Intraperitoneal Insulin Delivery: Evidence of a Physiological Route for Artificial Pancreas From Compartmental Modeling
Open accessAbstract
Background: Intraperitoneal insulin delivery has proven to safely overcome a major limit of subcutaneous delivery—meal announcement—and has been able to optimize glycemic control in adults under controlled experimental conditions. In addition, intraperitoneal delivery avoids peripheral hyperinsulinemia resulting from the subcutaneous route and restores a physiological liver gradient. Methods: Relying on a unique data set of intraperitoneal closed-loop insulin delivery obtained with a Model Predictive Controller (MPC), we develop a compartmental model of intraperitoneal insulin kinetics, which, once included in the UVa/Padova T1D simulator, will facilitate the investigation of various control strategies, for example, the simpler Proportional Integral Derivative controller versus MPC. Results: Intraperitoneal insulin kinetics can be described with a 2-compartment model including liver and plasma. Conclusion: Intraperitoneal insulin transit is fast enough to render irrelevant the addition of a peritoneal compartment, proving the peritoneum being a virtual—not actual—transit space for insulin delivery.
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The authors developed a two-compartment model of IP insulin kinetics, proving that the peritoneal space acts as a virtual compartment and IP insulin delivery is virtually an intraportal (intrahepatic) delivery, thus mimicking the physiology of insulin secretion.
“In detail, we developed a two-compartment model of IP insulin kinetics, proving that the peritoneal space acts as a virtual compartment and IP insulin delivery is virtually an intraportal (intrahepatic) delivery, thus mimicking the physiology of insulin secretion.78”
From Developing the UVA/Padova Type 1 Diabetes Simulator: Modeling, Validation, Refinements, and Utility (2023) · cites this paper as [78]
The intraperitoneal (IP) absorption of insulin was modeled.
“the intraperitoneal (IP) absorption of insulin was modeled; 77,78”
From Developing the UVA/Padova Type 1 Diabetes Simulator: Modeling, Validation, Refinements, and Utility (2023) · cites this paper as [78]
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- Authors
- Lo Presti, J., Galderisi, A., Doyle, F. J., Zisser, H. C., Dassau, E., Renard, E., Toffanin, C., & Cobelli, C.
- Affiliations
- Department of Woman’s and Child’s Health, University of Padova, Padova, Italy
- Hôpital Necker-Enfants Malades (FR)
- Harvard University (US)
- University of California, Santa Barbara (US)
- Department of Endocrinology, Diabetes, Nutrition and INSERM Clinical Investigation Center 1411, University Hospital of Montpellier, Montpellier, France
- University of Pavia (IT)
- University of Padua (IT)
- Corresponding author
- Cobelli, Claudio
- ORCID
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2022-02-10
- Volume
- 17
- Issue
- 3
- Pages
- 751-756
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC10210098
- OpenAlex
- W4211240910
- Semantic Scholar
- 6a4097c1bfd4296567e9b59693db92258d026dc8
- Cited by
- 12
- References
- 15
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 1 · 2023: 4 · 2022: 2
- FWCI
- 1.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion)
- HAL (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Funders
- European Commission (951933)
- JDRF (17-2011-515)
- National Institute of Diabetes and Digestive and Kidney Diseases (DP3DK101068, R01DK085628)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- artificial pancreas, compartmental model, insulin kinetics, model predictive control, PID control, type 1 diabetes, glycemic control
- MeSH terms
- Epidemiological Models, Adult, Algorithms, Blood Glucose, Diabetes Mellitus, Type 1, Humans, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Pancreas, Artificial, Insulin, Regular, Human
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