Glucagon kinetics assessed by mathematical modelling during oral glucose administration in people spanning from normal glucose tolerance to type 2 diabetes.


Journal

Frontiers in endocrinology
ISSN: 1664-2392
Titre abrégé: Front Endocrinol (Lausanne)
Pays: Switzerland
ID NLM: 101555782

Informations de publication

Date de publication:
2024
Historique:
received: 25 01 2024
accepted: 28 03 2024
medline: 29 4 2024
pubmed: 29 4 2024
entrez: 29 4 2024
Statut: epublish

Résumé

Glucagon is important in the maintenance of glucose homeostasis, with also effects on lipids. In this study, we aimed to apply a recently developed model of glucagon kinetics to determine the sensitivity of glucagon variations (especially, glucagon inhibition) to insulin levels ("alpha-cell insulin sensitivity"), during oral glucose administration. We studied 50 participants (spanning from normal glucose tolerance to type 2 diabetes) undergoing frequently sampled 5-hr oral glucose tolerance test (OGTT). The alpha-cell insulin sensitivity and the glucagon kinetics were assessed by a mathematical model that we developed previously. The alpha-cell insulin sensitivity parameter (named S The alpha-cell insulin sensitivity is highly variable among subjects, and it is different in groups at different glucose tolerance. This may be relevant for defining personalized treatment schemes, in terms of dietary prescriptions but also for treatments with glucagon-related agents.

Sections du résumé

Background/Objectives UNASSIGNED
Glucagon is important in the maintenance of glucose homeostasis, with also effects on lipids. In this study, we aimed to apply a recently developed model of glucagon kinetics to determine the sensitivity of glucagon variations (especially, glucagon inhibition) to insulin levels ("alpha-cell insulin sensitivity"), during oral glucose administration.
Subjects/Methods UNASSIGNED
We studied 50 participants (spanning from normal glucose tolerance to type 2 diabetes) undergoing frequently sampled 5-hr oral glucose tolerance test (OGTT). The alpha-cell insulin sensitivity and the glucagon kinetics were assessed by a mathematical model that we developed previously.
Results UNASSIGNED
The alpha-cell insulin sensitivity parameter (named S
Conclusions UNASSIGNED
The alpha-cell insulin sensitivity is highly variable among subjects, and it is different in groups at different glucose tolerance. This may be relevant for defining personalized treatment schemes, in terms of dietary prescriptions but also for treatments with glucagon-related agents.

Identifiants

pubmed: 38681771
doi: 10.3389/fendo.2024.1376530
pmc: PMC11045965
doi:

Substances chimiques

Glucagon 9007-92-5
Blood Glucose 0
Glucose IY9XDZ35W2
Insulin 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1376530

Informations de copyright

Copyright © 2024 Andreozzi, Mancuso, Rubino, Salvatori, Morettini, Monea, Göbl, Mannino and Tura.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Francesco Andreozzi (F)

Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.

Elettra Mancuso (E)

Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.

Mariangela Rubino (M)

Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.

Benedetta Salvatori (B)

CNR Institute of Neuroscience, Padova, Italy.

Micaela Morettini (M)

Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.

Giuseppe Monea (G)

Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.

Christian Göbl (C)

Department of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria.
Department of Obstetrics and Gynaecology, Medical University of Graz, Graz, Austria.

Gaia Chiara Mannino (GC)

Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy.

Andrea Tura (A)

CNR Institute of Neuroscience, Padova, Italy.

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Classifications MeSH