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Abstract Number: 808

Biomarkers of Disease Activity in Vasculitis  

Alicia Rodriguez-Pla1, Roscoe L. Warner2, David Cuthbertson3, Simon Carette4, Gary S. Hoffman5, Nader A. Khalidi6, Curry L Koening7, Carol A. Langford8, Kathleen Maksimowicz-McKinnon9, Larry W. Moreland10, Christian Pagnoux4, Philip Seo11, Ulrich Specks12,13, Kenneth J. Warrington14, Steven R. Ytterberg15, Peter A. Merkel16, Kent J. Johnson2, Paul A. Monach17 and For the Vasculitis Research Consortium18, 1Rheumatology, Boston University, Boston, MA, 2Pathology, University of Michigan, Ann Arbor, MI, 3Department of Biostatistics, University of South Florida, Tampa, FL, 4Division of Rheumatology, University of Toronto, Toronto, ON, Canada, 5Center for Vasculitis Care and Research, Cleveland Clinic Foundation, Cleveland, OH, 6Internal Medicine/Rheumatology, McMaster University, Hamilton, ON, Canada, 7Division of rheumatology, George E. Wahlen Department of Veterans Affairs Medical Center Salt Lake City and University of Utah, University of Utah School of Medicine, Salt Lake City, UT, 8Center for Vasculitis Care and Research, Cleveland Clinic, Cleveland, OH, 9Rheumatology, Henry Ford Hospital, Detroit, MI, 10Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, 11Rheumatology Division, Johns Hopkins Vasculitis Center, Johns Hopkins University, Baltimore, MD, 12Frederichs Dr NW, Mayo Clinic, Rochester, MN, 13Mayo Clinic, Rochester, MN, 14Division of Rheumatology, Mayo Clinic, Rochester, MN, 15Rheumatology Division, Mayo Clinic, Rochester, MN, 16University of Pennsylvania, Philadelphia, PA, 17Section of Rheumatology, Vasculitis Center, Boston University School of Medicine, Boston, MA, 18U Pennsylvania, Philadelphia, PA

Meeting: 2014 ACR/ARHP Annual Meeting

Keywords: Biomarkers, giant cell arteritis, polyarteritis nodosa and vasculitis, Takayasu.s arteritis

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Session Information

Title: Vasculitis

Session Type: Abstract Submissions (ACR)

Background/Purpose

To identify circulating proteins that distinguish between active vasculitis and remission in giant cell arteritis (GCA), Takayasu’s  arteritis (TAK), polyarteritis nodosa (PAN) and eosinophilic granulomatosis with polyangiitis (EGPA, Churg-Strauss), using a panel of markers known to be elevated in ANCA-associated vasculitis. 

Methods

22 serum proteins (MMP-3, NGAL, ACE, sIL-6R, osteopontin, PAI-1, PDGF-AB, RANTES, sICAM-1, TIMP-1, BCA-1, G-CSF, GM-CSF, IFNγ, IL-15, IL-18, IL-18BPa, sIL-2Ra, IL-6, IL-8, IP-10, and sTNFRII) linked to possible pathways relevant to vasculitis were measured using a microarray platform. Disease activity during the past 28 days was classified by physician global assessment (PGA), where remission is indicated by PGA=0 and active disease by PGA 1-10. Spearman’s correlation was used to study the association between serum proteins and ESR. To compare marker values between active disease and remission, mixed models were used to account for repeated measures with unequal spacing between visits. Prednisone and immunosuppressive treatments were included as independent variables. Fold-change (FC) in marker values between active and mean remission values was used as the measure of effect.

Results

479 samples from 174 patients (66 GCA, 35 TAK, 31 PAN, 42 EGPA, with 1 active visit and 1-3 remission visit samples per patient) were tested. 440 samples (92%) were obtained while the patient was on treatment. Disease activity ranged from PGA 1 to 9. In GCA, sIL-6R (FC 1.1, p=0.024), BCA-1 (FC 2.08, p=0.008), GM-CSF (FC 32.5, p=0.04; 7 patients with FC>2), IL-18BPa (FC 1.16, p=0.026), sIL-2Ra  (FC 2.03, p=0.018), IL-6 (FC 2.54, p=0.032), and TIMP-1 (FC 1.18, p=0.034) were significantly higher in active than remission samples; in TAK, only IL-18BPa was higher in active than in remission samples (FC 1.16, p=0.029); and in PAN, only MMP-3 was significantly different, being higher in remission samples (FC 0.71, p=0.045). ESR was significantly elevated in active GCA (FC 1.43, p=0.001) and PAN (FC 1.45, p=0.013), and no differences were observed in TAK or EGPA. The correlation of ESR with the majority of the protein markers was weak; the highest correlation was observed in GCA with IL-6 (r=0.34, p<0.0001). FC and p-values were similar when use of prednisone and other immune-suppressive drugs were included in the models. The majority of the samples were obtained while the patients were on prednisone (81.2% of the active and 79.1% of the remission samples). Trajectories of selected markers are shown in Figure 1.

Conclusion  

This study identifies several potential biomarkers of disease activity in GCA, although effect sizes were modest in this partially-treated cohort.  Promising markers included several cytokines (IL-6, GM-CSF, BCA-1), soluble cytokine receptors (sIL-6R, IL-18BPa), and the metalloproteinase inhibitor TIMP-1. Larger studies are needed to test the utility of these biomarkers for disease monitoring.


Disclosure:

A. Rodriguez-Pla,
None;

R. L. Warner,
None;

D. Cuthbertson,
None;

S. Carette,
None;

G. S. Hoffman,

Roche Pharmaceuticals,

9;

N. A. Khalidi,
None;

C. L. Koening,
None;

C. A. Langford,
None;

K. Maksimowicz-McKinnon,
None;

L. W. Moreland,
None;

C. Pagnoux,
None;

P. Seo,
None;

U. Specks,
None;

K. J. Warrington,
None;

S. R. Ytterberg,
None;

P. A. Merkel,

Genentech and Biogen IDEC Inc.,

2,

Bristol-Myers Squibb,

2,

GlaxoSmithKline,

2,

Actelion Pharmaceuticals US,

2,

Actelion Pharmaceuticals US,

5,

Sanofi-Aventis Pharmaceutical,

5,

Chemocentryx,

5;

K. J. Johnson,
None;

P. A. Monach,
None;

F. the Vasculitis Research Consortium,
None.

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