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A novel minimal model to describe non-esterified fatty acid kinetics in Holstein dairy cows

Published online by Cambridge University Press:  09 October 2007

Raymond C Boston ,
John R Roche ,
Glen M Ward  and
Peter J Moate
Raymond C Boston*
Affiliation:
University of Pennsylvania, New Bolton Center, Kennett Square, PA 19348, USA
John R Roche
Affiliation:
University of Tasmania, Burnie, Tasmania, Australia, 7320 Dexcel, Private Bag 3221, Hamilton, New Zealand
Glen M Ward
Affiliation:
St Vincent's Hospital, Melbourne, Australia
Peter J Moate
Affiliation:
University of Pennsylvania, New Bolton Center, Kennett Square, PA 19348, USA
*
*For correspondence; e-mail: drrayboston@yahoo.com
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Abstract

The dynamics of non-esterified fatty acid (NEFA) metabolism in lactating dairy cows requires quantification if we are to understand how dietary treatments and disease influence changes in body condition (adipose reserves) and the production of milk fat. We present here a novel compartmental model that employs the pattern of plasma glucose concentrations to predict the dynamic changes that occur in plasma NEFA concentrations during an intravenous glucose tolerance test (IVGTT) in lactating dairy cows. The model was developed using data obtained from ten early-lactation, Holstein-Friesian cows given a standard IVGTT. The model described all of the major features of the NEFA response to an IVGTT; it was consistent with physiological processes and provided a number of parameters that can be used to quantify NEFA production and utilization. For all of the individual cows, all model parameters were well identified and usually had CV<10% of their estimated values. In the model, elevated plasma glucose concentrations cause an increase in the level of glucose in a remote compartment, which in turn suppresses the rate of entry of NEFA to the plasma compartment. The means (±sd) for the five adjustable parameters of the model were: rate of entry of NEFA to the plasma pool (SFFA) 183±71 [μmol l−1 min−1], rate of removal (oxidation, sequestration in adipose tissue and uptake by the mammary gland for milk production) of NEFA from the plasma pool (KFFA) 0·140±0·047 [min−1], a threshold parameter (gs) representing a plasma glucose concentration above which elevated levels of plasma glucose result in entry of glucose into a ‘remote’ or inaccessible glucose compartment, 3·30±0·52 [mmol/l], a rate constant (K) describing the movement of plasma glucose (above gs) into a remote compartment 0·063±0·033 [min−1] and a parameter Φ which is a Michaelis Menten type affinity constant which modulates the extent to which remote glucose inhibits the provision of NEFA to the plasma pool, 0·812±0·276 [mmol/l]. It is concluded that the model is suitable to describe NEFA kinetics in lactating dairy cows and it may have application in other species.

Keywords

NEFA kineticscompartmental modelglucose tolerance test
Type
Research Article
Information
Journal of Dairy Research , Volume 75 , Issue 1 , February 2008 , pp. 13 - 18
Copyright
Copyright © Proprietors of Journal of Dairy Research 2007

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References

Allen, MS, Bradford, BJ & Harvatine, KJ 2005 The cow as a model to study food intake regulation. Annual Reviews in Nutrition 25 523–547CrossRefGoogle Scholar
Bergman, RN & Bowden, CR 1981 The minimal model approach to quantification of factors controlling glucose disposal in man. In Carbohydrate Metabolism, pp. 269–296 (Eds Cobelli, C & Bergman, RN). New York, USA: WileyGoogle Scholar
Bergman, RN, Ider, YZ, Bowden, CR & Cobelli, C 1979 Quantitative estimation of insulin sensitivity. American Journal of Physiology 236 E667–677Google ScholarPubMed
Boston, RC, Moate, PJ & Stefanovski, D 2006 Modeling the glucose challenge in dairy cows. Canadian Journal of Animal Science 86 569Google Scholar
Bernard, SF, Orvoine, J & Groscolas, R 2003 Glucose regulates lipid metabolism in fasting king penguins. American Journal of Physiology – Regulatory, Integrative and Comparative Physiology 285 313–320CrossRefGoogle ScholarPubMed
Dunshea, FR, Bell, AW & Trigg, TE 1990 Non-esterified fatty acid and glycerol kinetics and fatty acid re-esterification in goats during early lactation. British Journal of Nutrition 64 133–145CrossRefGoogle ScholarPubMed
Ferrannini, ES, Camastra, S, Coppack, SW, Flisher, D, Golay, A & Mitrakou, A 1997 Insulin action and non-esterified fatty acids. Proceedings of the Nutrition Society 56 753–761CrossRefGoogle ScholarPubMed
Frayn, KN, Coppack, SW, Fielding, BA & Humphreys, SM 1995 Coordinated regulation of hormone-sensitive lipase and lipoprotein lipase in human adipose tissue in vivo: implications for the control of fat storage and fat mobilization. Advances in Enzyme Regulation 35 163–178CrossRefGoogle ScholarPubMed
Frohl, DM & Blum, JW 1988 Non-esterified fatty acids and glucose in lactating cows: diurnal variations and changes in responsiveness during fasting to epinephrine and effects of beta-andrenergic blockade. Journal of Dairy Science 71 1170–1177CrossRefGoogle Scholar
Kerr, D, MacDonald, IA & Tattersall, RB 1989 Influence of duration of hypoglycemia on the hormonal counterregulatory response in normal subjects. Journal of Clinical Endocrinology and Metabolism 68 1118–1122CrossRefGoogle ScholarPubMed
Lemsoquet, SN, Rideau, N, Rulquin, H, Faverdin, P, Simon, J & Verite, R 1997 Effects of duodenal glucose infusion on the relationship between plasma concentrations of glucose and insulin in dairy cows. Journal of Dairy Science 80 2854–2865CrossRefGoogle Scholar
Moate, PJ, Roche, JR, Chagas, LM & Boston, RC 2007 Evaluation of a compartmental model to describe non-esterified fatty acid kinetics in Holstein dairy cows. Journal of Dairy Research In pressCrossRefGoogle ScholarPubMed
Oikawa, S & Oetzel, GR 2006 Decreased insulin response in dairy cows following a four-day fast to induce hepatic lipidosis. Journal of Dairy Science 89 2999–3005CrossRefGoogle ScholarPubMed
Opsomer, G, Wensing, T, Laevens, H, Coryn, M & de Kruif, A 1999 Insulin resistance: the link between metabolic disorders and cystic ovarian disease in high yielding dairy cows? Animal Reproduction Science 56 211–222CrossRefGoogle ScholarPubMed
Park, KS, Rhee, BD, Lee, KU, Lee, HK, Koh, CS & Min, HK 1990 Hyperglycemia per se can reduce plasma free fatty acid and glycerol levels in the acutely insulin deficient dog. Metabolism 39 595–597CrossRefGoogle Scholar
Roy, A & Parker, RS 2006 Dynamic modeling of free fatty acid, glucose and insulin: An extended ‘Minimal Model’. Diabetes Technology and Therapeutics 8 617–626CrossRefGoogle ScholarPubMed
Randle, PJ, Garland, PB, Hales, CN & Newsholme, EA 1963 The glucose fatty acid cycle: its role in insulin sensitivity and metabolic disturbances of diabetes mellitus. Lancet i 785–789CrossRefGoogle Scholar
Sechen, SJ, McCutcheon, SN & Bauman, DE 1989 Response to metabolic challenges in early lactation dairy cows during treatment with bovine somatotrophin. Domestic Animal Endocrinology 6 141–154CrossRefGoogle Scholar
Stata 2006 Stata Statistical Software. Release 7.0 Edn, Stata Corporation, College Station, TexasGoogle Scholar
Stefanovski, D, Moate, PJ & Boston, RC 2003 WinSAAM: A windows-based compartmental modeling system. Metabolism 52 1153–1166CrossRefGoogle ScholarPubMed
Sumner, AE, Bergman, RN, Vega, GL, Genovese, DJ, Cochran, CS, Pacak, K, Watanabe, RM & Boston, RC 2004 The multiphasic profile of free fatty acids during the intravenous glucose tolerance test is unresponsive to exogenous insulin. Metabolism 53 1202–1207CrossRefGoogle ScholarPubMed
Thomaseth, K & Pavan, A 2003 Model-based analysis of glucose and free fatty acid kinetics during glucose tolerance tests. In Mathematical Modeling in Nutrition and Toxicology, pp. 21–40 (Eds Hargrove, JL & Berdanier, CD). Athens GA, USA: Mathematical Biology PressGoogle Scholar