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Identification of Pre-Disease State in NC/Nga Mice with Atopic dermatitis-like Symptoms using Dynamical Network Biomarkers

ABSTRACT: Atopic dermatitis (AD) is a common skin disease worldwide characterized by itchy eczema that undergoes cycles of exacerbation and remission. While several biomarkers reflect AD severity, reliable markers for predicting disease onset and recurrence remain unclear. The dynamical network biomarker (DNB) theory, which detects pre-disease states, or pre-symptomatic states by analyzing characteristic network fluctuations just before phase transitions from healthy states to disease states. To investigate the applicability of DNB theory to AD, we conducted blood transcriptome analysis in NC/Nga mice before and after the onset of AD-like dermatitis. We identified 356 DNB genes whose temporal fluctuations enabled the detection of the pre-disease state preceding AD-like dermatitis onset. These genes were significantly enriched in pathways related to endoplasmic reticulum stress and apoptosis; fluctuations in these pathways may be associated with the onset of AD. Our study indicates that the DNB theory may be applicable to AD and that identifying a pre-disease state may enable early intervention and disease prevention. Collectively, this approach could provide valuable insights into maintaining long-term remission and improving AD management strategies.

ORGANISM(S): Mus musculus

PROVIDER: GSE295168 | GEO | 2025/09/09

REPOSITORIES: GEO

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