Selective Regulation of the Insulin-Akt Pathway by Simultaneous Processing of Blood Insulin Pattern in the Liver

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Insulin exhibits several temporal patterns, such as the 10- to 15-min pulsatile (minutes), additional (hours), and basal (days) secretions, leading to selective insulin responses in vivo; however, the mechanisms by which different temporal patterns of insulin selectively regulate downstream molecules remain unknown. Revealing the mechanisms of selective regulation by temporal patterns of insulin is pivotal for understanding insulin actions in vivo. We examined selective regulation of the insulin-Akt pathway and its mechanisms in the liver under hyperinsulinemic-euglycemic clamp conditions. We obtained time series data of the insulin-Akt pathway molecules using different stimulation patterns and developed a mathematical model that could reproduce these data. We found that all temporal patterns of the blood insulin levels are encoded into the insulin receptor (IR), and downstream molecules selectively and simultaneously decode them via protein kinase B (Akt or PKB). Mathematical modeling revealed the mechanisms via differences in network structures, sensitivity, and time constants. Moreover, we simulated the type II diabetes mellitus (T2DM) condition using the model and found that abnormal blood insulin patterns might contribute to the pathogenesis and/or progression of T2DM. Given that almost all hormones exhibit distinct temporal patterns, temporal coding may be a general principle of system homeostasis by hormones.

Original languageEnglish
Title of host publicationMethods of Mathematical Oncology - Fusion of Mathematics and Biology
EditorsTakashi Suzuki, Clair Poignard, Mark Chaplain, Vito Quaranta
PublisherSpringer
Pages203-213
Number of pages11
ISBN (Print)9789811648656
DOIs
Publication statusPublished - 2021
EventInternational Symposium on Fusion of Mathematics and Biology, 2020 - Virtual, Online
Duration: Oct 26 2020Oct 28 2020

Publication series

NameSpringer Proceedings in Mathematics and Statistics
Volume370
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

Conference

ConferenceInternational Symposium on Fusion of Mathematics and Biology, 2020
CityVirtual, Online
Period10/26/2010/28/20

All Science Journal Classification (ASJC) codes

  • Mathematics(all)

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