Development of Predictive Psoriasis Response Endotypes Using Single Cell Transcriptomics

Psoriasis is a chronic systemic skin disease in which pro-inflammatory molecules contribute to the development of scaled inflamed skin and other disease-associated comorbidities such as increased risk of depression, heart attack, stroke, and metabolic syndrome. Some lesion-derived cytokines/chemokines are released into systemic circulation and increase lesional severity. Given their importance in the pathogenesis of psoriasis, the interleukins 12 (IL-12) and 23 (IL-23) are significant targets of biologic therapies. Importantly, psoriasis patients exhibit variable responses to treatments targeting interleukins; one size does not fit all for these therapeutics. Our preliminary data demonstrates individual skin improvement (Responders) as well as lack of skin improvement (Non-Responders) in patients treated with monoclonal antibody therapy specifically targeting the shared (p40) subunit common to IL-12 and IL-23 (ustekinumab/Stelara). Interestingly, some Non-Responders to ustekinumab respond well to inhibition of the IL-23 pathway via the unique p19 subunit. We hypothesize that the pattern of differentially expressed genes (DEGs) among Responders and Non-Responders following anti-IL-12 and anti-IL-23 therapy may enable us to predict the likelihood of patient response to p40 antagonism as well as antagonism of the p19 subunit of IL-23. Single cell transcriptome analysis will be used to generate gene expression patterns that identify variable patient response patterns (endotypes).