The Library
A glucose-only model to extract physiological information from postprandial glucose profiles in subjects with normal glucose tolerance
Tools
Tools
Tools
Eichenlaub, Manuel, Khovanova, N. A., Gannon, Mary C., Nuttall, Frank Q. and Hattersley, John G. (2021) A glucose-only model to extract physiological information from postprandial glucose profiles in subjects with normal glucose tolerance. Journal of Diabetes Science and Technology . doi:10.1177/19322968211026978 (In Press)
|
PDF
WRAP-glucose-only-model-extract-physiological-information-postprandial-glucose-profiles-subjects-with-normal-glucose-tolerance-Khovanova-2021.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (1509Kb) | Preview |
Official URL: http://dx.doi.org/10.1177/19322968211026978
Abstract
Background:
Current mathematical models of postprandial glucose metabolism in people with normal and impaired glucose tolerance rely on insulin measurements and are therefore not applicable in clinical practice. This research aims to develop a model that only requires glucose data for parameter estimation while also providing useful information on insulin sensitivity, insulin dynamics and the meal-related glucose appearance (GA).
Methods:
The proposed glucose-only model (GOM) is based on the oral minimal model (OMM) of glucose dynamics and substitutes the insulin dynamics with a novel function dependant on glucose levels and GA. A Bayesian method and glucose data from 22 subjects with normal glucose tolerance are utilised for parameter estimation. To validate the results of the GOM, a comparison to the results of the OMM, obtained by using glucose and insulin data from the same subjects is carried out.
Results:
The proposed GOM describes the glucose dynamics with comparable precision to the OMM with an RMSE of 5.1 ± 2.3 mg/dL and 5.3 ± 2.4 mg/dL, respectively and contains a parameter that is significantly correlated to the insulin sensitivity estimated by the OMM (r = 0.7) Furthermore, the dynamic properties of the time profiles of GA and insulin dynamics inferred by the GOM show high similarity to the corresponding results of the OMM.
Conclusions:
The proposed GOM can be used to extract useful physiological information on glucose metabolism in subjects with normal glucose tolerance. The model can be further developed for clinical applications to patients with impaired glucose tolerance under the use of continuous glucose monitoring data.
| Item Type: | Journal Article | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QP Physiology | ||||||||||||
| Divisions: | Faculty of Science > Engineering | ||||||||||||
| Library of Congress Subject Headings (LCSH): | Glucose -- Metabolism -- Mathematical models, Insulin -- Absorption and adsorption -- Mathematical models | ||||||||||||
| Journal or Publication Title: | Journal of Diabetes Science and Technology | ||||||||||||
| Publisher: | Sage Publications, Inc. | ||||||||||||
| ISSN: | 1932-2968 | ||||||||||||
| Official Date: | 5 July 2021 | ||||||||||||
| Dates: |
|
||||||||||||
| DOI: | 10.1177/19322968211026978 | ||||||||||||
| Status: | Peer Reviewed | ||||||||||||
| Publication Status: | In Press | ||||||||||||
| Access rights to Published version: | Open Access | ||||||||||||
| RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
