Relationship between Serum Protein Pattern and High Disease Activity in Patients with Rheumatoid Arthritis

Pavel Horak¹, Anna Petráčková², Martina Skácelová³, Eva Kriegová⁴, Petra Schneiderová⁵ and František Mrázek⁵, ¹III. Department of internal medicine, III. Department of Internal Medicine, Faculty of Medicine and Dentistry, Palacký University of Olomouc, Olomouc, Czech Republic, ²Department of Immunology, Department of Immunology, Faculty of Medicine and Dentistry, Palacky University of Olomouc, Olomouc, Czech Republic, ³III. Department of Internal Medicine, Faculty of Medicine and Dentistry, Palacký University of Olomouc, Olomouc, Czech Republic, ⁴Department of Immunology,, Faculty of Medicine and Dentistry, Palacky University of Olomouc, Olomouc, Czech Republic, ⁵Department of Immunology, Faculty of Medicine and Dentistry, Palacky University of Olomouc, Olomouc, Czech Republic

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: Disease Activity, proteomics and rheumatoid arthritis (RA)

Session Information

Date: Monday, November 6, 2017

Title: Rheumatoid Arthritis – Clinical Aspects Poster II: Pathophysiology, Autoantibodies, and Disease Activity Measures

Session Type: ACR Poster Session B

Session Time: 9:00AM-11:00AM

Background/Purpose: Rheumatoid arthritis (RA) is a chronic autoimmune disease that primarily affects joints. There is still limited information of serum biomarkers suitable for effective monitoring of disease activity. To assess RA-associated serum protein signature using highly sensitive multiplex Proximity Extension ImmunoAssay (PEA) and its relationship with disease activity evaluated by activity score (DAS28).

Methods: We investigated the serum levels of 92 inflammation-related proteins in 78 Czech patients with RA and 38 age-matched healthy control (C) subjects using a highly sensitive innovative multiplex PEA (Proseek Multiplex, Olink Bioscience, Sweden). Statistical tests (Mann-Whitney U test, Benjamini-Hochberg correction, Spearman correlation) were performed using GenEx (Sweden), P-value ≤ 0.05 was considered as significant.

Results:

Top-ranked proteins distinguishing RA and C (P_corr<0.0001) were sTNFSF14, sulfotransferase 1A1, IL-6, axin 1, CCL7, caspase 8, oncostatin M, sirtuin 2, sTGFα, CCL3, sHGF, sCD40, STAMBP, FGF23, CXCL10, and sSLAMF1. Of them, upregulation of sulfotransferase 1A1, axin 1, and GDNF was not reported in RA yet. Disease activity positively correlated with CCL20 (r=0.495, P=0.000004), CCL7 (r=0.442, P=0.00005), CXCL1, CXCL9, IL-6, sCDCP1, GDNF, CXCL10 (r>0.30, P<0.006), and negatively correlated with IL-12B and sCD244 (r<-0.304, P<0.007). Subanalysis of protein pattern in patient phenotypes is ongoing.

Conclusion: Among the entire panel, the chemokines CCL20, CCL7, CXCL1, CXCL9, CXCL10 and GDNF appeared to be the most useful serum markers for evaluation of the disease activity of patients with RA. Further multivariate analysis is needed to identify pattern associated with high disease activity.

Acknowledgement: Grant support: MZ CR VES15-28659A, IGA_LF_2017_009

Disclosure: P. Horak, None; A. Petráčková, None; M. Skácelová, None; E. Kriegová, None; P. Schneiderová, None; F. Mrázek, None.

To cite this abstract in AMA style:

Horak P, Petráčková A, Skácelová M, Kriegová E, Schneiderová P, Mrázek F. Relationship between Serum Protein Pattern and High Disease Activity in Patients with Rheumatoid Arthritis [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/relationship-between-serum-protein-pattern-and-high-disease-activity-in-patients-with-rheumatoid-arthritis/. Accessed .

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