The Oral Minimal Model Method
The simultaneous assessment of insulin action, secretion, and hepatic extraction is key to understanding postprandial glucose metabolism in nondiabetic and diabetic humans. We review the oral minimal method (i.e., models that allow the estimation of insulin sensitivity, β-cell responsivity, and hepa...
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Published in | Diabetes (New York, N.Y.) Vol. 63; no. 4; pp. 1203 - 1213 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Alexandria, VA
American Diabetes Association
01.04.2014
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Subjects | |
Online Access | Get full text |
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Abstract | The simultaneous assessment of insulin action, secretion, and hepatic extraction is key to understanding postprandial glucose metabolism in nondiabetic and diabetic humans. We review the oral minimal method (i.e., models that allow the estimation of insulin sensitivity, β-cell responsivity, and hepatic insulin extraction from a mixed-meal or an oral glucose tolerance test). Both of these oral tests are more physiologic and simpler to administer than those based on an intravenous test (e.g., a glucose clamp or an intravenous glucose tolerance test). The focus of this review is on indices provided by physiological-based models and their validation against the glucose clamp technique. We discuss first the oral minimal model method rationale, data, and protocols. Then we present the three minimal models and the indices they provide. The disposition index paradigm, a widely used β-cell function metric, is revisited in the context of individual versus population modeling. Adding a glucose tracer to the oral dose significantly enhances the assessment of insulin action by segregating insulin sensitivity into its glucose disposal and hepatic components. The oral minimal model method, by quantitatively portraying the complex relationships between the major players of glucose metabolism, is able to provide novel insights regarding the regulation of postprandial metabolism. |
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AbstractList | The simultaneous assessment of insulin action, secretion, and hepatic extraction is key to understanding postprandial glucose metabolism in nondiabetic and diabetic humans. We review the oral minimal method (i.e., models that allow the estimation of insulin sensitivity, β-cell responsivity, and hepatic insulin extraction from a mixed-meal or an oral glucose tolerance test). Both of these oral tests are more physiologic and simpler to administer than those based on an intravenous test (e.g., a glucose clamp or an intravenous glucose tolerance test). The focus of this review is on indices provided by physiological-based models and their validation against the glucose clamp technique. We discuss first the oral minimal model method rationale, data, and protocols. Then we present the three minimal models and the indices they provide. The disposition index paradigm, a widely used β-cell function metric, is revisited in the context of individual versus population modeling. Adding a glucose tracer to the oral dose significantly enhances the assessment of insulin action by segregating insulin sensitivity into its glucose disposal and hepatic components. The oral minimal model method, by quantitatively portraying the complex relationships between the major players of glucose metabolism, is able to provide novel insights regarding the regulation of postprandial metabolism. The simultaneous assessment of insulin action, secretion, and hepatic extraction is key to understanding postprandial glucose metabolism in nondiabetic and diabetic humans. We review the oral minimal method (i.e., models that allow the estimation of insulin sensitivity, [beta]-cell responsivity, and hepatic insulin extraction from a mixed-meal or an oral glucose tolerance test). Both of these oral tests are more physiologic and simpler to administer than those based on an intravenous test (e.g., a glucose clamp or an intravenous glucose tolerance test). The focus of this review is on indices provided by physiological-based models and their validation against the glucose clamp technique. We discuss first the oral minimal model method rationale, data, and protocols. Then we present the three minimal models and the indices they provide. The disposition index paradigm, a widely used [beta]-cell function metric, is revisited in the context of individual versus population modeling. Adding a glucose tracer to the oral dose significantly enhances the assessment of insulin action by segregating insulin sensitivity into its glucose disposal and hepatic components. The oral minimal model method, by quantitatively portraying the complex relationships between the major players of glucose metabolism, is able to provide novel insights regarding the regulation of postprandial metabolism. Diabetes 2014;63:1203-1213 | DOI: 10.2337/db13-1198 The simultaneous assessment of insulin action, secretion, and hepatic extraction is key to understanding postprandial glucose metabolism in nondiabetic and diabetic humans. We review the oral minimal method (i.e., models that allow the estimation of insulin sensitivity, β-cell responsivity, and hepatic insulin extraction from a mixed-meal or an oral glucose tolerance test). Both of these oral tests are more physiologic and simpler to administer than those based on an intravenous test (e.g., a glucose clamp or an intravenous glucose tolerance test). The focus of this review is on indices provided by physiological-based models and their validation against the glucose clamp technique. We discuss first the oral minimal model method rationale, data, and protocols. Then we present the three minimal models and the indices they provide. The disposition index paradigm, a widely used β-cell function metric, is revisited in the context of individual versus population modeling. Adding a glucose tracer to the oral dose significantly enhances the assessment of insulin action by segregating insulin sensitivity into its glucose disposal and hepatic components. The oral minimal model method, by quantitatively portraying the complex relationships between the major players of glucose metabolism, is able to provide novel insights regarding the regulation of postprandial metabolism.The simultaneous assessment of insulin action, secretion, and hepatic extraction is key to understanding postprandial glucose metabolism in nondiabetic and diabetic humans. We review the oral minimal method (i.e., models that allow the estimation of insulin sensitivity, β-cell responsivity, and hepatic insulin extraction from a mixed-meal or an oral glucose tolerance test). Both of these oral tests are more physiologic and simpler to administer than those based on an intravenous test (e.g., a glucose clamp or an intravenous glucose tolerance test). The focus of this review is on indices provided by physiological-based models and their validation against the glucose clamp technique. We discuss first the oral minimal model method rationale, data, and protocols. Then we present the three minimal models and the indices they provide. The disposition index paradigm, a widely used β-cell function metric, is revisited in the context of individual versus population modeling. Adding a glucose tracer to the oral dose significantly enhances the assessment of insulin action by segregating insulin sensitivity into its glucose disposal and hepatic components. The oral minimal model method, by quantitatively portraying the complex relationships between the major players of glucose metabolism, is able to provide novel insights regarding the regulation of postprandial metabolism. The simultaneous assessment of insulin action, secretion, and hepatic extraction is key to understanding postprandial glucose metabolism in nondiabetic and diabetic humans. We review the oral minimal method (i.e., models that allow the estimation of insulin sensitivity, β-cell responsivity, and hepatic insulin extraction from a mixed-meal or an oral glucose tolerance test). Both of these oral tests are more physiologic and simpler to administer than those based on an intravenous test (e.g., a glucose clamp or an intravenous glucose tolerance test). The focus of this review is on indices provided by physiological-based models and their validation against the glucose clamp technique. We discuss first the oral minimal model method rationale, data, and protocols. Then we present the three minimal models and the indices they provide. The disposition index paradigm, a widely used β-cell function metric, is revisited in the context of individual versus population modeling. Adding a glucose tracer to the oral dose significantly enhances the assessment of insulin action by segregating insulin sensitivity into its glucose disposal and hepatic components. The oral minimal model method, by quantitatively portraying the complex relationships between the major players of glucose metabolism, is able to provide novel insights regarding the regulation of postprandial metabolism. Diabetes 2014;63:1203-1213 | DOI: 10.2337/db13-1198 |
Audience | Professional |
Author | Dalla Man, Chiara Vella, Adrian Toffolo, Gianna Rizza, Robert Basu, Rita Cobelli, Claudio |
Author_xml | – sequence: 1 givenname: Claudio surname: Cobelli fullname: Cobelli, Claudio organization: Department of Information Engineering, University of Padova, Padova, Italy – sequence: 2 givenname: Chiara surname: Dalla Man fullname: Dalla Man, Chiara organization: Department of Information Engineering, University of Padova, Padova, Italy – sequence: 3 givenname: Gianna surname: Toffolo fullname: Toffolo, Gianna organization: Department of Information Engineering, University of Padova, Padova, Italy – sequence: 4 givenname: Rita surname: Basu fullname: Basu, Rita organization: Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, MN – sequence: 5 givenname: Adrian surname: Vella fullname: Vella, Adrian organization: Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, MN – sequence: 6 givenname: Robert surname: Rizza fullname: Rizza, Robert organization: Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, MN |
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Cites_doi | 10.2337/db06-1272 10.1152/ajpendo.00705.2009 10.1152/ajpendo.00486.2007 10.1152/ajpendo.00319.2003 10.2337/db12-0923 10.2337/db05-1692 10.1152/ajpendo.00033.2006 10.1152/ajpendo.00139.2011 10.2337/diabetes.53.5.1201 10.1152/ajpendo.00299.2004 10.1038/oby.2010.44 10.1172/JCI110398 10.2337/db11-1478 10.2337/db12-1759 10.1055/s-0033-1337988 10.1109/10.995680 10.1038/oby.2008.496 10.2337/db06-1776 10.1152/ajpendo.00473.2004 10.1111/j.1365-2265.2009.03764.x 10.2337/db11-1677 10.1152/ajpendo.00421.2006 10.1152/ajpendo.00093.2002 10.2337/dc08-1826 10.1152/ajpendo.90340.2008 10.2337/diabetes.50.1.150 10.2337/diabetes.41.3.368 10.1152/ajpendo.00670.2009 10.2337/dc08-1274 10.2337/dc12-0840 10.2337/dc08-1512 10.1111/j.1365-2265.2011.04159.x 10.2337/diabetes.54.11.3265 10.2337/db06-0319 10.1152/ajpendo.90842.2008 10.1152/ajpendo.00076.2005 10.1016/S0005-1098(96)00254-3 10.1073/pnas.0608537103 10.1056/NEJMoa054629 10.2337/diab.44.7.845 |
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References | Cali (2022031210482469400_B38) 2009; 32 Dalla Man (2022031210482469400_B7) 2005; 289 Sathananthan (2022031210482469400_B2) 2012; 76 Breda (2022031210482469400_B20) 2001; 50 Cobelli (2022031210482469400_B13) 1999; 277 Bock (2022031210482469400_B41) 2007; 56 Dalla Man (2022031210482469400_B15) 2004; 287 Hinshaw (2022031210482469400_B44) 2013; 62 Toffolo (2022031210482469400_B11) 2006; 290 Dalla Man (2022031210482469400_B34) 2013 Bergman (2022031210482469400_B5) 1979; 236 Mari (2022031210482469400_B25) 2002; 283 Basu (2022031210482469400_B42) 2009; 32 Pillonetto (2022031210482469400_B18) 2006 Dalla Man (2022031210482469400_B14) 2002; 49 Van Cauter (2022031210482469400_B21) 1992; 41 Smushkin (2022031210482469400_B47) 2013; 62 Cobelli (2022031210482469400_B9) 2007; 293 Dalla Man (2022031210482469400_B12) 2005; 54 Bock (2022031210482469400_B40) 2006; 55 De Nicolao (2022031210482469400_B32) 1997; 33 Dalla Man (2022031210482469400_B33) 2008; 295 Pedersen (2022031210482469400_B22) 2010; 298 Basu (2022031210482469400_B8) 2006; 55 Dalla Man (2022031210482469400_B16) 2005; 289 Sunehag (2022031210482469400_B37) 2009; 17 Bock (2022031210482469400_B46) 2010; 73 Caumo (2022031210482469400_B6) 1999; 276 Campioni (2022031210482469400_B27) 2007; 292 Pedersen (2022031210482469400_B23) 2008; 366 Denti (2022031210482469400_B29) 2012; 303 Chandler-Laney (2022031210482469400_B39) 2010; 18 Hodson (2022031210482469400_B45) 2013; 45 Nair (2022031210482469400_B35) 2006; 355 Toffolo (2022031210482469400_B10) 1995; 44 Basu (2022031210482469400_B24) 2012; 61 Dalla Man (2022031210482469400_B30) 2010; 298 Bock (2022031210482469400_B17) 2007; 56 Pisprasert (2022031210482469400_B3) 2013; 36 Dalla Man (2022031210482469400_B1) 2009; 32 Saad (2022031210482469400_B43) 2012; 61 Steil (2022031210482469400_B26) 2004; 53 Petersen (2022031210482469400_B36) 2006; 103 Bergman (2022031210482469400_B28) 1981; 68 Reaven (2022031210482469400_B4) 2013 Campioni (2022031210482469400_B31) 2009; 297 Pillonetto (2022031210482469400_B19) 2010; 298 20300083 - Obesity (Silver Spring). 2010 Nov;18(11):2086-92 23223406 - Diabetes Care. 2013 Apr;36(4):845-53 12002173 - IEEE Trans Biomed Eng. 2002 May;49(5):419-29 18931099 - Diabetes Care. 2009 Jan;32(1):14-8 15111487 - Diabetes. 2004 May;53(5):1201-7 17050889 - N Engl J Med. 2006 Oct 19;355(16):1647-59 23443923 - Am J Physiol Endocrinol Metab. 2013 Apr 15;304(8):E819-25 16868229 - Am J Physiol Endocrinol Metab. 2007 Jan;292(1):E54-60 20039889 - Clin Endocrinol (Oxf). 2010 Aug;73(2):189-96 21707690 - Clin Endocrinol (Oxf). 2012 Feb;76(2):212-9 17130502 - Diabetes. 2006 Dec;55(12):3536-49 11147781 - Diabetes. 2001 Jan;50(1):150-8 20179243 - Am J Physiol Endocrinol Metab. 2010 Jun;298(6):E1115-21 19196896 - Diabetes Care. 2009 May;32(5):866-72 15138152 - Am J Physiol Endocrinol Metab. 2004 Oct;287(4):E637-43 443421 - Am J Physiol. 1979 Jun;236(6):E667-77 17384334 - Diabetes. 2007 Jun;56(6):1703-11 12388151 - Am J Physiol Endocrinol Metab. 2002 Dec;283(6):E1159-66 19106382 - Diabetes Care. 2009 Mar;32(3):456-61 22751690 - Diabetes. 2012 Nov;61(11):2691-700 10362630 - Am J Physiol. 1999 Jun;276(6 Pt 1):E1171-93 16804069 - Diabetes. 2006 Jul;55(7):2001-14 23722624 - Diabetologia. 2013 Aug;56(8):1867-8 19920215 - Am J Physiol Endocrinol Metab. 2010 Mar;298(3):E440-8 17114290 - Proc Natl Acad Sci U S A. 2006 Nov 28;103(48):18273-7 10484360 - Am J Physiol. 1999 Sep;277(3 Pt 1):E481-8 18765681 - Am J Physiol Endocrinol Metab. 2008 Nov;295(5):E1152-9 22669244 - Am J Physiol Endocrinol Metab. 2012 Sep 1;303(5):E576-86 15972269 - Am J Physiol Endocrinol Metab. 2005 Nov;289(5):E909-14 16144811 - Am J Physiol Endocrinol Metab. 2006 Jan;290(1):E169-E176 17341552 - Am J Physiol Endocrinol Metab. 2007 Jul;293(1):E1-E15 16532763 - IEEE Trans Biomed Eng. 2006 Mar;53(3):369-79 22275083 - Diabetes. 2012 Feb;61(2):270-1 19671837 - Am J Physiol Endocrinol Metab. 2009 Oct;297(4):E941-8 16249454 - Diabetes. 2005 Nov;54(11):3265-73 23447123 - Diabetes. 2013 Jul;62(7):2223-9 23250357 - Diabetes. 2013 Apr;62(4):1094-101 24651802 - Diabetes. 2014 Apr;63(4):1188-90 17395750 - Diabetes. 2007 Apr;56(4):1113-9 19057529 - Obesity (Silver Spring). 2009 Feb;17(2):233-9 23549674 - Horm Metab Res. 2013 Aug;45(8):567-71 1551497 - Diabetes. 1992 Mar;41(3):368-77 20009025 - Am J Physiol Endocrinol Metab. 2010 Mar;298(3):E597-601 7789653 - Diabetes. 1995 Jul;44(7):845-54 18653438 - Philos Trans A Math Phys Eng Sci. 2008 Oct 13;366(1880):3525-43 7033284 - J Clin Invest. 1981 Dec;68(6):1456-67 16014353 - Am J Physiol Endocrinol Metab. 2005 Dec;289(6):E954-9 |
References_xml | – volume: 56 start-page: 1113 year: 2007 ident: 2022031210482469400_B17 article-title: Effects of nonglucose nutrients on insulin secretion and action in people with pre-diabetes publication-title: Diabetes doi: 10.2337/db06-1272 – volume: 298 start-page: E1115 year: 2010 ident: 2022031210482469400_B30 article-title: A model of GLP-1 action on insulin secretion in nondiabetic subjects publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00705.2009 – volume: 295 start-page: E1152 year: 2008 ident: 2022031210482469400_B33 article-title: Use of labeled oral minimal model to measure hepatic insulin sensitivity publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00486.2007 – volume: 277 start-page: E481 year: 1999 ident: 2022031210482469400_B13 article-title: Minimal model SG overestimation and SI underestimation: improved accuracy by a Bayesian two-compartment model publication-title: Am J Physiol – volume: 287 start-page: E637 year: 2004 ident: 2022031210482469400_B15 article-title: Minimal model estimation of glucose absorption and insulin sensitivity from oral test: validation with a tracer method publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00319.2003 – volume: 62 start-page: 1094 year: 2013 ident: 2022031210482469400_B47 article-title: The effect of a bile acid sequestrant on glucose metabolism in subjects with type 2 diabetes publication-title: Diabetes doi: 10.2337/db12-0923 – volume: 55 start-page: 2001 year: 2006 ident: 2022031210482469400_B8 article-title: Effects of age and sex on postprandial glucose metabolism: differences in glucose turnover, insulin secretion, insulin action, and hepatic insulin extraction publication-title: Diabetes doi: 10.2337/db05-1692 – volume: 292 start-page: E54 year: 2007 ident: 2022031210482469400_B27 article-title: Incretin effect potentiates beta-cell responsivity to glucose as well as to its rate of change: OGTT and matched intravenous study publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00033.2006 – volume: 303 start-page: E576 year: 2012 ident: 2022031210482469400_B29 article-title: The disposition index: from individual to population approach publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00139.2011 – start-page: E819 volume-title: Am J Physiol Endocrinol Metab year: 2013 ident: 2022031210482469400_B34 article-title: Modeling hepatic insulin sensitivity during a meal: validation against the euglycemic-hyperinsulinemic clamp – volume: 366 start-page: 3525 year: 2008 ident: 2022031210482469400_B23 article-title: A subcellular model of glucose-stimulated pancreatic insulin secretion publication-title: Philos Trans A Math Phys Eng Sci – volume: 53 start-page: 1201 year: 2004 ident: 2022031210482469400_B26 article-title: Evaluation of insulin sensitivity and beta-cell function indexes obtained from minimal model analysis of a meal tolerance test publication-title: Diabetes doi: 10.2337/diabetes.53.5.1201 – volume: 289 start-page: E909 year: 2005 ident: 2022031210482469400_B7 article-title: Measurement of selective effect of insulin on glucose disposal from labeled glucose oral test minimal model publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00299.2004 – volume: 18 start-page: 2086 year: 2010 ident: 2022031210482469400_B39 article-title: Adiposity and β-cell function: relationships differ with ethnicity and age publication-title: Obesity (Silver Spring) doi: 10.1038/oby.2010.44 – volume: 68 start-page: 1456 year: 1981 ident: 2022031210482469400_B28 article-title: Physiologic evaluation of factors controlling glucose tolerance in man: measurement of insulin sensitivity and beta-cell glucose sensitivity from the response to intravenous glucose publication-title: J Clin Invest doi: 10.1172/JCI110398 – volume: 61 start-page: 2691 year: 2012 ident: 2022031210482469400_B43 article-title: Diurnal pattern to insulin secretion and insulin action in healthy individuals publication-title: Diabetes doi: 10.2337/db11-1478 – volume: 62 start-page: 2223 year: 2013 ident: 2022031210482469400_B44 article-title: Diurnal pattern of insulin action in type 1 diabetes: implications for a closed-loop system publication-title: Diabetes doi: 10.2337/db12-1759 – volume: 45 start-page: 567 year: 2013 ident: 2022031210482469400_B45 article-title: Mechanism of insulin resistance in normal pregnancy publication-title: Horm Metab Res doi: 10.1055/s-0033-1337988 – volume: 276 start-page: E1171 year: 1999 ident: 2022031210482469400_B6 article-title: Undermodeling affects minimal model indexes: insights from a two-compartment model publication-title: Am J Physiol – volume: 49 start-page: 419 year: 2002 ident: 2022031210482469400_B14 article-title: The oral glucose minimal model: estimation of insulin sensitivity from a meal test publication-title: IEEE Trans Biomed Eng doi: 10.1109/10.995680 – volume: 17 start-page: 233 year: 2009 ident: 2022031210482469400_B37 article-title: beta-Cell function and insulin sensitivity in adolescents from an OGTT publication-title: Obesity (Silver Spring) doi: 10.1038/oby.2008.496 – volume: 56 start-page: 1703 year: 2007 ident: 2022031210482469400_B41 article-title: Contribution of hepatic and extrahepatic insulin resistance to the pathogenesis of impaired fasting glucose: role of increased rates of gluconeogenesis publication-title: Diabetes doi: 10.2337/db06-1776 – volume: 290 start-page: E169 year: 2006 ident: 2022031210482469400_B11 article-title: A minimal model of insulin secretion and kinetics to assess hepatic insulin extraction publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00473.2004 – volume: 73 start-page: 189 year: 2010 ident: 2022031210482469400_B46 article-title: The effect of DPP-4 inhibition with sitagliptin on incretin secretion and on fasting and postprandial glucose turnover in subjects with impaired fasting glucose publication-title: Clin Endocrinol (Oxf) doi: 10.1111/j.1365-2265.2009.03764.x – volume: 61 start-page: 270 year: 2012 ident: 2022031210482469400_B24 article-title: Prediabetes: evaluation of β-cell function publication-title: Diabetes doi: 10.2337/db11-1677 – volume: 293 start-page: E1 year: 2007 ident: 2022031210482469400_B9 article-title: Assessment of beta-cell function in humans, simultaneously with insulin sensitivity and hepatic extraction, from intravenous and oral glucose tests publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00421.2006 – start-page: 369 volume-title: IEEE Trans Biomed Eng year: 2006 ident: 2022031210482469400_B18 article-title: A new dynamic index of insulin sensitivity – volume: 283 start-page: E1159 year: 2002 ident: 2022031210482469400_B25 article-title: Meal and oral glucose tests for assessment of beta -cell function: modeling analysis in normal subjects publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00093.2002 – volume: 32 start-page: 866 year: 2009 ident: 2022031210482469400_B42 article-title: Effects of type 2 diabetes on insulin secretion, insulin action, glucose effectiveness, and postprandial glucose metabolism publication-title: Diabetes Care doi: 10.2337/dc08-1826 – volume: 298 start-page: E440 year: 2010 ident: 2022031210482469400_B19 article-title: Dynamic insulin sensitivity index: importance in diabetes publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.90340.2008 – volume: 50 start-page: 150 year: 2001 ident: 2022031210482469400_B20 article-title: Oral glucose tolerance test minimal model indexes of beta-cell function and insulin sensitivity publication-title: Diabetes doi: 10.2337/diabetes.50.1.150 – volume: 41 start-page: 368 year: 1992 ident: 2022031210482469400_B21 article-title: Estimation of insulin secretion rates from C-peptide levels. Comparison of individual and standard kinetic parameters for C-peptide clearance publication-title: Diabetes doi: 10.2337/diabetes.41.3.368 – volume: 298 start-page: E597 year: 2010 ident: 2022031210482469400_B22 article-title: Cellular modeling: insight into oral minimal models of insulin secretion publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00670.2009 – volume: 32 start-page: 456 year: 2009 ident: 2022031210482469400_B38 article-title: Primary defects in beta-cell function further exacerbated by worsening of insulin resistance mark the development of impaired glucose tolerance in obese adolescents publication-title: Diabetes Care doi: 10.2337/dc08-1274 – volume: 36 start-page: 845 year: 2013 ident: 2022031210482469400_B3 article-title: Limitations in the use of indices using glucose and insulin levels to predict insulin sensitivity: impact of race and gender and superiority of the indices derived from oral glucose tolerance test in African Americans publication-title: Diabetes Care doi: 10.2337/dc12-0840 – volume: 32 start-page: 14 year: 2009 ident: 2022031210482469400_B1 article-title: Dipeptidyl peptidase-4 inhibition by vildagliptin and the effect on insulin secretion and action in response to meal ingestion in type 2 diabetes publication-title: Diabetes Care doi: 10.2337/dc08-1512 – volume: 76 start-page: 212 year: 2012 ident: 2022031210482469400_B2 article-title: A concerted decline in insulin secretion and action occurs across the spectrum of fasting and postchallenge glucose concentrations publication-title: Clin Endocrinol (Oxf) doi: 10.1111/j.1365-2265.2011.04159.x – volume: 54 start-page: 3265 year: 2005 ident: 2022031210482469400_B12 article-title: Two-hour seven-sample oral glucose tolerance test and meal protocol: minimal model assessment of beta-cell responsivity and insulin sensitivity in nondiabetic individuals publication-title: Diabetes doi: 10.2337/diabetes.54.11.3265 – volume: 55 start-page: 3536 year: 2006 ident: 2022031210482469400_B40 article-title: Pathogenesis of pre-diabetes: mechanisms of fasting and postprandial hyperglycemia in people with impaired fasting glucose and/or impaired glucose tolerance publication-title: Diabetes doi: 10.2337/db06-0319 – volume: 297 start-page: E941 year: 2009 ident: 2022031210482469400_B31 article-title: Minimal model assessment of hepatic insulin extraction during an oral test from standard insulin kinetic parameters publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.90842.2008 – volume: 289 start-page: E954 year: 2005 ident: 2022031210482469400_B16 article-title: Insulin sensitivity by oral glucose minimal models: validation against clamp publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00076.2005 – volume: 33 start-page: 851 year: 1997 ident: 2022031210482469400_B32 article-title: Nonparametric input estimation in physiological systems: problems, methods, case studies publication-title: Automatica doi: 10.1016/S0005-1098(96)00254-3 – volume: 103 start-page: 18273 year: 2006 ident: 2022031210482469400_B36 article-title: Increased prevalence of insulin resistance and nonalcoholic fatty liver disease in Asian-Indian men publication-title: Proc Natl Acad Sci USA doi: 10.1073/pnas.0608537103 – volume: 236 start-page: E667 year: 1979 ident: 2022031210482469400_B5 article-title: Quantitative estimation of insulin sensitivity publication-title: Am J Physiol – volume: 355 start-page: 1647 year: 2006 ident: 2022031210482469400_B35 article-title: DHEA in elderly women and DHEA or testosterone in elderly men publication-title: N Engl J Med doi: 10.1056/NEJMoa054629 – start-page: 1867 volume-title: Diabetologia year: 2013 ident: 2022031210482469400_B4 article-title: What do we learn from measurements of HOMA-IR? – volume: 44 start-page: 845 year: 1995 ident: 2022031210482469400_B10 article-title: Estimation of beta-cell sensitivity from intravenous glucose tolerance test C-peptide data. Knowledge of the kinetics avoids errors in modeling the secretion publication-title: Diabetes doi: 10.2337/diab.44.7.845 – reference: 17341552 - Am J Physiol Endocrinol Metab. 2007 Jul;293(1):E1-E15 – reference: 10362630 - Am J Physiol. 1999 Jun;276(6 Pt 1):E1171-93 – reference: 1551497 - Diabetes. 1992 Mar;41(3):368-77 – reference: 23722624 - Diabetologia. 2013 Aug;56(8):1867-8 – reference: 22275083 - Diabetes. 2012 Feb;61(2):270-1 – reference: 23250357 - Diabetes. 2013 Apr;62(4):1094-101 – reference: 15138152 - Am J Physiol Endocrinol Metab. 2004 Oct;287(4):E637-43 – reference: 23223406 - Diabetes Care. 2013 Apr;36(4):845-53 – reference: 21707690 - Clin Endocrinol (Oxf). 2012 Feb;76(2):212-9 – reference: 17050889 - N Engl J Med. 2006 Oct 19;355(16):1647-59 – reference: 19106382 - Diabetes Care. 2009 Mar;32(3):456-61 – reference: 15111487 - Diabetes. 2004 May;53(5):1201-7 – reference: 20039889 - Clin Endocrinol (Oxf). 2010 Aug;73(2):189-96 – reference: 23447123 - Diabetes. 2013 Jul;62(7):2223-9 – reference: 17384334 - Diabetes. 2007 Jun;56(6):1703-11 – reference: 18765681 - Am J Physiol Endocrinol Metab. 2008 Nov;295(5):E1152-9 – reference: 16868229 - Am J Physiol Endocrinol Metab. 2007 Jan;292(1):E54-60 – reference: 7789653 - Diabetes. 1995 Jul;44(7):845-54 – reference: 19057529 - Obesity (Silver Spring). 2009 Feb;17(2):233-9 – reference: 20179243 - Am J Physiol Endocrinol Metab. 2010 Jun;298(6):E1115-21 – reference: 16144811 - Am J Physiol Endocrinol Metab. 2006 Jan;290(1):E169-E176 – reference: 19196896 - Diabetes Care. 2009 May;32(5):866-72 – reference: 12388151 - Am J Physiol Endocrinol Metab. 2002 Dec;283(6):E1159-66 – reference: 11147781 - Diabetes. 2001 Jan;50(1):150-8 – reference: 10484360 - Am J Physiol. 1999 Sep;277(3 Pt 1):E481-8 – reference: 16532763 - IEEE Trans Biomed Eng. 2006 Mar;53(3):369-79 – reference: 17395750 - Diabetes. 2007 Apr;56(4):1113-9 – reference: 17130502 - Diabetes. 2006 Dec;55(12):3536-49 – reference: 20009025 - Am J Physiol Endocrinol Metab. 2010 Mar;298(3):E597-601 – reference: 19671837 - Am J Physiol Endocrinol Metab. 2009 Oct;297(4):E941-8 – reference: 17114290 - Proc Natl Acad Sci U S A. 2006 Nov 28;103(48):18273-7 – reference: 7033284 - J Clin Invest. 1981 Dec;68(6):1456-67 – reference: 20300083 - Obesity (Silver Spring). 2010 Nov;18(11):2086-92 – reference: 443421 - Am J Physiol. 1979 Jun;236(6):E667-77 – reference: 16249454 - Diabetes. 2005 Nov;54(11):3265-73 – reference: 16804069 - Diabetes. 2006 Jul;55(7):2001-14 – reference: 24651802 - Diabetes. 2014 Apr;63(4):1188-90 – reference: 23443923 - Am J Physiol Endocrinol Metab. 2013 Apr 15;304(8):E819-25 – reference: 16014353 - Am J Physiol Endocrinol Metab. 2005 Dec;289(6):E954-9 – reference: 12002173 - IEEE Trans Biomed Eng. 2002 May;49(5):419-29 – reference: 19920215 - Am J Physiol Endocrinol Metab. 2010 Mar;298(3):E440-8 – reference: 18931099 - Diabetes Care. 2009 Jan;32(1):14-8 – reference: 23549674 - Horm Metab Res. 2013 Aug;45(8):567-71 – reference: 18653438 - Philos Trans A Math Phys Eng Sci. 2008 Oct 13;366(1880):3525-43 – reference: 15972269 - Am J Physiol Endocrinol Metab. 2005 Nov;289(5):E909-14 – reference: 22669244 - Am J Physiol Endocrinol Metab. 2012 Sep 1;303(5):E576-86 – reference: 22751690 - Diabetes. 2012 Nov;61(11):2691-700 |
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Snippet | The simultaneous assessment of insulin action, secretion, and hepatic extraction is key to understanding postprandial glucose metabolism in nondiabetic and... |
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SubjectTerms | Adolescent Biological and medical sciences Blood Glucose - metabolism C-Peptide - metabolism Child Diabetes Diabetes. Impaired glucose tolerance Endocrine pancreas. Apud cells (diseases) Endocrinopathies Etiopathogenesis. Screening. Investigations. Target tissue resistance Food Glucose Glucose - metabolism Glucose Clamp Technique Glucose Tolerance Test Human subjects Humans Insulin Insulin - metabolism Insulin - physiology Insulin Resistance - physiology Insulin-Secreting Cells - drug effects Insulin-Secreting Cells - physiology Liver - metabolism Mathematical models Medical sciences Metabolism Methodology Review Models, Biological Pancreatic beta cells Physiology Postprandial Period - physiology Testing |
Title | The Oral Minimal Model Method |
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