In Vivo Decoding Mechanisms of the Temporal Patterns of Blood Insulin by the Insulin-AKT Pathway in the Liver

Hiroyuki Kubota, Shinsuke Uda, Fumiko Matsuzaki, Yukiyo Yamauchi, Shinya Kuroda

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Cells respond to various extracellular stimuli through a limited number of signaling pathways. One strategy to process such stimuli is to code the information into the temporal patterns of molecules. Although we showed that insulin selectively regulated molecules depending on its temporal patterns using Fao cells, the in vivo mechanism remains unknown. Here, we show how the insulin-AKT pathway processes the information encoded into the temporal patterns of blood insulin. We performed hyperinsulinemic-euglycemic clamp experiments and found that, in the liver, all temporal patterns of insulin are encoded into the insulin receptor, and downstream molecules selectively decode them through AKT. S6K selectively decodes the additional secretion information. G6Pase interprets the basal secretion information through FoxO1, while GSK3β decodes all secretion pattern information. Mathematical modeling revealed the mechanism via differences in network structures and from sensitivity and time constants. Given that almost all hormones exhibit distinct temporal patterns, temporal coding may be a general principle of system homeostasis by hormones. Kubota et al. show that the insulin-AKT pathway in the liver processes the information encoded into the temporal patterns of blood insulin and selectively regulates downstream molecules. Given that almost all hormones exhibit distinct temporal patterns, our study demonstrates the possibility of temporal coding as a general principle of systemic homeostasis by hormones.

Original languageEnglish
Pages (from-to)118-128.e3
JournalCell Systems
Volume7
Issue number1
DOIs
Publication statusPublished - Jul 25 2018

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All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Histology
  • Cell Biology

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