Suppression of Dynamical Network Biomarker Signals at the Predisease State (


Journal

Evidence-based complementary and alternative medicine : eCAM
ISSN: 1741-427X
Titre abrégé: Evid Based Complement Alternat Med
Pays: United States
ID NLM: 101215021

Informations de publication

Date de publication:
2020
Historique:
received: 25 11 2019
revised: 30 06 2020
accepted: 07 07 2020
entrez: 25 8 2020
pubmed: 25 8 2020
medline: 25 8 2020
Statut: epublish

Résumé

Due to the increasing incidence of metabolic syndrome, the development of new therapeutic strategies is urgently required. One promising approach is to focus on the predisease state (so-called

Identifiants

pubmed: 32831883
doi: 10.1155/2020/9129134
pmc: PMC7424500
doi:

Types de publication

Journal Article

Langues

eng

Pagination

9129134

Commentaires et corrections

Type : ErratumIn

Informations de copyright

Copyright © 2020 Keiichi Koizumi et al.

Déclaration de conflit d'intérêts

The authors declare that they have no conflicts of interest.

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Auteurs

Keiichi Koizumi (K)

Division of Kampo Diagnostics, Institute of Natural Medicine, University of Toyama, Toyama, Japan.
Laboratory of Drug Discovery and Development for Pre-disease, Section of Host Defences, Division of Bioscience, Institute of Natural Medicine, University of Toyama, Toyama, Japan.

Makito Oku (M)

Division of Chemo-Bioinformatics, Institute of Natural Medicine, University of Toyama, Toyama, Japan.
Laboratory of Chemo-Bioinformatics, Section of Host Defences, Division of Bioscience, Institute of Natural Medicine, University of Toyama, Toyama, Japan.

Shusaku Hayashi (S)

Division of Gastrointestinal Pathophysiology, Institute of Natural Medicine, University of Toyama, Toyama, Japan.
Laboratory of Gastrointestinal Disorder, Section of Host Defences, Division of Bioscience, Institute of Natural Medicine, University of Toyama, Toyama, Japan.

Akiko Inujima (A)

Division of Kampo Diagnostics, Institute of Natural Medicine, University of Toyama, Toyama, Japan.
Laboratory of Drug Discovery and Development for Pre-disease, Section of Host Defences, Division of Bioscience, Institute of Natural Medicine, University of Toyama, Toyama, Japan.

Naotoshi Shibahara (N)

Division of Kampo Diagnostics, Institute of Natural Medicine, University of Toyama, Toyama, Japan.

Luonan Chen (L)

CAS Center for Excellence in Molecular Cell Science, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan.

Yoshiko Igarashi (Y)

First Department of Internal Medicine, Faculty of Medicine, University of Toyama, Toyama, Japan.

Kazuyuki Tobe (K)

First Department of Internal Medicine, Faculty of Medicine, University of Toyama, Toyama, Japan.

Shigeru Saito (S)

University of Toyama, Toyama, Japan.

Makoto Kadowaki (M)

Division of Gastrointestinal Pathophysiology, Institute of Natural Medicine, University of Toyama, Toyama, Japan.

Kazuyuki Aihara (K)

Institute of Industrial Science, The University of Tokyo, Tokyo, Japan.
International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Preemptive Study, The University of Tokyo, Tokyo, Japan.

Classifications MeSH