Modeling Intraperitoneal Insulin Absorption in Patients with Type 1 Diabetes.

artificial pancreas insulin delivery intraperitoneal route mathematical modeling parameter estimation

Journal

Metabolites
ISSN: 2218-1989
Titre abrégé: Metabolites
Pays: Switzerland
ID NLM: 101578790

Informations de publication

Date de publication:
03 Sep 2021
Historique:
received: 23 07 2021
revised: 27 08 2021
accepted: 01 09 2021
entrez: 26 9 2021
pubmed: 27 9 2021
medline: 27 9 2021
Statut: epublish

Résumé

Standard insulin therapy to treat type 1 diabetes (T1D) consists of exogenous insulin administration through the subcutaneous (SC) tissue. Despite recent advances in insulin formulations, the SC route still suffers from delays and large inter/intra-subject variability that limiting optimal glucose control. Intraperitoneal (IP) insulin administration, despite its higher invasiveness, was shown to represent a valid alternative to the SC one. To date, no mathematical model describing the absorption and distribution of insulin after IP administration is available. Here, we aim to fill this gap by using data from eight patients with T1D, treated by implanted IP pump, studied in a hospitalized setting, with frequent measurements of plasma insulin and glucose concentration. A battery of models describing insulin kinetics after IP administration were tested. Model comparison and selection were performed based on model ability to predict the data, precision of parameters and parsimony criteria. The selected model assumed that the insulin absorption from the IP space was described by a linear, two-compartment model, coupled with a two-compartment model of whole-body insulin kinetics with hepatic insulin extraction controlled by hepatic insulin. Future developments include model incorporation into the UVa/Padova T1D Simulator for testing open- and closed-loop therapies with IP insulin administration.

Identifiants

pubmed: 34564415
pii: metabo11090600
doi: 10.3390/metabo11090600
pmc: PMC8465342
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Ministero dell'Istruzione, dell'Università e della Ricerca
ID : "Departments of Excellence" (Law 232/2016)
Organisme : Università degli Studi di Padova
ID : SID Networking Project 2019

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Auteurs

Michele Schiavon (M)

Department of Information Engineering, University of Padova, 35131 Padova, Italy.

Claudio Cobelli (C)

Department of Woman and Child's Health, University of Padova, 35128 Padova, Italy.

Chiara Dalla Man (C)

Department of Information Engineering, University of Padova, 35131 Padova, Italy.

Classifications MeSH