AJP - Regu AJP: Endocrinology and Metabolism
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Am J Physiol Regul Integr Comp Physiol 249: R624-R633, 1985;
0363-6119/85 $5.00
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
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
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Daniels, F. H.
Right arrow Articles by Leonard, E. F.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Daniels, F. H.
Right arrow Articles by Leonard, E. F.

AJP - Regulatory, Integrative and Comparative Physiology, Vol 249, Issue 5 624-R633, Copyright © 1985 by American Physiological Society


ARTICLES

Formulating and evaluating quantitative models of control of sodium stores

F. H. Daniels, S. Cortell and E. F. Leonard

Numerous factors that influence sodium handling have been identified, and many have been studied in minute detail; however, relatively little information is available regarding either the steady-state relationship between dietary sodium intake and sodium stores or the transient response of intact animals to challenges to sodium homeostasis. In this paper the principles of elementary feedback control theory have been used both to obtain and analyze quantitative models of the feedback control of sodium stores. It has been assumed that the sodium content of the body determines the rate of urinary sodium excretion, and a mass balance has been used to obtain differential equations that describe the dynamics of sodium stores. Both first- and second-order models are considered, and their predictions for both steady states and transients are compared critically with observations from the literature, using data from human studies whenever possible. The results indicate that a relatively simple proportional feedback controller describes most available data well; however, gaps in the available information are identified, and opportunities for future experimental investigation are described.





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online