The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Minimal model estimation of glucose absorption and insulin sensitivity from oral test: validation with a tracer method
Open accessAbstract
Measuring insulin sensitivity during the physiological milieu of oral glucose perturbation, e.g., a meal or an oral glucose tolerance test, would be extremely valuable but difficult since the rate of appearance of absorbed glucose is unknown. The reference method is a tracer two-step one: first, the rate of appearance of glucose (R a mealref) is reconstructed by employing the tracer-to-tracee ratio clamp technique with two tracers and a model of non-steady-state glucose kinetics; next, this R a mealref is used as the known input of a model describing insulin action on glucose kinetics to estimate insulin sensitivity (S Iref). Recently, a nontracer method based on the oral minimal model (OMM) has been proposed to estimate simultaneously the above quantities, denoted R a meal and S I, respectively, from plasma glucose and insulin concentrations measured after an oral glucose perturbation. This last method has obvious advantages over the tracer method, but its domain of validity has never been assessed against a reference method. It is thus important to establish whether or not the “nontracer” R a meal and S I compare well with the “tracer” R a mealref and S Iref . We do this comparison on a database of 88 subjects, and it is very satisfactory: R a meal profiles agree well with the R a mealref and correlation of S Iref with S I is r = 0.86 ( P < 0.0001). We conclude that OMM candidates as a reliable tool to measure both the rate of glucose absorption and insulin sensitivity from oral glucose tests without employing tracers.
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“Furthermore, use of the meal minimal model in conjunction with the triple tracer method permits robust model assessments of indices of insulin action on the periphery (SI) and on the liver (SIL), glucose effectiveness (SG), insulin secretion, and β-cell function (disposition index).[49][50][51][52][53][54][55][56][57][58][59][60][61]”
From Developing the UVA/Padova Type 1 Diabetes Simulator: Modeling, Validation, Refinements, and Utility (2023) · cites this paper as [56]
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Citations
Cites
Glucose clamp technique: a method for quantifying insulin secretion and resistance.
DeFronzo, R. A., Tobin, J. D., & Andres, R. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.237.3.e214 · Cited by 7,425
Matsuda, M., & DeFronzo, R. A. (1999) · Diabetes Care · doi:10.2337/diacare.22.9.1462 · Cited by 5,621
Katz, A., Nambi, S. S., Mather, K., Baron, A. D., Follmann, D. A., Sullivan, G., & Quon, M. J. (2000) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.85.7.6661 · Cited by 3,931 · cited 1×
“Finally, it is also of interest to compare OMM and reference SI with other indexes, such as the Homeostasis Model Assessment (HOMA) (15), the Quantitative Insulin Sensitivity Check Index (QUICKI) (11), and the insulin sensitivity index (ISI) of Matsuda-De Fronzo (12), frequently used to measure insulin sensitivity dur…”
MethodQuantitative 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 · cited 3×
“This index, useful not only for diagnosis but also for assessing the efficacy of a given therapy, is usually measured using methods involving an intravenous administration of glucose and/or insulin, such as the glucose clamp technique (10) or the intravenous glucose tolerance test (IVGTT) interpreted with the minimal…”
MethodSelf-citationSAAM II: Simulation, Analysis, and Modeling Software for tracer and pharmacokinetic studies.
Barrett, P., Bell, B., Cobelli, C., Golde, H., Schumitzky, A., Vicini, P., & Foster, D. M. (1998) · Metabolism: Clinical and Experimental · doi:10.1016/s0026-0495(98)90064-6 · Cited by 458
Self-citationMechanisms 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-citationTurner, R. C., Holman, R. R., Matthews, D., Hockaday, T. D. R., & Peto, J. (1979) · Metabolism · doi:10.1016/0026-0495(79)90146-x · Cited by 388
The 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-citationTracer Kinetics in Biomedical Research
Cobelli, C., Foster, D., & TOFFOLO, G. M. (2002) · Springer eBooks · doi:10.1007/b112199 · Cited by 201
Self-citationUse of a novel triple-tracer approach to assess postprandial glucose metabolism
Basu, R., Di Camillo, B., Toffolo, G., Basu, A., Shah, P., Vella, A., Rizza, R., & Cobelli, C. (2003) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00190.2001 · Cited by 189
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Diabetes: Models, Signals, and Control
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
“has been precisely estimated and has been validated by comparison with both multiple tracer [46] and glucose clamp [47] techniques.”
Self-citationEffects of Age and Sex on Postprandial Glucose Metabolism
Basu, R., Dalla Man, C., Campioni, M., Basu, A., Klee, G., Toffolo, G., Cobelli, C., & Rizza, R. A. (2006) · Diabetes · doi:10.2337/db05-1692 · Cited by 334
Self-citationA System Model of Oral Glucose Absorption: Validation on Gold Standard Data
Man, C. D., Camilleri, M., & Cobelli, C. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.883792 · Cited by 313
Self-citationCobelli, 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
Self-citationDiurnal pattern to insulin secretion and insulin action in healthy individuals
Saad, A., Dalla Man, C., Nandy, D. K., Levine, J. A., Bharucha, A. E., Rizza, R. A., Basu, R., Carter, R. E., Cobelli, C., Kudva, Y. C., et al. (2012) · Diabetes · doi:10.2337/db11-1478 · Cited by 297
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Metadata
- Authors
- Dalla Man, C., Caumo, A., Basu, R., Rizza, R., Toffolo, G., & Cobelli, C.
- Affiliations
- University of Padua (IT)
- Venue
- American Journal of Physiology-Endocrinology and Metabolism
- Publisher
- American Physiological Society
- Published
- 2004-10
- Volume
- 287
- Issue
- 4
- Pages
- E637-E643
- ISSN
- 0193-1849 (ISSN-L)
- 1522-1555
- OpenAlex
- W2113594895
- Semantic Scholar
- 70f0547653f303f77c579b7da478c231e71203ad
- Cited by
- 198
- References
- 14
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 6 · 2023: 13 · 2022: 9 · 2021: 11 · 2020: 7 · 2019: 12 · 2018: 6 · 2017: 11 · 2016: 11 · 2015: 12 · 2014: 12 · 2013: 15 · 2012: 14
- FWCI
- 3.73
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- Locations
- American Journal of Physiology-Endocrinology and Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- Padua Research Archive (University of Padova) (submittedVersion, other-oa)
- Funders
- National Institutes of Health (RR-00585)
- National Institute on Aging (AG14383, P01AG014383)
- National Institute of Biomedical Imaging and Bioengineering (EB 01975, P41EB001975)
- National Center for Research Resources (RR-00585, M01RR000585)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- oral minimal model, insulin sensitivity, oral glucose tolerance test
- MeSH terms
- Absorption, Algorithms, Blood Glucose, Carbon Isotopes, Deuterium, Eating, Female, Glucose, Glucose Tolerance Test, Humans, Insulin, Insulin Resistance, Male, Middle Aged, Models, Biological, Tritium, Glucose Clamp Technique, Databases, Factual
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