Molecular analysis of inflammatory diseases.

Area of Science:

• Dermatology
• Genetics
• Bioinformatics

Background:

• Inflammatory diseases, particularly autoinflammatory skin conditions like PAPA syndrome (PASH) and pyoderma gangrenosum (PAPASH), present complex pathogenetic mechanisms.
• Existing research has identified genetic variations but lacked insight into common molecular pathways shared by PASH and PAPASH patients.
• Next-generation sequencing (NGS) technologies offer powerful tools for exploring the 'OMICs' data landscape in disease research.

Purpose of the Study:

• To identify common molecular pathways underlying PASH and PAPASH by integrating multi-'OMICs' data.
• To address the knowledge gap regarding the shared molecular basis of these autoinflammatory skin diseases.
• To showcase the utility of an integrated 'OMICs' approach and a novel bioinformatics platform (PlatOMICs) in disease research.

Main Methods:

• Pathway-based whole-exome sequencing analysis was employed to compare PASH and PAPASH patient data.
• An integrated 'OMICs' approach was utilized to analyze and synthesize findings.
• A novel bioinformatics platform, PlatOMICs, was introduced for integrating experimental and public repository data.

Main Results:

• Four key pathways were identified as commonly disrupted in both PASH and PAPASH patients: keratinization, formation of the cornified envelope, steroid metabolism, and Vitamin D metabolism.
• The study highlights specific genetic variations associated with these conditions.
• The PlatOMICs platform demonstrated its capability to integrate diverse 'OMICs' data for pathway discovery.

Conclusions:

• The integrated 'OMICs' approach successfully identified shared molecular pathways in PASH and PAPASH, offering a deeper understanding of their pathogenesis.
• The findings provide a foundation for developing targeted therapies for these autoinflammatory skin diseases.
• The PlatOMICs platform represents a valuable tool for researchers and clinicians in uncovering disease-specific molecular pathways.