Spondyloarthritis & psoriatic arthritis
Quantitative proteomic screening uncovers candidate diagnostic and monitoring serum biomarkers of ankylosing spondylitis
Authors' conclusion
We identified multiple candidate AS diagnostic and disease activity monitoring serum biomarkers using a comprehensive proteomic screen. Enrichment analysis identified key pathways in AS diagnosis and monitoring. Lasso regression identified a multi-protein panel with modest predictive ability.
Study context
- Population
- Biologic-treatment-naïve ankylosing spondylitis (AS) patients and healthy control (HC)
- Participants
- 80 serum samples
- Comparison
- AS vs HC; high vs low disease activity
- Outcome
- Differentially expressed serum proteins for AS diagnosis (AS vs HC) and disease activity monitoring (high vs low)
Methodological detailsproteomic screen (SOMAscan aptamer-based platform), matched by age, gender and race (1:1:1), Lasso regression
- Proteomic screen (SOMAscan aptamer-based platform)
- Matched by age, gender and race (1:1:1)
- Lasso regression
Performance
As reported in the abstract
- Proteins detected
- 1317
- Diagnosis differentially expressed proteins (DEPs) (FDR q < .05: 317)
- 367
- Monitoring DEPs (FDR q < .05: 59)
- 167
- 13-protein model sensitivity
- 0.75
- 13-protein model specificity
- 0.90
- 13-protein model kappa
- 0.59
- 13-protein model overall accuracy
- 0.80 (95% CI 0.61-0.92)
- AS vs HC ROC
- 0.79 (95% CI 0.61-0.96)
Further findings
Top PPI clusters (Molecular Complex Detection (MCODE)) and Ingenuity Pathway Analysis (IPA) upstream regulators
- Top 3 diagnosis clusters: complement, IL-10 signaling, immune/IL signaling
- Top 3 monitoring clusters: complement, extracellular matrix organization/proteoglycans, MAPK/RAS signaling
- Predicted upstream regulators: IL-23/17, TNF, cGAS-STING and Jak/Stat signaling
Original publication
Quantitative proteomic screening uncovers candidate diagnostic and monitoring serum biomarkers of ankylosing spondylitis. Arthritis Res Ther. Published 11 April 2023. doi:10.
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