Network Analysis of Autoimmune Diseases — Part 1

Autoimmune diseases such as Psoriasis, Rheumatoid Arthritis, and Multiple Sclerosis share common genetic and molecular pathways, which can offer insights into their origins, treatment options, and potential drug targets. By leveraging network medicine and graph analysis, we can identify shared targets between these diseases to develop efficient therapies and uncover disease mechanisms. For autoimmune diseases, which are often interrelated, shared molecular targets provide opportunities to treat multiple conditions using similar therapeutic strategies. Using Network medicine we can identify diseases by disruptions within a biological network of genes, proteins, and molecules and analyzing these relationships, we can:

• Identify pathways common to multiple diseases.
• Pinpoint targets for drug repurposing or novel drug discovery.
• Improve precision medicine approaches.

Psoriasis is a chronic autoimmune disease that primarily affects the skin but also has systemic impacts. It shares molecular pathways with diseases like Rheumatoid Arthritis, Lupus Erythematosus , Atopic Eczema.

We utilized protein-protein interaction (PPI) data from STRING and extracted disease-gene relationships from the Therapeutic Target Database (TTD). Recognizing that both databases are incomplete and may lack comprehensive associations, we carefully filtered and integrated the data to ensure consistency. The analysis focuses on a curated list of autoimmune…