Logical design of oral glucose ingestion pattern minimizing blood glucose in humans.


Journal

NPJ systems biology and applications
ISSN: 2056-7189
Titre abrégé: NPJ Syst Biol Appl
Pays: England
ID NLM: 101677786

Informations de publication

Date de publication:
2019
Historique:
received: 05 03 2019
accepted: 06 08 2019
entrez: 12 9 2019
pubmed: 12 9 2019
medline: 28 4 2020
Statut: epublish

Résumé

Excessive increase in blood glucose level after eating increases the risk of macroangiopathy, and a method for not increasing the postprandial blood glucose level is desired. However, a logical design method of the dietary ingestion pattern controlling the postprandial blood glucose level has not yet been established. We constructed a mathematical model of blood glucose control by oral glucose ingestion in three healthy human subjects, and predicted that intermittent ingestion 30 min apart was the optimal glucose ingestion patterns that minimized the peak value of blood glucose level. We confirmed with subjects that this intermittent pattern consistently decreased the peak value of blood glucose level. We also predicted insulin minimization pattern, and found that the intermittent ingestion 30 min apart was optimal, which is similar to that of glucose minimization pattern. Taken together, these results suggest that the glucose minimization is achieved by suppressing the peak value of insulin concentration, rather than by enhancing insulin concentration. This approach could be applied to design optimal dietary ingestion patterns.

Identifiants

pubmed: 31508240
doi: 10.1038/s41540-019-0108-1
pii: 108
pmc: PMC6718521
doi:

Substances chimiques

Blood Glucose 0
C-Peptide 0
Insulin 0
Glucose IY9XDZ35W2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

31

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing interests.

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Auteurs

Masashi Fujii (M)

1Molecular Genetic Research Laboratory, Graduate School of Science, The University of Tokyo, Tokyo, 113-0033 Japan.
2Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, 113-0033 Japan.
11Present Address: Department of Integrated Sciences for Life, Graduate School of Integrated Sciences for Life, Hiroshima University, Hiroshima, 739-8526 Japan.

Yohei Murakami (Y)

3Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto, 606-8501 Japan.

Yasuaki Karasawa (Y)

Department of Neurosurgery, The University of Tokyo Hospital, The University of Tokyo, Tokyo, 113-0033 Japan.
5Department of Rehabilitation, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033 Japan.

Yohei Sumitomo (Y)

2Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, 113-0033 Japan.

Suguru Fujita (S)

2Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, 113-0033 Japan.

Masanori Koyama (M)

6Department of Mathematics, Graduate School of Science and Engineering, Ritsumeikan University, Shiga, 525-8577 Japan.

Shinsuke Uda (S)

7Division of Integrated Omics, Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University, Fukuoka, 812-8582 Japan.

Hiroyuki Kubota (H)

7Division of Integrated Omics, Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University, Fukuoka, 812-8582 Japan.

Hiroshi Inoue (H)

8Metabolism and Nutrition Research Unit, Institute for Frontier Science Initiative, Kanazawa University, Ishikawa, 920-8640 Japan.

Katsumi Konishi (K)

9Faculty of Computer and Information Sciences, Hosei University, Tokyo, 184-8584 Japan.

Shigeyuki Oba (S)

3Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto, 606-8501 Japan.

Shin Ishii (S)

3Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto, 606-8501 Japan.
10CREST, Japan Science and Technology Agency, Tokyo, 113-0033 Japan.

Shinya Kuroda (S)

1Molecular Genetic Research Laboratory, Graduate School of Science, The University of Tokyo, Tokyo, 113-0033 Japan.
2Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, 113-0033 Japan.
10CREST, Japan Science and Technology Agency, Tokyo, 113-0033 Japan.

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Classifications MeSH