Evidence map›Paper›PMID 39349490›Full record

ArticleNPJ systems biology and applications2024

Time and dose selective glucose metabolism for glucose homeostasis and energy conversion in the liver.

Yifei Pan, Atsushi Hatano, Satoshi Ohno, Keigo Morita, Toshiya Kokaji, Yunfan Bai, Hikaru Sugimoto, Riku Egami, Akira Terakawa, Dongzi Li and 9 more

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Yifei Pan *Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Atsushi Hatano *Department of Omics and Systems Biology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
Satoshi OhnoDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Keigo MoritaDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Toshiya KokajiDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Yunfan BaiDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Hikaru SugimotoDepartment of Biochemistry and Molecular Biology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-6468-0127
Riku EgamiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Akira TerakawaDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Dongzi LiDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Saori UematsuDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Hideki MaeharaDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Suguru FujitaDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Hiroshi InoueMetabolism and Nutrition Research Unit, Institute for Frontier Science Initiative, Kanazawa University, Kanazawa, Ishikawa, Japan.
Yuka InabaMetabolism and Nutrition Research Unit, Institute for Frontier Science Initiative, Kanazawa University, Kanazawa, Ishikawa, Japan.
Atsushi J NaganoFaculty of Agriculture, Ryukoku University, Otsu, Shiga, Japan.
Akiyoshi HirayamaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.
Tomoyoshi SogaHuman Biology-Microbiome-Quantum Research Center (WPI-Bio2Q), Keio University, 108-8345, Tokyo, Japan.ORCID http://orcid.org/0000-0001-9502-2509
Shinya KurodaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan. skuroda@bs.s.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0001-5059-8299

Funding

MEXT | Japan Science and Technology Agency (JST) JPMJCR2123MEXT | Japan Society for the Promotion of Science (JSPS) JP17H06299MEXT | Japan Society for the Promotion of Science (JSPS) JP21H04759MEXT | Japan Society for the Promotion of Science (JSPS) JP21K14467MEXT | Japan Society for the Promotion of Science (JSPS) JP21K15342MEXT | Japan Society for the Promotion of Science (JSPS) JP21K16349MEXT | Japan Society for the Promotion of Science (JSPS) JP22K15034
6 · The paper itself

Abstract

Hepatic glucose metabolism serves dual purposes: maintaining glucose homeostasis and converting glucose into energy sources; however, the underlying mechanisms are unclear. We quantitatively measured liver metabolites, gene expression, and phosphorylated insulin signaling molecules in mice orally administered varying doses of glucose, and constructed a transomic network. Rapid phosphorylation of insulin signaling molecules in response to glucose intake was observed, in contrast to the more gradual changes in gene expression. Glycolytic and gluconeogenic metabolites and expression of genes involved in glucose metabolism including glucose-6-phosphate, G6pc, and Pck1, demonstrated high glucose dose sensitivity. Whereas, glucokinase expression and glycogen accumulation showed low glucose dose sensitivity. During the early phase after glucose intake, metabolic flux was geared towards glucose homeostasis regardless of the glucose dose but shifted towards energy conversion during the late phase at higher glucose doses. Our research provides a comprehensive view of time- and dose-dependent selective glucose metabolism.

Indexed as

Energy MetabolismGlucoseHomeostasisLiverAnimalsGlucokinaseGluconeogenesisGlucose-6-PhosphateGlycolysisInsulinMaleMiceMice, Inbred C57BLPhosphorylationSignal TransductionGlucokinaseGlucoseGlucose-6-PhosphateInsulin

Identifiers

PMID39349490
PMCPMC11443093

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.