Association of Plasma CCDC88A Expression Combined with Erythrocyte Sedimentation Rate with Rheumatoid Arthritis Disease Activity: A Cross-Sectional Exploratory Study
Year: 2026
Type: article
Study design: Observational Study
Abstract: Background: Rheumatoid arthritis (RA) disease activity is assessed using composite clinical indices that combine examination findings, patient and physician‒reported assessments, and laboratory markers. Circulating RNA may provide complementary molecular information, but evidence for plasma RNA markers of current RA activity remains limited. Purpose: To identify plasma RNA transcripts associated with cross-sectional RA disease activity and to explore whether plasma RNAs concentration provides complementary discriminatory information when combined with hematological parameters. Patients and Methods: This cross-sectional, two-stage study used targeted RNA sequencing to screen plasma from 25 patients with established RA and 14 healthy controls (HCs). Patients with RA were categorized as having high disease activity (HDA; DAS28-ESR > 5.1, n=13) or low disease activity/remission (LDA/remission; DAS28-ESR ≤ 3.2, n=12). The expression of the leading candidate, CCDC88A , was assessed by quantitative real-time polymerase chain reaction (qPCR) in 108 plasma samples, including 78 patients with RA and 30 HCs. Results: Plasma CCDC88A expression was lower in patients with RA than in HCs (median [interquartile range], 0.55 [0.29– 0.81] vs 0.94 [0.59– 1.12]; p=0.003). For cross-sectional discrimination between moderate activity and LDA/remission, the area under the curve (AUC) was 0.659 for CCDC88A , 0.746 for erythrocyte sedimentation rate (ESR), and 0.785 for their combination. Conclusion: Molecular markers, when combined with peripheral blood-derived parameters, such as ESR, may potentially serve as supporting indicators of RA disease activity. Keywords: biomarkers, CCDC88A , circRNA, rheumatoid arthritis, RNA-seq
Source: Journal of Inflammation Research
DOI: 10.2147/jir.s626938
Institution: University of Rzeszów
Language: English
Subfield: Rheumatology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,836
OpenAlex ID: W7223290300
