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Abstract Number: 1950

Anti-Signal Recognition Particle Autoantibody ELISA Development and Validation: Utility in Patients with Necrotizing Myopathy

Rohit Aggarwal1, Chester V. Oddis2, Danielle Goudeau3, Chad Stephans4, Noreen Fertig5, Qi Zengbiao6, Diane Koontz6 and Marc C. Levesque3, 1Rheumtology, University of Pittsburgh, Pittsburgh, PA, 2Rheum/Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, 3Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, 4Rheumatology, University of Pittsburgh, Pittsburgh, PA, 5University of Pittsburgh, Pittsburgh, PA, 6Department of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA

Meeting: 2012 ACR/ARHP Annual Meeting

Keywords: Autoantibodies and myositis

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Session Information

Title: Muscle Biology, Myositis and Myopathies: Genetics, Autoantibodies and other Molecular Aspects of Idiopathic Inflammatory Myopathies and Models

Session Type: Abstract Submissions (ACR)

Background/Purpose: Anti-signal recognition particle (SRP) autoAb identifies a myositis subset with a necrotizing myopathy and poor prognosis. Currently, immunoprecipitation (IP) is used to identify anti-SRP. Our aim was to develop and validate a quantitative anti-SRP ELISA to streamline anti-SRP detection.

Methods:   The anti-SRP ELISA utilized recombinant purified full length human SRP54 (Diarect AG product number 18401) coated on a high-binding ELISA plate (Costar, Corning, NY).  Patient (pt) serum (dilution ≥1:100) was incubated with ELISA plates and a horseradish peroxidase conjugated secondary antibody that binds human IgG quantified anti-SRP binding.  Units/ml of anti-SRP were determined using a standard serum sample. Values below the detection range (<4 U/ml) were considered (-) and assigned a value = 2. Values >128 U/ml were assigned a value = 128.  Assay validation utilized lP as the gold standard. The following test characteristics were evaluated: sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, ROC curve and sensitivity analysis, and area under the curve (AUC).  Mann-Whitney tests compared anti-SRP levels and kappa statistics tested agreement between ELISA and IP. Controls included a) anti-SRP (+) and (-) myositis pts by IP, b) scleroderma (SSc) and lupus pts, and c) other SRP (-) necrotizing myopathy pts.  Serial samples from 7 SRP (+) pts by IP were also tested.

Results:   We identified 26 SRP (+) myositis pts by IP. 77 SRP (-) myositis pts by IP were evaluated as controls (including 37 pts with necrotizing myopathy).  Non-myositis control pts included SLE (n=4) and SSc (n=7). Anti-SRP positivity by ELISA correlated with IP results (p<0.001) with strong agreement between both methods (kappa 0.94).  Median (IQR) anti-SRP levels in pts with (+) and (-) anti-SRP by IP was 113.3 (15.6-128) and 2 (2-2) units/ml, respectively (p<0.001).  The sensitivity, specificity, PPV, NPV and accuracy of the ELISA was 88%, 100%, 100%, 96% and 97%, respectively. The AUC of a ROC curve was 0.94. Serial samples showed that anti-SRP levels decreased consistent with clinical improvement in 3 pts, were unchanged at low levels in 2 pts with stable disease, and increased in 1 pt with a myositis flare. Inter-assay coefficient of variance (CV) was 23%.

Conclusion: We developed a quantitative ELISA for anti-SRP autoAbs, validating the assay in myositis and other rheumatic disease pts including a group of SRP (-) necrotizing myopathy pts. The ELISA is simple to perform, sensitive and highly specific. The availability of a validated, quantitative, easy to perform ELISA should improve anti-SRP autoAb detection in myositis pts facilitating early identification of pts with a refractory necrotizing myopathy necessitating aggressive therapy.

 

Figure 1: Anti-SRP antibody ELISA levels in different myositis subsets

 


Disclosure:

R. Aggarwal,
None;

C. V. Oddis,

Genentech and Biogen IDEC Inc.,

9;

D. Goudeau,
None;

C. Stephans,
None;

N. Fertig,
None;

Q. Zengbiao,
None;

D. Koontz,
None;

M. C. Levesque,
None.

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