A novel molecular disease classifier for psoriasis and eczema

Area of Science:

• Dermatology
• Molecular Biology
• Immunology

Background:

• Psoriasis and eczema are complex inflammatory skin diseases with overlapping phenotypes, complicating accurate diagnosis and treatment prediction.
• Novel targeted therapies are emerging, necessitating precise diagnostic tools for effective patient management.

Purpose of the Study:

• To develop and validate a robust molecular classifier (MC) for distinguishing between psoriasis and eczema.
• To assess the diagnostic accuracy of the MC in various clinical presentations, including indistinct variants.

Main Methods:

• A molecular classifier (MC) was developed using NOS2 and CCL27 gene expression.
• The MC was tested on a cohort of 129 patients with classical, subtype, and indistinct forms of psoriasis and eczema.
• Diagnostic performance was also evaluated using immunofluorescence staining for iNOS and CCL27 proteins.

Main Results:

• The NOS2 and CCL27-based MC achieved >95% sensitivity and specificity in diagnosing psoriasis and eczema.
• Gene expression correlated antagonistically with clinical and histological features, confirming biological relevance.
• Immunofluorescence staining showed >88% accuracy, demonstrating transferability of the MC.

Conclusions:

• The novel molecular classifier demonstrates superior diagnostic performance compared to current methods for differentiating psoriasis and eczema.
• This MC can form the basis for molecular diagnostics in chronic inflammatory skin diseases, enabling personalized treatment strategies.