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Insulin Control of Glucose Metabolism in Man
Open accessAbstract
Analyses of the control of glucose metabolism by insulin have been hampered by changes in bloog glucose concentration induced by insulin administration with resultant activation of hypoglycemic counterregulatory mechanisms. To eliminate such mechanisms, we have employed the glucose clamp technique which allows maintenance of fasting blood glucose concentration during and after the administration of insulin. Analyses of six studies performed in young healthy men in the postabsorptive state utilizing the concurrent administration of [14C]glucose and 1 mU/kg per min (40 mU/m2 per min) porcine insulin led to the development of kinetic models for insulin and for glucose. These models account quantitatively for the control of insulin on glucose utilization and on endogenous glucose production during nonsteady states. The glucose model, a parallel three-compartment model, has a central compartment (mass = 68 +/- 7 mg/kg; space of distribution = blood water volume) in rapid equilibrium with a smaller compartment (50 +/- 17 mg/kg) and in slow equilibrium with a larger compartment (96 +/-21 mg/kg). The total plasma equivalent space for the glucose system averaged 15.8 liters or 20.3% body weight. Two modes of glucose loss are introduced in the model. One is a zero-order loss (insulin and glucose independent) from blood to the central nervous system; its magnitude was estimated from published data. The other is an insulin-dependent loss, occurring from the rapidly equilibrating compartment and, in the basal period, is smaller than the insulin-independent loss. Endogenous glucose production averaged 1.74 mg/kg per min in the basal state and enters the central compartment directly. During the glucose clamp experiments plasma insulin levels reached a plateau of 95 +/-8 microU/ml. Over the entire range of insulin levels studied, glucose losses were best correlated with levels of insulin in a slowly equilibrating insulin compartment of a three-compartment insulin model. A proportional control by this compartment on glucose utilization was adequate to satisfy the observed data. Insulin also rapidly decreased the endogenous glucose production to 33% of its basal level (0.58 mg/kg per min), this suppression being maintained for at least 40 min after exogenous insulin infusion was terminated and after plasma insulin concentrations had returned to basal levels. The change in glucose utilization per unit change in insulin in the slowly equilibrating insulin compartment is proposed as a new measure for insulin sensitivity. This defines insulin effects more precisely than previously used measures, such as plasma glucose/plasma insulin concentration ratios. Glucose clamp studies and the modeling of the coupled kinetics of glucose and insulin offers a new and potentially valuable tool to the study of altered states of carbohydrate metabolism.
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“During the past decade, several laboratories have approached this problem by breaking the feedback relationship, either by pharmacological suppression of pancreatic insulin secretion (10) or by external feedback control (glucose clamp) to circumvent the effect of plasma insulin to change plasma glucose (11).”
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Cites
Somogyi, M. (1945) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)43098-0 · Cited by 1,788
Insulin interactions with its receptors: Experimental evidence for negative cooperativity
MEYTS, P. D., Roth, J., Neville, D. M., Gavin, J. R., & Lesniak, M. A. (1973) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(73)80072-5 · Cited by 721
The Dietary History as a Tool in Research1
BURKE, B. S. (1947) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(21)43949-0 · Cited by 625
ON THE HORMONAL REGULATION OF CARBOHYDRATE METABOLISM; STUDIES WITH C14 GLUCOSE.
DeBodo, R. C., Steele, R., ALTSZULER, N., Dunn, A., & Bishop, J. (1963) · PubMed · Cited by 532
Freychet, P., Roth, J., & Neville, D. M. (1971) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.68.8.1833 · Cited by 500
Shen, S.-W., Reaven, G. M., & Farquhar, J. W. (1970) · Journal of Clinical Investigation · doi:10.1172/jci106433 · Cited by 494
A model of the kinetics of insulin in man
Sherwin, R. S., Kramer, K. J., Tobin, J. D., Insel, P. A., Liljenquist, J. E., Berman, M., & Andres, R. (1974) · Journal of Clinical Investigation · doi:10.1172/jci107697 · Cited by 460
Self-citationScheinberg, P., & Stead, E. A. (1949) · Journal of Clinical Investigation · doi:10.1172/jci102150 · Cited by 363
Influence of endogenous insulin secretion on splanchnic glucose and amino acid metabolism in man
Felig, P., & Wahren, J. (1971) · Journal of Clinical Investigation · doi:10.1172/jci106659 · Cited by 269
Andres, R. (1971) · Medical Clinics of North America · doi:10.1016/s0025-7125(16)32479-8 · Cited by 232
Self-citation
Cited by
Sorted by citations
Items 201–243 of 243
A Model for the Study of Glucose Kinetics in Non-Steady State
Mari, A., Cobelli, C., Cherrington, A. D., & McGuinness, O. P. (1988) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)57580-1 · Cited by 3
A Computational Glucoregulatory Model of Liver and Glucagon for the Evaluation of Therapeutics
Gong, X., Alizadehmojarad, A. A., Machado, M., Yang, S., & Strano, M. S. (2025) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.5c00177 · Cited by 2
Can hypoglycaemia be predicted before its onset? (Comment)
Maggs, D. G. (1996) · Diabetologia · doi:10.1007/bf00403311 · Cited by 2
Vega-Catalan, F. J. (1990) · Computers and Biomedical Research · doi:10.1016/0010-4809(90)90002-t · Cited by 2
Frayn, K. N., & Heath, D. F. (1976) · The Lancet · doi:10.1016/s0140-6736(76)92454-5 · Cited by 2
Somatostatin Enhances Insulin-Mediated Glucose Disposal in Elderly Subjects*
Meneilly, G. S., Elahi, D., Minaker, K. L., & Rowe, J. W. (1988) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-67-2-407 · Cited by 2
Razak, A. R. B. A. (2012) · UC Research Repository (University of Canterbury) · doi:10.26021/2810 · Cited by 2
Model and analysis: Diabetes and obesity
Al-Hashmi, S. (2007) · ThinkTech (Texas Tech University) · Cited by 2
A systems engineering approach to coronary heart disease
Mathews, M. J. (2015) · Cited by 2
Models for the Estimation of Glucose Fluxes in Non-Steady State from Concentration Measurements
Cobelli, C., & Mari, A. (1987) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)55234-9 · Cited by 2
Glucose Tolerance Tests Modeling
Ghista, D. N., & Sarma, D. (2008) · CRC Press eBooks · doi:10.1201/9781420020212.ch9 · Cited by 1
Whole Body Energy Metabolism in the Hyperdynamic Phase of Sepsis
Heath, D. F., & Little, R. (1987) · Update in intensive care and emergency medicine · doi:10.1007/978-3-642-83108-9_17 · Cited by 1
Surface Recognition: Receptors and Disease
Hollenberg, M. D. (1986) · Elsevier eBooks · doi:10.1016/b978-0-12-185204-7.50007-6 · Cited by 1
A View of the History of Biology From an Islet of Langerhans
Tepperman, J. (1988) · Springer eBooks · doi:10.1007/978-1-4614-7436-4_11 · Cited by 1
Intravenous glucose tolerance and maintenance haemodialysis.
Ferrannini, E., PILO, A., Buzzigoli, G., Boni, C. D., & Tuoni, M. (1977) · BMJ · doi:10.1136/bmj.2.6090.803 · Cited by 1
Volpicelli, Iannello, & Belfiore (1999) · Clinical Physiology · doi:10.1046/j.1365-2281.1999.00144.x · Cited by 1
Heritability of type 2 diabetes and related traits
Lehtovirta, M. (2014) · Työväentutkimus Vuosikirja
BASREP: a method for maintaining euglycemia during somatostatin suppression of pancreatic secretion
Pacini, G., Ader, M., & Bergman, R. N. (1992) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(92)90092-l
Colburn, W. A., Hayton, W. L., & Gibaldi, M. (1978) · International Journal of Pharmaceutics · doi:10.1016/0378-5173(78)90006-6
Separation of physiological factors influencing glucose insulin kinetics in diabetic patients
Min, B. G., Woo, E. J., Lee, H. K., & Min, H. K. (1985) · Annals of Biomedical Engineering · doi:10.1007/bf02584238
Albergoni, V., Cobelli, C., & Lepschy, A. (1981) · Toxicological & Environmental Chemistry Reviews · doi:10.1080/02772248109356965
Clinical pharmacology of insulin confounds stroke trials
Bebawy, J. F., Ramaiah, V. K., Hemmer, L. B., & Gupta, D. K. (2011) · Annals of Neurology · doi:10.1002/ana.22377
Impacto do volume de gordura aspirado na resistência insulínica após lipoaspiração
Oliveira, S. D. S., Cibantos, J. S., Ripari, W. T., & de Aguilar‐Nascimento, J. E. (2013) · Revista do Colégio Brasileiro de Cirurgiões · doi:10.1590/s0100-69912013000100004
Ryan, A. S., Muller, D. C., Elahi, D., Meneilly, S., Egan, J. M., Berman, D. M., Nicklas, B. J., Sinha, M. K., Gingerich, R. L., Meneilly, G. S., et al. (2015)
Robust Modelling of the Glucose-Insulin System for Tight Glycemic Control of Critical Care Patients
Lin, J. (2007) · UC Research Repository (University of Canterbury) · doi:10.26021/1585
Role of the Artificial Pancreas in the Understanding of the Mode of Action of Insulin
Lambotte, L. (1983) · Lecture notes in medical informatics · doi:10.1007/978-3-642-48334-9_15
Physiologic Evaluation of Factors Controlling
Bergman, R. N., Phillips, L. S., & Cobelli, C. (1981)
Szurkus, D. C., Neal, D. W., Cherrington, A. D., Hsieh, P., Moore, M. C., Marshall, B. A., & Pagliassotti, M. J. (2016)
Modeling of OGTT Blood Glucose and Insulin Responses and Diagnostic Indices
Ghista, D. N., Loh, K. M., & Sankaranarayanan, M. (2008) · CRC Press eBooks · doi:10.1201/9781420020212-14
insulin secretion and resistance. Glucose clamp technique: a method for quantifying
DeFronzo, R. A., Tobin, J. D., & Andres, R. (2016)
Self-citationInsulin secretion : regulation of paracrine interrelation
Tan, K. S. (1982) · Surrey Research Insight Open Access (The University of Surrey)
Intolerance in Normal Humans ROLE OF THE SPLANCHNIC BED
Saccà, L., Vigorito, C., Cicala, M., Ungaro, B., & Sherwin, R. S. (1982)
Self-citationFeasibility of Open-loop Blood Glucose Control
Deutsch, T., Vajda, S., & Tamás, G. (1984) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)61451-4
A New Approach for Viewing Non-Steady State Dynamics
Boroujerdi, M. A., Carson, E. R., & Sönksen, P. H. (1988) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)57576-x
Mori, H., & Kitamura, S. (1988) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)54898-3
A New Model Predictive Control for the Artificial Pancreas
Capocelli, M., Santis, L. D., & Piemonte, V. (2018) · International Journal of Bioscience Biochemistry and Bioinformatics · doi:10.17706/ijbbb.2018.8.4.195-201
Studies on the regulation of insulin secretion by glucagon
Tsiolakis, D. (1979) · Surrey Research Insight Open Access (The University of Surrey)
Differences in Effect of Insulin Detemir and NPH Insulin on Glucose and Lipid Metabolism.
Hodern, S. V. M. (2004) · Surrey Research Insight Open Access (The University of Surrey)
経静脈糖負荷試験時の血中ブドウ糖, インスリン動態の解析 2インスリン・コンパートメント・モデルによるパラメータ同定
英樹, 森., 大竹, 邦., & 新三, 北. (1984) · 糖尿病 · doi:10.11213/tonyobyo1958.27.653
The Role of Central Glucagon Signaling in the Regulation of Glucose Homeostasis
Mighiu, P. I. (2012) · TSpace (University of Toronto)
Ang, M. (2016) · SpringerBriefs in systems biology · doi:10.1007/978-3-319-27898-8_3
Modeling of OGTT Blood Glucose and Insulin Responses and Diagnostic Indices
Loh, K. M., Ghista, D. N., & Sankaranarayanan, M. (2008) · CRC Press eBooks · doi:10.1201/9781420020212.ch10
Glucose-Insulin Regulatory Kinetics
Loh, K. M., Ghista, D. N., & Su, B. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-95884-4.00010-x
Metadata
- Authors
- Insel, P. A., Liljenquist, J. E., Tobin, J. D., Sherwin, R. S., Watkins, P., Andres, R., & Berman, M.
- Affiliations
- National Institutes of Health (US)
- Venue
- Journal of Clinical Investigation
- Published
- 1975-05-01
- Volume
- 55
- Issue
- 5
- Pages
- 1057-1066
- ISSN
- 0021-9738 (ISSN-L)
- PMC
- PMC301852
- OpenAlex
- W1860443407
- Cited by
- 244
- References
- 45
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 2 · 2018: 3 · 2017: 2 · 2016: 6 · 2015: 4 · 2014: 3 · 2013: 1 · 2012: 4
- FWCI
- 12.50
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Clinical Investigation (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- insulin, glucose metabolism, glucose utilization, endogenous glucose production, insulin sensitivity, glucose kinetics, insulin kinetics, hypoglycemic counterregulation, postabsorptive state, glucose clamp, kinetic modeling, hyperinsulinemic-euglycemic clamp
- MeSH terms
- Adolescent, Adult, Blood Glucose, Carbon Radioisotopes, Glucose, Glucose Tolerance Test, Humans, Infusions, Intravenous, Insulin, Kinetics, Male, Glucose Clamp Technique, Feedback, Physiological
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