Literature DB >> 26224050

Semimechanistic model describing gastric emptying and glucose absorption in healthy subjects and patients with type 2 diabetes.

Oskar Alskär1, Jonatan I Bagger2, Rikke M Røge1,3, Filip K Knop2, Mats O Karlsson1, Tina Vilsbøll2, Maria C Kjellsson1.   

Abstract

The integrated glucose-insulin (IGI) model is a previously published semimechanistic model that describes plasma glucose and insulin concentrations after glucose challenges. The aim of this work was to use knowledge of physiology to improve the IGI model's description of glucose absorption and gastric emptying after tests with varying glucose doses. The developed model's performance was compared to empirical models. To develop our model, data from oral and intravenous glucose challenges in patients with type 2 diabetes and healthy control subjects were used together with present knowledge of small intestinal transit time, glucose inhibition of gastric emptying, and saturable absorption of glucose over the epithelium to improve the description of gastric emptying and glucose absorption in the IGI model. Duodenal glucose was found to inhibit gastric emptying. The performance of the saturable glucose absorption was superior to linear absorption regardless of the gastric emptying model applied. The semiphysiological model developed performed better than previously published empirical models and allows better understanding of the mechanisms underlying glucose absorption. In conclusion, our new model provides a better description and improves the understanding of dynamic glucose tests involving oral glucose.
© 2015, The American College of Clinical Pharmacology.

Entities:  

Keywords:  gastric emptying; glucose absorption; integrated glucose-insulin model; oral glucose tolerance test; semimechanistic modeling

Mesh:

Substances:

Year:  2015        PMID: 26224050     DOI: 10.1002/jcph.602

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  9 in total

1.  Model-Based Residual Post-Processing for Residual Model Identification.

Authors:  Moustafa M A Ibrahim; Rikard Nordgren; Maria C Kjellsson; Mats O Karlsson
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2.  Application of the integrated glucose-insulin model for cross-study characterization of T2DM patients on metformin background treatment.

Authors:  Joanna Parkinson; Bengt Hamrén; Maria C Kjellsson; Stanko Skrtic
Journal:  Br J Clin Pharmacol       Date:  2016-08-16       Impact factor: 4.335

3.  Mechanism-Based Modeling of Gastric Emptying Rate and Gallbladder Emptying in Response to Caloric Intake.

Authors:  B Guiastrennec; D P Sonne; M Hansen; J I Bagger; A Lund; J F Rehfeld; O Alskär; M O Karlsson; T Vilsbøll; F K Knop; M Bergstrand
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-12

Review 4.  Quantitative approaches to energy and glucose homeostasis: machine learning and modelling for precision understanding and prediction.

Authors:  Thomas McGrath; Kevin G Murphy; Nick S Jones
Journal:  J R Soc Interface       Date:  2018-01-24       Impact factor: 4.118

Review 5.  Mathematical Modeling for the Physiological and Clinical Investigation of Glucose Homeostasis and Diabetes.

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Journal:  Front Physiol       Date:  2020-11-25       Impact factor: 4.566

6.  A glucose-insulin-glucagon coupled model of the isoglycemic intravenous glucose infusion experiment.

Authors:  Vijaya Subramanian; Jonatan I Bagger; Jens J Holst; Filip K Knop; Tina Vilsbøll
Journal:  Front Physiol       Date:  2022-09-06       Impact factor: 4.755

7.  Impact of Obesity on Postprandial Triglyceride Contribution to Glucose Homeostasis, Assessed with a Semimechanistic Model.

Authors:  Jennifer Leohr; Maria C Kjellsson
Journal:  Clin Pharmacol Ther       Date:  2022-05-15       Impact factor: 6.903

Review 8.  Nutritional strategies to attenuate postprandial glycemic response.

Authors:  Kenneth Pasmans; Ruth C R Meex; Luc J C van Loon; Ellen E Blaak
Journal:  Obes Rev       Date:  2022-06-10       Impact factor: 10.867

9.  Toward Better Understanding of Insulin Therapy by Translation of a PK-PD Model to Visualize Insulin and Glucose Action Profiles.

Authors:  Karen Schneck; Lai San Tham; Ali Ertekin; Jesus Reviriego
Journal:  J Clin Pharmacol       Date:  2018-10-19       Impact factor: 3.126

  9 in total

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