Identification of Pre-Disease State in NC/Nga Mice with Atopic Dermatitis-Like Symptoms Using Dynamical Network Biomarkers

Journal of Investigative Dermatology
Open Access

Clinical Summary

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What was studied

Blood transcriptome time-series in NC/Nga mice was analyzed before and after onset of AD-like dermatitis to test whether dynamical network biomarker (DNB) theory can detect a pre-disease state.

Key findings

A set of 356 DNB genes showed temporal fluctuations that identified a pre-disease state before AD-like dermatitis onset; these genes were enriched in endoplasmic reticulum stress and apoptosis pathways.

Study limitations

Findings come from a mouse model, limiting generalizability to humans; the abstract does not report sample size or predictive performance metrics for pre-disease detection.