Modeling Intestinal Glucose Absorption from D-Xylose Data

Danilo Dursoniah, Maxime Folschette, Rebecca Goutchtat, Violeta Raverdy, François Pattou, Cédric Lhoussaine

2024

Abstract

Type 2 Diabetes (T2D) is one of the main epidemics of this century. One of the hypothesis of medical research is that an important cause of T2D may be the abnormal regulation of intestinal glucose absorption (IGA). Early detection of IGA disorders, and, more generally, precision medicine, may help to prevent the risk of T2D. This could be achieved by predictive models of glucose dynamics in blood following an oral ingestion. Even though many such models have been proposed, they either do not cope with IGA at all, or their calibration requires the use of complex and invasive tracer protocols that make them clinically unusable on a daily basis. To overcome this issue, D-xylose may be used as an IGA marker. Indeed, it is a glucose analogue with similar intestinal absorption mechanisms but, contrary to glucose, its dynamics in blood only results from gastric emptying, intestinal absorption and elimination by the kidney. In this paper, we investigate a model-based assessment of IGA based on D-xylose dynamics in blood after oral absorption. We show that a multi-compartment model of instestinal absorption can fit very well D-xylose data obtained from different experimental conditions and be a good qualitative estimate of IGA. Additionnally, because gastric emptying is a possible confounding factor with intestinal absorption, we explore the relative contribution of both mechanisms to the rate of D-xylose (and thus glucose) appearance in blood.

Paper Citation

in Harvard Style

Dursoniah D., Folschette M., Goutchtat R., Raverdy V., Pattou F. and Lhoussaine C. (2024). Modeling Intestinal Glucose Absorption from D-Xylose Data. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS; ISBN 978-989-758-688-0, SciTePress, pages 438-445. DOI: 10.5220/0012358300003657

in Bibtex Style

@conference{bioinformatics24,
author={Danilo Dursoniah and Maxime Folschette and Rebecca Goutchtat and Violeta Raverdy and François Pattou and Cédric Lhoussaine},
title={Modeling Intestinal Glucose Absorption from D-Xylose Data},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS},
year={2024},
pages={438-445},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012358300003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS
TI - Modeling Intestinal Glucose Absorption from D-Xylose Data
SN - 978-989-758-688-0
AU - Dursoniah D.
AU - Folschette M.
AU - Goutchtat R.
AU - Raverdy V.
AU - Pattou F.
AU - Lhoussaine C.
PY - 2024
SP - 438
EP - 445
DO - 10.5220/0012358300003657
PB - SciTePress