Objectives
To define imaging sub-phenotypes in patients with psoriatic arthritis (PsA); determine their association with whole blood gene expression, and identify biological pathways characterizing the sub-phenotypes.
Methods
55 patients with PsA ready to initiate treatment for active disease were prospectively recruited. We performed musculoskeletal ultrasound assessment of the extent of inflammation in the following domains: synovitis, peritenonitis, tenosynovitis, and enthesitis. Peripheral whole blood was profiled with RNAseq, and gene expression data were obtained. First, unsupervised cluster analysis was performed to define imaging sub-phenotypes that reflected the predominant tissue involved. Subsequently, principal component analysis was used to determine the association between imaging-defined sub-phenotypes and peripheral blood gene expression profile. Pathway enrichment analysis was performed to identify underlying mechanisms that characterize individual sub-phenotypes.
Results
Cluster analysis revealed three imaging sub-phenotypes: 1) Synovitis predominant (N = 31 [56%]); 2) Enthesitis predominant (N = 13 [24%]); 3) Peritenonitis predominant (N = 11 [20%]). The peritenonitis-predominant sub-phenotype had the most severe clinical joint involvement whereas the enthesitis-predominant sub-phenotype had the highest tender entheseal count. Unsupervised clustering of gene expression data identified three sub-phenotypes that partially overlapped with the imaging sub-phenotypes suggesting biological and clinical relevance of these sub-phenotypes. We therefore characterized enriched differential pathways, which included: immune system (innate system, B cells and neutrophil degranulation), complement system, platelet activation and coagulation function.
Conclusions
We identified three sub-phenotypes based on the predominant tissue involved in patients with active PsA. Distinct biological pathways may underlie these imaging sub-phenotypes seen in PsA, suggesting their biological and clinical importance.