Literature DB >> 7435436

A mathematical model of creatine metabolism in normal males--comparison between theory and experiment.

G I Lykken, R A Jacob, J M Munoz, H H Sandstead.   

Abstract

Based upon knowledge that the body creatine pool in normal males undergoes a constant fractional conversion rate to creatinine and that 24-hr urinary creatinine excretion is dependent upon creatine and protein intakes, we developed a mathematical model with feedback which describes the creatine pool size and, consequently, the 24-hr urinary creatinine excretion as a function of time after change in diet. Validity of the model was tested by comparing calculated with experimental changes in 24-hr urinary creatinine excretion rates of male volunteers who were participating in studies of effects of "high" and "low" protein diets on mineral requirements. The model was further verified by comparing published changes in creatinine excretion rates with changes predicted by the model. It is concluded that the effects of changes in creatine and protein intakes upon the body creatine pool size in healthy males can be described mathematically by a model with a feedback component. It is also cautioned that 24-hr urinary creatinine excretion may not be a good reference for quantifying other urinary substances under circumstances where the creatine or protein intakes are not constant.

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Year:  1980        PMID: 7435436     DOI: 10.1093/ajcn/33.12.2674

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  12 in total

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Review 2.  Techniques of measurement of body composition. Part II.

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3.  Urinary biomarkers of meat consumption.

Authors:  Amanda J Cross; Jacqueline M Major; Rashmi Sinha
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4.  Combining Urinary Biomarker Data From Studies With Different Measures of Urinary Dilution.

Authors:  Jordan R Kuiper; Katie M O'Brien; Barrett M Welch; Emily S Barrett; Ruby H N Nguyen; Sheela Sathyanarayana; Ginger L Milne; Shanna H Swan; Kelly K Ferguson; Jessie P Buckley
Journal:  Epidemiology       Date:  2022-04-25       Impact factor: 4.860

5.  For estimating creatinine clearance measuring muscle mass gives better results than those based on demographics.

Authors:  Andrew D Rule; Kent R Bailey; Gary L Schwartz; Sundeep Khosla; John C Lieske; L Joseph Melton
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6.  Similarities and differences of dietary and other determinants of iodine status in pregnant women from three European birth cohorts.

Authors:  Mariana Dineva; Margaret P Rayman; Deborah Levie; Mònica Guxens; Robin P Peeters; Jesus Vioque; Llúcia González; Mercedes Espada; Jesús Ibarluzea; Jordi Sunyer; Tim I M Korevaar; Sarah C Bath
Journal:  Eur J Nutr       Date:  2019-02-08       Impact factor: 5.614

7.  Urinary creatinine concentrations in the U.S. population: implications for urinary biologic monitoring measurements.

Authors:  Dana B Barr; Lynn C Wilder; Samuel P Caudill; Amanda J Gonzalez; Lance L Needham; James L Pirkle
Journal:  Environ Health Perspect       Date:  2005-02       Impact factor: 9.031

Review 8.  High sodium intake: review of recent issues on its association with cardiovascular events and measurement methods.

Authors:  Moo-Yong Rhee
Journal:  Korean Circ J       Date:  2015-05-27       Impact factor: 3.243

9.  Estimating 24-hour urinary sodium excretion from casual urinary sodium concentrations in Western populations: the INTERSALT study.

Authors:  Ian J Brown; Alan R Dyer; Queenie Chan; Mary E Cogswell; Hirotsugu Ueshima; Jeremiah Stamler; Paul Elliott
Journal:  Am J Epidemiol       Date:  2013-05-14       Impact factor: 4.897

10.  Creatine monohydrate in ALS: effects on strength, fatigue, respiratory status and ALSFRS.

Authors:  Jeffrey Rosenfeld; Ruth M King; Carlayne E Jackson; Richard S Bedlack; Richard J Barohn; Arthur Dick; Lawrence H Phillips; John Chapin; Deborah F Gelinas; Jau-Shin Lou
Journal:  Amyotroph Lateral Scler       Date:  2008-10
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