Dynamical network biomarker analysis using multi-organ RNA sequencing in metabolic syndrome model mice
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ABSTRACT: 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.
ORGANISM(S): Mus musculus
PROVIDER: GSE305719 | GEO | 2025/08/23
REPOSITORIES: GEO
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