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Biomedicines
By María Pilar Toussaint-Padilla, Sherine Gabriel, Timothy L. Karr and 4 others.
Detangling the rheumatoid arthritis (RA) proteomic profile is of interest to improve diagnosis, RA subclassifications, and targeted treatment. We aimed at identifying serum proteins as candidate biomarkers for RA.
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This case-control study included participants with RA and healthy controls (HCs) paired by gender; clinical information and proteomic profiles were analyzed for the identification of candidate protein biomarkers. A statistical analysis included logistic regression and ROC curves for AUC measurement.
Following the screening of 176 patients, 25 RA and 25 HC patients were included in this study. The average age was 51 ± 12 years, and 90% were females. Notably, we identified five serum protein candidate biomarkers with differential expression when comparing RA to HC, consisting of testis-expressed protein 13B (p = 6.31 × 10−4), keratin type II cytoskeletal 79 (p = 1.317 × 10−4), 60 kDa heat shock protein (p = 7.594 × 10−4), pseudo uridylate synthase 7 homolog (p = 8.332 × 10−3), and SUN domain-containing protein 3 (p = 1.883 × 10−7). The first four proteins were predominantly observed in patients with RA, while the last was predominantly identified in the HCs.
A distinctive serum candidate biomarker profile consistent in five proteins was identified for RA, suggesting a unique stress-related, inflammatory signature. Collectively, the profile exhibits potential, but our findings must be validated in larger cohort studies, preferably in the context of undifferentiated arthritis before a definitive model for diagnosis is established.
Published in Biomedicines. The abstract is shown as published and remains the work of its authors; read the full article at the source.
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