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Two-Hour Seven-Sample Oral Glucose Tolerance Test and Meal Protocol
Open accessAbstract
Highly informative yet simple protocols to assess insulin secretion and action would considerably enhance the quality of epidemiological and large-scale clinical trials. In an effort to develop such protocols, a 5-h, 11-sample oral glucose tolerance test (OGTT) was performed in 100 individuals and a 7-h, 21-sample meal in another 100. Plasma glucose, insulin, and C-peptide concentrations were measured. We show that virtually the same minimal model assessment of β-cell responsivity (dynamic [Φd] and static [Φs]), insulin sensitivity (Si), and disposition index (DI) can be obtained with a reduced seven-sample 2-h protocol: Φd, reduced versus full: 871.50 vs. 873.32, r = 0.98 in OGTT and 494.88 vs. 477.99 10−9, r = 0.91 in meal; Φs: 42.36 vs. 44.35, r = 0.88 in OGTT and 35.31 vs. 35.37 10−9 min−1, r = 0.90 in meal; Si: 24.33 vs. 22.77 10−5 dl · kg−1 · min−1 per pmol/l, r = 0.89 in OGTT and 19.03 vs. 19.77 10−5 dl · kg−1 · min−1 per pmol/l, r = 0.85 in meal; and DI: 1,282.26 vs. 1,273.23, r = 0.84 in OGTT and 726.92 vs. 776.97 10−14 dl · kg−1 · min−2 per pmol/l, r = 0.84 in meal. This reduced protocol will facilitate the study of insulin secretion and action under physiological conditions in nondiabetic humans.
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“The ISI measures the overall effects of insulin to stimulate glucose disposal and inhibit glucose production.”
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Citations
Cites
Quantitative estimation of insulin sensitivity.
Bergman, R. N., Ider, Y. Z., Bowden, C. R., & Cobelli, C. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.236.6.e667 · Cited by 1,874
Self-citationBergman, R. N., Phillips, L. S., & Cobelli, C. (1981) · Journal of Clinical Investigation · doi:10.1172/jci110398 · Cited by 1,640
Self-citationKahn, S. E., Prigeon, R. L., McCulloch, D. K., Boyko, E. J., Bergman, R. N., Schwartz, M. W., Neifing, J. L., Ward, W. K., Beard, J. C., & Palmer, J. P. (1993) · Diabetes · doi:10.2337/diab.42.11.1663 · Cited by 1,405
Mechanisms of the Age-Associated Deterioration in Glucose Tolerance
Basu, R., Breda, E., Oberg, A. L., Powell, C. C., Dalla Man, C., Basu, A., Vittone, J. L., Klee, G. G., Arora, P., Jensen, M. D., et al. (2003) · Diabetes · doi:10.2337/diabetes.52.7.1738 · Cited by 440
Self-citationKahn, S. E., Prigeon, R. L., McCulloch, D. K., Boyko, E. J., Bergman, R. N., Schwartz, M. W., Neifing, J. L., Ward, W. K., Beard, J. C., Palmer, J. P., et al. (1993) · Diabetes · doi:10.2337/diabetes.42.11.1663 · Cited by 328
Oral Glucose Tolerance Test Minimal Model Indexes of β-Cell Function and Insulin Sensitivity
Breda, E., Cavaghan, M. K., Toffolo, G., Polonsky, K. S., & Cobelli, C. (2001) · Diabetes · doi:10.2337/diabetes.50.1.150 · Cited by 320
Self-citationThe oral glucose minimal model: Estimation of insulin sensitivity from a meal test
Della Man, C., Caumo, A., & Cobelli, C. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.995680 · Cited by 241
Self-citationDalla Man, C., Caumo, A., Basu, R., Rizza, R., Toffolo, G., & Cobelli, C. (2004) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00319.2003 · Cited by 198
Self-citationToffolo, G., Breda, E., Cavaghan, M. K., Ehrmann, D. A., Polonsky, K. S., & Cobelli, C. (2001) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.2001.280.1.e2 · Cited by 112
Self-citationSplanchnic Cortisol Production Occurs in Humans
Basu, R., Singh, R., Basu, A., Chittilapilly, E. G., Johnson, C. M., TOFFOLO, G. M., Cobelli, C., & Rizza, R. A. (2004) · Diabetes · doi:10.2337/diabetes.53.8.2051 · Cited by 111
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Muniyappa, R., Lee, S., Chen, H., & Quon, M. J. (2008) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00645.2007 · Cited by 1,643
The role of skeletal muscle insulin resistance in the pathogenesis of the metabolic syndrome
Petersen, K. F., Dufour, S., Savage, D. B., Bilz, S., Solomon, G., Yonemitsu, S., Cline, G. W., Befroy, D., Zemany, L., Kahn, B. B., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705408104 · Cited by 759
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Singh, B. (2010) · World Journal of Diabetes · doi:10.4239/wjd.v1.i2.36 · Cited by 622
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Cobelli, C., Dalla Man, C., Sparacino, G., Magni, L., De Nicolao, G., & Kovatchev, B. P. (2009) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2009.2036073 · Cited by 511
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Petersen, K. F., Dufour, S., Feng, J., Befroy, D., Dziura, J., Man, C. D., Cobelli, C., & Shulman, G. I. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0608537103 · Cited by 403
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Retnakaran, R. R., Shen, S., Hanley, A. J., Vuksan, V. V. V., Hamilton, J. K., & Zinman, B. (2008) · Obesity · doi:10.1038/oby.2008.307 · Cited by 367
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Cobelli, C., Toffolo, G., Man, C. D., Campioni, M., Denti, P., Caumo, A., Butler, P., & Rizza, R. (2007) · American Journal of Physiology. Endocrinology and Metabolism · doi:10.1152/ajpendo.00421.2006 · Cited by 320
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Park, S. Y., Gautier, J., & Chon, S. (2021) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2021.0220 · Cited by 324
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Crandall, J. P., Oram, V., Trandafirescu, G., Reid, M., Kishore, P., Hawkins, M., Cohen, H. W., & Barzilai, N. (2012) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glr235 · Cited by 281
New markers of insulin resistance in polycystic ovary syndrome
Polak, K., Czyzyk, A., Simoncini, T., & Męczekalski, B. (2016) · Journal of Endocrinological Investigation · doi:10.1007/s40618-016-0523-8 · Cited by 261
Hebert, M., Ma, X., Naraharisetti, S., Krudys, K., Umans, J., Hankins, G., Caritis, S., Miodovnik, M., Mattison, D., Unadkat, J., et al. (2009) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2009.5 · Cited by 252
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Kahrilas, P. J., & Boeckxstaens, G. E. (2013) · Gastroenterology · doi:10.1053/j.gastro.2013.08.038 · Cited by 236
Cobelli, C., Dalla Man, C., Toffolo, G., Basu, R., Vella, A., & Rizza, R. (2014) · Diabetes · doi:10.2337/db13-1198 · Cited by 216
Self-citationHiggins, K., & Mattes, R. D. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy381 · Cited by 172
Effects of Bariatric Surgery on Glucose Homeostasis and Type 2 Diabetes
Bradley, D. P., Magkos, F., & Klein, S. (2012) · Gastroenterology · doi:10.1053/j.gastro.2012.07.114 · Cited by 154
Cali, A. M. G., Man, C. D., Cobelli, C., Dziura, J., Seyal, A., Shaw, M., Allen, K., Chen, S., & Caprio, S. (2009) · Diabetes Care · doi:10.2337/dc08-1274 · Cited by 125
Self-citationKillick, R., Hoyos, C. M., Melehan, K. L., Dungan, G. C., Poh, J., & Liu, P. Y. (2015) · Clinical Endocrinology · doi:10.1111/cen.12747 · Cited by 108
Casu, A., Bottino, R., Balamurugan, A. N., Hara, H., van der Windt, D. J., Campanile, N., Smetanka, C., Cooper, D. K. C., & Trucco, M. (2007) · Diabetologia · doi:10.1007/s00125-007-0844-4 · Cited by 95
Complex physiology and clinical implications of time-restricted eating
Petersen, M. C., Gallop, M. R., Ramos, S. F., Zarrinpar, A., Broussard, J. L., Chondronikola, M., Chaix, A., & Klein, S. (2022) · Physiological Reviews · doi:10.1152/physrev.00006.2022 · Cited by 94
The future of open‐ and closed‐loop insulin delivery systems
Farmer, T. G., Edgar, T., & Peppas, N. (2008) · The Journal of pharmacy and pharmacology · doi:10.1211/jpp.60.1.0001 · Cited by 84
Modeling a simplified regulatory system of blood glucose at molecular levels
Liu, W., & Tang, F. (2008) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2008.02.021 · Cited by 77
Lee, Y., Ha, C., Kim, S.-A., Thoudam, T., Yoon, Y.-R., Kim, D. J., Kim, H. C., Moon, H., Park, S., Lee, I., et al. (2017) · Diabetes · doi:10.2337/db17-0188 · Cited by 74
Chase, J. G., Compte, A. J. L., Preiser, J.-C., Shaw, G. M., Penning, S., & Desaive, T. (2011) · Annals of Intensive Care · doi:10.1186/2110-5820-1-11 · Cited by 77
Measures of insulin sensitivity.
Bloomgarden, Z. (2006) · Clinics in Laboratory Medicine · doi:10.1016/j.cll.2006.06.007 · Cited by 65
Nunez, D. J., Bush, M., Collins, D. A., McMullen, S. L., Gillmor, D., Apseloff, G., Atiee, G. J., Corsino, L., Morrow, L., & Feldman, P. L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092494 · Cited by 65
Klaassen, G., Zelle, D. M., Navis, G. J., Dijkema, D., Bemelman, F. J., Bakker, S. J. L., & Corpeleijn, E. (2017) · BMC Nephrology · doi:10.1186/s12882-017-0709-0 · Cited by 64
Impaired insulin signaling in unaffected siblings and patients with first-episode psychosis
Chouinard, V., Henderson, D. C., Man, C. D., Valeri, L., Gray, B. E., Ryan, K. P., Cypess, A. M., Cobelli, C., Cohen, B. M., & Öngür, D. (2018) · Molecular Psychiatry · doi:10.1038/s41380-018-0045-1 · Cited by 62
Self-citationWeiss, E. P., Albert, S. G., Reeds, D. N., Kress, K. S., Ezekiel, U. R., McDaniel, J. L., Patterson, B. W., Klein, S., & Villareal, D. T. (2015) · Diabetes Care · doi:10.2337/dc14-2913 · Cited by 61
Maki, K. C., McKenney, J. M., Farmer, M. V., Reeves, M. S., & Dicklin, M. R. (2009) · Nutrition Journal · doi:10.1186/1475-2891-8-22 · Cited by 62
Modeling the physiological glucose–insulin system on normal and diabetic subjects
Chen, C., & Tsai, H.-W. (2009) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2009.06.005 · Cited by 53
Dynamic assessment of insulin secretion and insulin resistance in Asians with prediabetes
Magkos, F., Lee, M. H., Lim, M., Cook, A. R., Chhay, V., Loh, T. P., Chia, K. S., Baig, S., Ang, I. Y. H., Tay, J., et al. (2021) · Metabolism · doi:10.1016/j.metabol.2021.154957 · Cited by 49
van Olden, C. C., van de Laar, A. W. J. M., Meijnikman, A. S., Aydin, Ö., van Olst, N., Hoozemans, J., de Brauw, L. M., Bruin, S., Acherman, Y. I. Z., Verheij, J., et al. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13157 · Cited by 48
Sathananthan, A., Man, C. D., Zinsmeister, A. R., Camilleri, M., Rodeheffer, R. J., TOFFOLO, G. M., Cobelli, C., Rizza, R. A., & Vella, A. V. (2011) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2011.04159.x · Cited by 44
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Purnell, J. Q., Johnson, G., Wahed, A. S., Man, C. D., Piccinini, F., Cobelli, C., Prigeon, R. L., Goodpaster, B. H., Kelley, D. E., Staten, M. A., et al. (2018) · Diabetologia · doi:10.1007/s00125-018-4553-y · Cited by 41
Self-citationNarendran, P., Solomon, T. P. J., Kennedy, A., Chimen, M., & Andrews, R. C. (2014) · Diabetologia · doi:10.1007/s00125-014-3412-8 · Cited by 40
Assessment of insulin action on carbohydrate metabolism: physiological and non-physiological methods
Dube, S., Errázuriz, I., Cobelli, C., Basu, R., & Basu, A. (2013) · Diabetic Medicine · doi:10.1111/dme.12189 · Cited by 34
Self-citationValidation of Insulin Sensitivity and Secretion Indices Derived from the Liquid Meal Tolerance Test
Maki, K. C., Kelley, K., Lawless, A. L., Hubacher, R., Schild, A. L., Dicklin, M. R., & Rains, T. M. (2011) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2010.0240 · Cited by 40
Chen, Y.-L., Lin, J.-D., Hsia, T., Mao, F. C., Hsu, C.-H., & Pei, D. (2013) · European Journal of Nutrition · doi:10.1007/s00394-013-0508-8 · Cited by 39
Men Are from Mars, Women Are from Venus: Sex Differences in Insulin Action and Secretion
Basu, A., Dube, S., & Basu, R. (2017) · Advances in Experimental Medicine and Biology · doi:10.1007/978-3-319-70178-3_4 · Cited by 38
Self-citationRegulation of glucose metabolism in nondiabetic, metabolically obese normal-weight Asians
Ding, C., Chan, Z., Chooi, Y. C., Choo, J., Sadananthan, S. A., Chang, A., Sasikala, S., Michael, N., Velan, S. S., & Magkos, F. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00382.2017 · Cited by 39
Chooi, Y. C., Ding, C., Chan, Z., Choo, J., Sadananthan, S. A., Michael, N., Lee, Y., Velan, S. S., & Magkos, F. (2018) · Obesity · doi:10.1002/oby.22185 · Cited by 38
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Giannini, C., Man, C. D., Groop, L., Cobelli, C., Zhao, H., Shaw, M. M., Duran, E. J., Pierpont, B. M., Bale, A. E., Caprio, S., et al. (2013) · Diabetes Care · doi:10.2337/dc13-1458 · Cited by 36
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Self-citationUtzschneider, K. M., Largajolli, A., Bertoldo, A., Marcovina, S., Nelson, J. E., Yeh, M. M., Kowdley, K. V., & Kahn, S. E. (2013) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2013.11.007 · Cited by 33
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Vellanki, P., Smiley, D. D., Stefanovski, D., Anzola, I., Duan, W., Hudson, M., Peng, L., Pasquel, F. J., & Umpierrez, G. E. (2016) · Diabetes Care · doi:10.2337/dc16-0406 · Cited by 28
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Liu, P. Y., Lawrence-Sidebottom, D., Piotrowska, K., Zhang, W., Iranmanesh, A., Auchus, R. J., Veldhuis, J. D., & Van Dongen, H. P. A. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab375 · Cited by 28
Boston, R., & Moate, P. J. (2008) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.90317.2008 · Cited by 28
Dingli, D., Wolf, R. C., & Vella, A. V. (2007) · Endocrine Practice · doi:10.4158/ep.13.2.126 · Cited by 27
Chen, M. E., Chandramouli, A. G., Considine, R. V., Hannon, T. S., & Mather, K. J. (2018) · Diabetes Care · doi:10.2337/dc17-1373 · Cited by 26
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VISENTIN, R., Man, C. D., Basu, R., Basu, A., Rizza, R. A., & Cobelli, C. (2015) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00358.2014 · Cited by 23
Self-citationWarmbrunn, M. V., Attaye, I., Aron‐Wisnewsky, J., Rampanelli, E., van der Vossen, E. W. J., Hao, Y., Koopen, A. M., Bergh, P., Stols‐Gonçalves, D., Mohamed, N., et al. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2370616 · Cited by 22
Kohlenberg, J. D., LAURENTI, M. C., Egan, A. M., Wismayer, D. S., Bailey, K. R., Cobelli, C., Man, C. D., & Vella, A. V. (2022) · Diabetologia · doi:10.1007/s00125-022-05794-3 · Cited by 23
Self-citationCobelli, C., & Man, C. D. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211015268 · Cited by 22
Self-citationAngelini, G., Salinari, S., BERTUZZI, A., Iaconelli, A., & Mingrone, G. (2018) · Communications Biology · doi:10.1038/s42003-018-0069-8 · Cited by 21
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Self-citationVarshney, S., Khadgawat, R., Gahlot, M., Khandelwal, D., Obroi, A. K., Rk, Y., Sreenivas, V. K., Gupta, N., & Tandon, N. (2019) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/ijem.ijem_159_19 · Cited by 19
Attaye, I., Lassen, P. B., Adriouch, S., Steinbach, E., Patiño‐Navarrete, R., Davids, M., Alili, R., Jacques, F., Benzeguir, S., Belda, E., et al. (2023) · iScience · doi:10.1016/j.isci.2023.107471 · Cited by 21
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Shuster, D. L., Shireman, L. M., Ma, X., Shen, D. D., Flood-Nichols, S. K., Ahmed, M. S., Clark, S. M., Caritis, S. N., Venkataramanan, R., Haas, D. M., et al. (2019) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.1749 · Cited by 18
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Self-citationGalderisi, A., Evans‐Molina, C., Martino, M., Caprio, S., Cobelli, C., & Moran, A. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac740 · Cited by 13
Self-citationMarchetti, L., Reali, F., Dauriz, M., Brangani, C., Boselli, L., Ceradini, G., Bonora, E., Bonadonna, R. C., & Priami, C. (2016) · Scientific Reports · doi:10.1038/srep36029 · Cited by 12
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Hoyos, C. M., Cayanan, E. A., Yee, B. J., Postnova, S., Marshall, N. S., Markovic, T., Twigg, S. M., Grunstein, R. R., & Phillips, C. L. (2024) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2024.06.003 · Cited by 10
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Metadata
- Authors
- Dalla Man, C., Campioni, M., Polonsky, K. S., Basu, R., Rizza, R. A., Toffolo, G., & Cobelli, C.
- Affiliations
- Department of Information Engineering, University of Padova, Padova, Italy
- University of Padua (IT)
- Washington University in St. Louis (US)
- Mayo Clinic (US)
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2005-11-01
- Volume
- 54
- Issue
- 11
- Pages
- 3265-3273
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2141363931
- Cited by
- 179
- References
- 12
- Citations by year
- 2026: 8 · 2025: 6 · 2024: 9 · 2023: 6 · 2022: 8 · 2021: 14 · 2020: 10 · 2019: 8 · 2018: 16 · 2017: 8 · 2016: 9 · 2015: 6 · 2014: 8 · 2013: 9 · 2012: 8
- FWCI
- 6.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (DK29953-23)
- National Institute of Biomedical Imaging and Bioengineering (EB 01975, P41EB001975)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- oral glucose tolerance test, insulin secretion, insulin sensitivity, insulin sensitivity index, disposition index, minimal model analysis, C-peptide, plasma glucose
- MeSH terms
- Insulin Secretion, Adult, Aged, 80 and over, Blood Glucose, C-Peptide, Diet, Glucose Tolerance Test, Humans, Insulin, Insulin Resistance, Middle Aged, Models, Biological, Time Factors, Insulin-Secreting Cells
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