Transcriptomics

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Dynamical network biomarker analysis using multi-organ RNA sequencing in metabolic syndrome model mice


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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