Novel Diagnostic Tools and Markers for Inflammatory Skin Diseases
January 2016
in “
mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich)
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New to Alopecia Areata? There is a guide in the encyclopedia. Read the guide → Studysummary This thesis presents a new scientific approach using specific models to gain insights into psoriasis and eczema, highlighting a molecular classifier that improves diagnostic accuracy and predicts therapeutic response for these conditions.
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The thesis explored novel diagnostic tools and models for understanding inflammatory skin diseases, specifically psoriasis and eczema. It utilized three models: alopecia areata patients as a model for T cell-driven skin diseases, the human imiquimod model to mimic psoriasis pathways, and a cohort of patients with both psoriasis and eczema to identify disease-specific mechanisms. A molecular classifier using NOS2 and CCL27 genes was developed, offering high sensitivity and specificity in diagnosing these conditions and predicting therapeutic responses. This research aimed to improve diagnostics and treatment personalization for these complex diseases.
