Integration of Dynamical Network Biomarkers, Control Theory and <i>Drosophila</i> Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome

Integration of Dynamical Network Biomarkers, Control Theory and <i>Drosophila</i> Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome

Metabolic syndrome (MetS) is a subclinical disease, resulting in increased risk of type 2 diabetes (T2D), cardiovascular diseases, cancer, and mortality. Dynamical network biomarkers (DNB) theory has been developed to provide early-warning signals of the disease state during a preclinical stage. To...

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Bibliographic Details
Main Authors: Kazutaka Akagi, Ying-Jie Jin, Keiichi Koizumi, Makito Oku, Kaisei Ito, Xun Shen, Jun-ichi Imura, Kazuyuki Aihara, Shigeru Saito
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Cells
Subjects:
dynamical network biomarkers theory
DNB intervention analysis
metabolic syndrome
<i>Drosophila melanogaster</i>
Online Access:https://www.mdpi.com/2073-4409/14/6/415
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