Dynamical network biomarker analysis using multi-organ RNA sequencing in metabolic syndrome model mice
Dynamical network biomarker (DNB) theory has emerged as a powerful framework for detecting early warning signals of pre-disease states. Based on our previous work demonstrating its utility in adipose tissue of metabolic syndrome model mice, we conducted a comprehensive DNB analysis using RNA sequencing data across 13 organs and 14 to 16 time points in high-fat diet-fed mice. Our findings revealed organ-specific variation in the timing of early warning signals, suggesting heterogeneous inter-organ dynamics during the pre-disease state of metabolic syndrome. These results highlight the potential of DNB theory for elucidating systemic early-stage pathophysiology in complex metabolic disorders.
Authors
- Keiichi Koizumi
- Kazutaka Akagi (ORCID: https://orcid.org/0000-0001-7694-425X)
- Makoto Kadowaki (ORCID: https://orcid.org/0000-0002-5945-9380)
- Akiko Inujima (ORCID: https://orcid.org/0000-0003-0430-8419)
- Shiho Fujisaka (ORCID: https://orcid.org/0000-0003-0554-9003)
- T. Wada
- Toshiyasu Sasaoka (ORCID: https://orcid.org/0000-0003-3057-8674)
- Makito Oku (ORCID: https://orcid.org/0000-0002-0282-2361)
- Yasuhiro Onogi (ORCID: https://orcid.org/0000-0002-7950-8952)
- Kazuyuki Aihara
- Xun Shen
- Jun-ichi Imura
- Kazuyuki Tobe
- Shigeru Saito
Institutions
- Kanazawa Medical University (JP)
- Systems Biology Institute (JP)
- University of Toyama (JP)
- The University of Tokyo (JP)
- Tokyo University of Agriculture and Technology (JP)
Publication Details
- Journal
- Nonlinear Theory and Its Applications IEICE
- Published
- 2025-12-31
- DOI
- https://doi.org/10.1587/nolta.17.186
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Moonshot Research and Development Program