Modeling Phasic Insulin Release
Open accessAbstract
The cellular and molecular mechanisms of insulin secretion are being intensively investigated, yet most researchers are seemingly unaware of the complexity of the dynamic regulation of the secretion. In this article, we summarize studies of the physiology of insulin secretion performed over several decades. The insulin response of perifused islets of rats, perfused rat pancreas, or that of a human, to a square-wave glucose stimulus is biphasic, a transient first-phase response of 4- to 10-min duration followed by a gradual rise in secretion rates (second-phase response). Several hypotheses have been proposed to account for the phasic nature of insulin secretion; they are briefly discussed in this review. We have favored the hypothesis that nutrient stimulators such as glucose, in addition to a primary and almost immediate secretory signal, with time induce both stimulatory and inhibitory messages in the β-cell, and those messages modulate the primary insulinogenic signal. Indeed, studies in the rat pancreas and in humans have demonstrated that short stimulations with glucose generate a state of refractoriness of the insulin secretion, which we have termed time-dependent inhibition (TDI). Nonnutrient secretagogues such as arginine induce strong TDI independent of the duration of stimulation. Once the agent is removed, TDI persists for a considerable period. In contrast, prolonged stimulations with glucose (and other nutrients) lead to the amplification of the insulin response to subsequent stimuli; this can be demonstrated in the perfused rat pancreas, in perifused islets from several rodents, and in humans. We have termed this stimulatory signal time-dependent potentiation (TDP). The generation of TDP requires higher glucose concentrations and prolonged stimulation; the effect is retained for some time after cessation of the stimulus. Of major interest is the observation that, while the acute insulin response to glucose is severely reduced in glucose-intolerant animals and humans, TDP seems to be intact. The cellular mechanisms of TDI and TDP are poorly understood, but data reviewed here suggest that they are distinct from those that lead to the acute insulin response to stimuli. A model is proposed whereby the magnitude and kinetics of the insulin response to a given stimulus reflect the balance between TDP and TDI. Researchers studying the cellular and molecular mechanisms of insulin release are urged to take into consideration these complex and opposing factors which regulate insulin secretion.
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Glucose-induced insulin secretion follows a biphasic time course in both mouse and human islets.
“As will be discussed at length below (Section IX), glucose-induced insulin secretion (GIIS) follows a biphasic time course in both mouse and human islets.”
From Pancreatic β-Cell Electrical Activity and Insulin Secretion: Of Mice and Men (2018) · cites this paper as [473]
The opening passage in Section 2 describes a biphasic response to a square-wave glucose stimulus in perifused rat islets, perfused rat pancreas, and humans. It does not establish that the response was observed in mouse islets or isolated human islets, as the claim specifies. The section on biphasic insulin release also notes that clear phasicity is not detected after oral glucose. (LLM, conf=0.87)
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Dynamics of Insulin Secretion by the Perfused Rat Pancreas
CURRY, D. L., BENNETT, L. L., & GRODSKY, G. M. (1968) · Endocrinology · doi:10.1210/endo-83-3-572 · Cited by 601 · see citing works
Proinsulin, insulin, and C-peptide concentrations in human portal and peripheral blood.
Horwitz, D. L., Starr, J. I., Mako, M. E., Blackard, W. G., & Rubenstein, A. H. (1975) · Journal of Clinical Investigation · doi:10.1172/jci108047 · Cited by 473 · see citing works
An analogue computer model for the insulin response to glucose infusion
Cerasi, E., & Andersson, B. (1971) · SIMULATION · doi:10.1177/003754977101600601 · Cited by 24 · see citing works
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Research works printed but not linked: 3
- Cerasi E: Aetiology of type II diabetes. In Insulin: Molecular Biology to Pathology. Ashcroft FM, Ashcroft SJH, Eds. Oxford, UK, Oxford University Press, 1992, p. 347-392
- Cerasi E: Differential actions of glucose on insulin release: reevaluation of a mathematical model. In Carbohydrate Metabolism. Cobelli C, Bergman RN, Eds. New York, John Wiley & Sons, 1981, p. 3-24
- Cerasi E, Nesher R: Assesment of insulin secretion dynamics. In Methods in Diabetes Research. Clarke WL, Larner J, Pohl SL, Eds. New York, John Wiley & Sons, 1986, p. 77-90
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Pancreatic β-Cell Electrical Activity and Insulin Secretion: Of Mice and Men
Rorsman, P., & Ashcroft, F. M. (2018) · Physiological Reviews · doi:10.1152/physrev.00008.2017 · Cited by 793 · see citing works
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 · see citing works
“for granules having different thresholds [149], but Grodsky”
Wang, Z., & Thurmond, D. C. (2009) · Journal of Cell Science · doi:10.1242/jcs.034355 · Cited by 386 · see citing works
Insulin analogues in type 1 diabetes mellitus: Getting better all the time
Mathieu, C., Gillard, P., & Benhalima, K. (2017) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2017.39 · Cited by 248 · see citing works
Jakubowicz, D., Wainstein, J., Landau, Z., Raz, I., Ahren, B., Chapnik, N., Ganz, T., Menaged, M., Barnea, M., Bar-Dayan, Y., et al. (2017) · Diabetes Care · doi:10.2337/dc16-2753 · Cited by 178 · see citing works
Optimizing Adult Protein Intake During Catabolic Health Conditions
Phillips, S. M., Paddon-Jones, D., & Layman, D. K. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa047 · Cited by 65 · see citing works
Jakubowicz, D., Wainstein, J., Landau, Z., Ahren, B., Barnea, M., Bar-Dayan, Y., & Froy, O. (2017) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2017.07.005 · Cited by 59 · see citing works
Jhun, B. S., Lee, H., Jin, Z.-G., & Yoon, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060810 · Cited by 49 · see citing works
Advancing Our Understanding of the Glucose System via Modeling: A Perspective
Cobelli, C., Dalla Man, C., Pedersen, M. G., Bertoldo, A., & Toffolo, G. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2310514 · Cited by 46 · see citing works
- Authors
- Nesher, R., & Cerasi, E.
- Affiliations
- Hebrew University of Jerusalem (IL)
- ORCID
- Cerasi, Erol
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2002-02-01
- Volume
- 51
- Issue
- suppl_1
- Pages
- S53-S59
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W1980164069
- Cited by
- 179
- References
- 3
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 10 · 2020: 5 · 2019: 4 · 2018: 2 · 2017: 12 · 2016: 4 · 2015: 11 · 2014: 7 · 2013: 8 · 2012: 14
- FWCI
- 2.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- insulin secretion, first-phase insulin response, second-phase insulin response, time-dependent inhibition, L-arginine, glucose tolerance, insulin response to glucose, pancreatic islets
- MeSH terms
- Insulin Secretion, Animals, Diabetes Mellitus, Type 2, Disease Models, Animal, Glucose, Humans, Insulin, Islets of Langerhans, Signal Transduction
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