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
View sourceWhat 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.
Related Questions
Explore related topics and deepen your understanding
Has DNB-based blood transcriptomics been validated in humans to predict atopic dermatitis flares?Which biomarkers best predict onset or relapse in atopic dermatitis, and what are their accuracy metrics?What evidence links endoplasmic reticulum stress and apoptosis pathways to triggering atopic dermatitis flares?