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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationIFAC-PapersOnLine
EditorsHideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
PublisherElsevier B.V.
Pages3630-3635
Number of pages6
Edition2
ISBN (Electronic)9781713872344
DOIs
StatePublished - 2023/07/01
Event22nd IFAC World Congress - Yokohama, Japan
Duration: 2023/07/092023/07/14

Publication series

NameIFAC-PapersOnLine
Number2
Volume56
ISSN (Electronic)2405-8963

Conference

Conference22nd IFAC World Congress
Country/TerritoryJapan
CityYokohama
Period2023/07/092023/07/14

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering

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