AJCN EB Program 2010
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Harvey, L. J
Right arrow Articles by Fairweather-Tait, S. J
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Harvey, L. J
Right arrow Articles by Fairweather-Tait, S. J
Agricola
Right arrow Articles by Harvey, L. J
Right arrow Articles by Fairweather-Tait, S. J
American Journal of Clinical Nutrition, Vol. 81, No. 4, 807-813, April 2005
© 2005 American Society for Clinical Nutrition


ORIGINAL RESEARCH COMMUNICATION

Use of mathematical modeling to study copper metabolism in humans1,2,3

Linda J Harvey, Jack R Dainty, Wendy J Hollands, Victoria J Bull, John H Beattie, Tony I Venelinov, Jurian A Hoogewerff, Ian M Davies and Susan J Fairweather-Tait

1 From the Institute of Food Research, Norwich Research Park, Norwich, United Kingdom (LJH, JRD, WJH, VJB, JAH, and SJF-T); Rowett Research Institute, Aberdeen, United Kingdom (JHB); Sofia University, Faculty of Chemistry, Sofia, Bulgaria (TIV); and the Fisheries Research Services Marine Laboratory, Aberdeen, United Kingdom (IMD)

Background: An improved understanding of copper metabolism is needed to derive more precise estimates of dietary requirements.

Objectives: The objectives were to validate a method for estimating endogenous losses of copper, test whether a simple model can predict true absorption from the plasma appearance of labeled copper, and develop a compartmental model for copper metabolism by using stable isotopes.

Design: A stable isotope of copper was intravenously administered to 6 men, and fecal samples were collected for 14 d. Four weeks later the study was repeated, but with an oral dose, and blood samples were collected for 7 d and fecal samples for 14 d.

Results: There was no significant difference (P = 0.48) in the estimated endogenous loss of copper calculated by using either the excreted intravenous dose ( ± SD: 32 ± 5%) or the absorbed and excreted oral dose (35 ± 2%). A simple mathematical model fitted to plasma isotope appearance data estimated true absorption to be 8 ± 2% compared with 48–49% measured by fecal monitoring. A more complicated compartmental model predicted that, when newly absorbed copper first enters the blood, 74% is removed by the liver and 99% is bound to ceruloplasmin in the plasma. The exchangeable pool of copper was estimated to be 43 ± 30 mg. Daily endogenous losses were predicted to be 2.4 mg.

Conclusions: The results showed that fecal monitoring is the only method that can reliably measure labeled copper absorption, and it is not necessary to administer an intravenous dose of copper to estimate endogenous losses. The compartmental model provides new insights into human copper metabolism.

Key Words: Copper • stable isotopes • men • compartmental modeling • endogenous losses • true absorption




This article has been cited by other articles:


Home page
Am. J. Clin. Nutr.Home page
L. J Harvey, J. R Dainty, W. J Hollands, V. J Bull, J. A Hoogewerff, R. J Foxall, L. McAnena, J. Strain, and S. J Fairweather-Tait
Effect of high-dose iron supplements on fractional zinc absorption and status in pregnant women
Am. J. Clinical Nutrition, January 1, 2007; 85(1): 131 - 136.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
W. S Watson and T. D. Lyon
Use of mathematical modeling to study copper metabolism in humans
Am. J. Clinical Nutrition, December 1, 2005; 82(6): 1357 - 1357.
[Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2005 by The American Society for Nutrition