Development of Predictive Psoriasis Response Endotypes Using Single Cell Transcriptomics in Ustekinumab Responders Versus Non-responders
The investigators propose to improve the possibility of reaching skin resolution by identifying certain markers or gene patterns that may predict patient response to certain psoriasis drugs ahead of time, thus eliminating or reducing the trial-and-error approach often employed. The ability to rule out (or in) specific therapeutics based on predictive efficacy would lead to a more personalized approach for psoriasis treatment. To do this, the investigators will be asking participants to try two different already on the market FDA-approved psoriasis drugs for 8 weeks at a time. The investigators will be monitoring participants skin for improvements as well as taking blood and skin samples at least three times. Investigators may also ask to take stool samples and/or skin swabs.
• Diagnosed with plaque-type psoriasis defined by either:
‣ A board-certified dermatologist, OR
⁃ Dermatology Nurse Practitioner, OR
⁃ Skin punch biopsy
• Insurance that includes an anti-p40 biologic (ustekinumab/.Stelara) and at least one anti-p19 biologic (guselkumab/Tremfya or risankizumab/Skyrizi)
• Must be naive to ustekinumab, guselkumab, and risankizumab.
• Involvement of body surface area (BSA) of at least 10% at screening and baseline visit.
• Able to give informed consent under IRB approval procedures