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Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
Published on: March 1, 2024
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Biomarker discovery in psoriatic disease
Darshini Ganatra1, Vinod Chandran1,2,3,4
1Gladman Krembil Psoriatic Arthritis Research Program, Schroeder Arthritis Institute, Krembil Research Institute.
Current Opinion in Rheumatology
|March 3, 2025
Summary
Recent biomarker research in psoriatic diseases (PsD), including psoriasis and psoriatic arthritis (PsA), shows promise for improved diagnosis and treatment. Further large-scale studies are needed to validate these findings and develop predictive algorithms for better patient management.
Area of Science:
- Dermatology and Rheumatology
- Biomarker Discovery
- Translational Medicine
Background:
- Psoriatic diseases (PsD), encompassing psoriasis and psoriatic arthritis (PsA), affect approximately 2% of the population.
- PsA is an inflammatory musculoskeletal disease associated with joint damage and disability in 25% of psoriasis patients.
- PsD are linked to other conditions like uveitis, inflammatory bowel disease, and cardiovascular disease, complicating diagnosis and treatment.
Purpose of the Study:
- To review recent biomarker research in psoriatic diseases (PsD).
- To highlight the potential of biomarkers for objective measurement of disease state, progress, and treatment outcomes.
- To discuss advancements in managing PsD through biomarker identification.
Main Methods:
- Categorization of diverse biomarker types including SNPs, mRNA, proteins, metabolites, and immune cell profiles using the FDA/NIH BEST resource.
- Focus on multiomic assays and advanced bioinformatic tools for disease management.
- Review of recent scientific literature on biomarker research in PsD.
Main Results:
- Diverse biomarkers (SNPs, mRNA, proteins, metabolites, immune cells) have been identified and categorized.
- Multiomic assays coupled with bioinformatic tools show potential for enhanced disease management.
- Recent research indicates promise in identifying biomarkers for PsA diagnosis, disease activity assessment, and treatment response prediction.
Conclusions:
- Biomarker research in psoriatic arthritis (PsA) shows potential for improved diagnosis and treatment prediction.
- Most current studies are in early discovery and verification phases.
- Large-scale studies are necessary to replicate findings and validate predictive algorithms for clinical application.
