-1961-8
  • Online ISBN 978-1-4899-1959-5
  • Series Print ISSN 0065-2598
  • Buy this book on publisher's site
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