Critical evaluation of the combined model approach for estimation of prehepatic insulin secretion
Abstract
The combined model approach uses kinetic analysis of both plasma insulin and C-peptide dynamics to estimate prehepatic insulin secretion rates and parameters of insulin and C-peptide kinetics. The original model used single-compartment kinetics to describe both insulin and C-peptide despite knowledge that C-peptide follows two-compartment kinetics. The performance of the model under rapidly changing secretory conditions has come into question. Thus a more complex combined model is introduced, incorporating two-compartmental C-peptide disappearance. The addition of two-compartment C-peptide kinetics required a novel numerical approach to allow estimation of model parameters. This simulation study was undertaken to 1) compare the performance of the original combined model and 2) examine the numerical method used to identify parameters for the extended combined model with two-compartment C-peptide kinetics under simulated conditions of rapidly changing insulin and C-peptide. Monte Carlo simulation revealed that the original combined model does not provide accurate estimates of prehepatic insulin secretion under rapid kinetics. However, the extended combined model provides accurate reconstruction of prehepatic insulin secretory profile without separate quantification of C-peptide kinetics.
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Using an insulin-modified FSIGT instead of an OGTT limited confounding from gastrointestinal or incretin effects, and together with a minimal-model approach allowed more precise quantification of specific components of glucose metabolism (SI, β-cell function, glucose effectiveness, and hepatic extraction).
“Unlike previous studies that relied on OGTT, we used the insulin-modified FSIGT to limit confounding from gastrointestinal or incretin effects. Together with a minimal-model approach, this allowed more precise quantification of specific components of glucose metabolism, such as SI, β-cell function, glucose effectiveness, and hepatic extraction (15–17).”
From Melatonin Impairs Glucose Tolerance, First-Phase Insulin Secretion, and Insulin Feedback Inhibition; Interaction With <i>MTNR1B</i> Diabetes Risk Variant (2026) · cites this paper as [17]
First-pass hepatic insulin extraction and whole-body insulin clearance were estimated using the insulin kinetics model proposed by Watanabe et al.
“Additionally, first-pass hepatic insulin extraction and whole-body insulin clearance were estimated using the insulin kinetics model proposed by Watanabe et al. (17).”
From Melatonin Impairs Glucose Tolerance, First-Phase Insulin Secretion, and Insulin Feedback Inhibition; Interaction With <i>MTNR1B</i> Diabetes Risk Variant (2026) · cites this paper as [17]
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 · cited 2× · see citing works
“Furthermore, integrated application of the extended combined model and the Minimal Model of glucose kinetics (2, 5, 6) to intravenous glucose tolerance test data provides clinicians the ability to obtain a near complete metabolic profile for a given subject.”
MethodSelf-citationBergman, R. N., Phillips, L. S., & Cobelli, C. (1981) · Journal of Clinical Investigation · doi:10.1172/jci110398 · Cited by 1,640 · see citing works
Self-citationSplanchnic insulin metabolism in obesity. Influence of body fat distribution.
Peiris, A. N., Mueller, R. A., Smith, G. A., Struve, M. F., & Kissebah, A. H. (1986) · Journal of Clinical Investigation · doi:10.1172/jci112758 · Cited by 346 · see citing works
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Loss of beta cell function as fasting glucose increases in the non-diabetic range
Godsland, I. F., Jeffs, J. A. R., & Johnston, D. G. (2004) · Diabetologia · doi:10.1007/s00125-004-1454-z · Cited by 131 · see citing works
Qian, J., Stefanovski, D., Andersen, P. A. K., Vujovic, N., Kelly, L., Lepson, J., Nguyen, H., Byrne, S., Wang, W., Mandrup-Poulsen, T., et al. (2026) · Diabetes Care · doi:10.2337/dc26-0164
- Authors
- Watanabe, R. M., Steil, G. M., & Bergman, R. N.
- Affiliations
- University of Southern California (US)
- Venue
- American Journal of Physiology-Endocrinology and Metabolism
- Publisher
- American Physiological Society
- Published
- 1998-01-01
- Volume
- 274
- Issue
- 1
- Pages
- E172-E183
- ISSN
- 0193-1849 (ISSN-L)
- 1522-1555
- OpenAlex
- W2156712503
- Cited by
- 35
- References
- 3
- Citations by year
- 2023: 1 · 2022: 1 · 2018: 1 · 2016: 3 · 2015: 1 · 2014: 1 · 2013: 3 · 2012: 1
- FWCI
- 1.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Physiology-Endocrinology and Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (AG0-0093)
- National Human Genome Research Institute (T32HG000042, T32 HG00042)
- National Institute of Diabetes and Digestive and Kidney Diseases (F32DK009525, F32 DK09525)
- Topics
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- C-peptide kinetics, combined model, parameter estimation
- MeSH terms
- Insulin Secretion, Animals, C-Peptide, Humans, Insulin, Islets of Langerhans, Kinetics, Liver, Mathematics, Models, Biological, Monte Carlo Method, Least-Squares Analysis
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