Molecular Signatures in Inflammatory Skin Disease — MSID  

Psoriasis Clinical Trial

Official title: Systematic Profiling of Anti-cytokine Signatures in the Treatment of Chronic Inflammatory Skin Disorders

Status Recruiting

Clinical Trial Summary

This pilot project intends to examine the utility of a systems medicine approach to identify regulatory networks and their perturbation in psoriasis and atopic dermatitis, and to obtain a comprehensive perspective on disease and disease control by integrating and modelling data across multiple cellular levels and time following specific blockade of single pathophysiological factors through use of licensed biologics during routine care as systems biology challenge. To this end, ultra-deep phenotyping and prospective molecular characterization in short time-intervals and different disease equilibrium states will be carried out in targeted small sets of patients. The different layers and types of clinical and molecular information will then be integrated (integrative personal omics profiling iPOP) for generating insights into disease pathways and for extraction of molecular signatures that correspond to clinical severity scores. It will provide a good starting point for planning future trials aimed at identifying biological patterns useful for guiding targeted treatment.

Clinical Trial Description

This is an exploratory study with the aim to identify molecular profiles and signatures in skin and blood that correlate with inflammatory skin disease, disease activity and disease progression, and that are associated with possible disease subtypes/endotypes. Primary target variables are differentially expressed genes (alone or in combination), secondary target variables are genetic, immunological and microbiological signatures. Influencing variables of interest include age of manifestation, disease duration, disease activity/severity, disease progression, comorbidities and therapy/treatment. Obtained biomaterial will be used for molecular profiling including DNA/RNA sequencing, ELISA, mass spectrometry, flow cytometry to identify markers and/or signatures that can correlate with individual disease courses. ;

Related Conditions & MeSH terms

• Atopic Dermatitis
• Dermatitis
• Psoriasis

• NCT number: NCT03358693
• Study type: Observational
• Source: University Hospital Schleswig-Holstein
• Contact: Stephan Weidinger, MD
• Phone: 004943150021101
• Email: sweidinger@dermatology.uni-kiel.de
• Status: Recruiting
• Start date: January 20, 2017
• Completion date: December 31, 2028