A Mathematical Modeling and Treatment Analysis of Dynamic Glucose Metabolism with Brain-based Regulatory Mechanism

Hanae Ofuji; Yasuaki Wasa; Kenji Hirata; Hidenori Kimura; Kenko Uchida

doi:10.1016/j.ifacol.2023.10.1525

A Mathematical Modeling and Treatment Analysis of Dynamic Glucose Metabolism with Brain-based Regulatory Mechanism

Hanae Ofuji^*, Yasuaki Wasa^*, Kenji Hirata, Hidenori Kimura, Kenko Uchida^*

^*Corresponding author for this work

Electric and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper presents an elaborate mathematical model of dynamic glucose metabolism. Although it is known that the control mechanism of glucose metabolism is partly related to the brain, almost all existing papers ignore the brain mechanism in the dynamic glucose metabolism of diabetes. Then, we propose a refined mathematical model to integrate the brain-based regulatory mechanism with leptin into the conventional FDA approval model for all human beings to obtain an optimal combined treatment of not only insulin therapy but also leptin therapy. The effectiveness and limitations of the proposed combined therapy with insulin and leptin for not only type 1 diabetes mellitus but also type 2 diabetes mellitus are also evaluated through in silico experiments.

Original language	English
Title of host publication	IFAC-PapersOnLine
Editors	Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
Publisher	Elsevier B.V.
Pages	3630-3635
Number of pages	6
Edition	2
ISBN (Electronic)	9781713872344
DOIs	https://doi.org/10.1016/j.ifacol.2023.10.1525
State	Published - 2023/07/01
Event	22nd IFAC World Congress - Yokohama, Japan Duration: 2023/07/09 → 2023/07/14

Publication series

Name	IFAC-PapersOnLine
Number	2
Volume	56
ISSN (Electronic)	2405-8963

Conference

Conference	22nd IFAC World Congress
Country/Territory	Japan
City	Yokohama
Period	2023/07/09 → 2023/07/14

Keywords

Glucose metabolism
brain-based regulatory mechanism
combined treatment
dynamic modeling
insulin
leptin

ASJC Scopus subject areas

Control and Systems Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.ifacol.2023.10.1525

Cite this

Ofuji, H., Wasa, Y., Hirata, K., Kimura, H., & Uchida, K. (2023). A Mathematical Modeling and Treatment Analysis of Dynamic Glucose Metabolism with Brain-based Regulatory Mechanism. In H. Ishii, Y. Ebihara, J. Imura, & M. Yamakita (Eds.), IFAC-PapersOnLine (2 ed., pp. 3630-3635). (IFAC-PapersOnLine; Vol. 56, No. 2). Elsevier B.V.. https://doi.org/10.1016/j.ifacol.2023.10.1525

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abstract = "This paper presents an elaborate mathematical model of dynamic glucose metabolism. Although it is known that the control mechanism of glucose metabolism is partly related to the brain, almost all existing papers ignore the brain mechanism in the dynamic glucose metabolism of diabetes. Then, we propose a refined mathematical model to integrate the brain-based regulatory mechanism with leptin into the conventional FDA approval model for all human beings to obtain an optimal combined treatment of not only insulin therapy but also leptin therapy. The effectiveness and limitations of the proposed combined therapy with insulin and leptin for not only type 1 diabetes mellitus but also type 2 diabetes mellitus are also evaluated through in silico experiments.",

keywords = "Glucose metabolism, brain-based regulatory mechanism, combined treatment, dynamic modeling, insulin, leptin",

author = "Hanae Ofuji and Yasuaki Wasa and Kenji Hirata and Hidenori Kimura and Kenko Uchida",

note = "Publisher Copyright: Copyright {\textcopyright} 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/); 22nd IFAC World Congress ; Conference date: 09-07-2023 Through 14-07-2023",

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Ofuji, H, Wasa, Y, Hirata, K, Kimura, H & Uchida, K 2023, A Mathematical Modeling and Treatment Analysis of Dynamic Glucose Metabolism with Brain-based Regulatory Mechanism. in H Ishii, Y Ebihara, J Imura & M Yamakita (eds), IFAC-PapersOnLine. 2 edn, IFAC-PapersOnLine, no. 2, vol. 56, Elsevier B.V., pp. 3630-3635, 22nd IFAC World Congress, Yokohama, Japan, 2023/07/09. https://doi.org/10.1016/j.ifacol.2023.10.1525

A Mathematical Modeling and Treatment Analysis of Dynamic Glucose Metabolism with Brain-based Regulatory Mechanism. / Ofuji, Hanae; Wasa, Yasuaki; Hirata, Kenji et al.
IFAC-PapersOnLine. ed. / Hideaki Ishii; Yoshio Ebihara; Jun-ichi Imura; Masaki Yamakita. 2. ed. Elsevier B.V., 2023. p. 3630-3635 (IFAC-PapersOnLine; Vol. 56, No. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper presents an elaborate mathematical model of dynamic glucose metabolism. Although it is known that the control mechanism of glucose metabolism is partly related to the brain, almost all existing papers ignore the brain mechanism in the dynamic glucose metabolism of diabetes. Then, we propose a refined mathematical model to integrate the brain-based regulatory mechanism with leptin into the conventional FDA approval model for all human beings to obtain an optimal combined treatment of not only insulin therapy but also leptin therapy. The effectiveness and limitations of the proposed combined therapy with insulin and leptin for not only type 1 diabetes mellitus but also type 2 diabetes mellitus are also evaluated through in silico experiments.

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KW - combined treatment

KW - dynamic modeling

KW - insulin

KW - leptin

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PB - Elsevier B.V.

T2 - 22nd IFAC World Congress

Y2 - 9 July 2023 through 14 July 2023

ER -

A Mathematical Modeling and Treatment Analysis of Dynamic Glucose Metabolism with Brain-based Regulatory Mechanism

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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