Evidence map›Paper›PMID 25524922›Full record

ArticleRheumatology (Oxford, England)2015

Anti-signal recognition particle autoantibody ELISA validation and clinical associations.

Rohit Aggarwal, Chester V Oddis, Danielle Goudeau, Noreen Fertig, Ilinca Metes, Chad Stephens, Zengbiao Qi, Diane Koontz, Marc C Levesque

Registry-linked trialOpen access · bronzeAbstract readEvaluation StudyValidation Study
In one paragraph

Article in Rheumatology (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03414086 (Predictor of Clinical Response to Acthar in Myositis), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03414086 completednot on this mapstarted 2017, after this paper: background citation

Predictor of Clinical Response to Acthar in Myositis: Phase II of Acthar Clinical Trial

TypeobservationalSponsorUniversity of PittsburghRan2017 to 2022Enrolled20ConditionsMyositis, Dermatomyositis, PolymyositisArmsHealthy Control, Myositis in Remission
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Magnetic resonance imaging scoring system of the lower limbs in adult patients with suspected idiopathic inflammatory myopathy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Update on outcome assessment in myositis.Nature reviews. Rheumatology · 2018
    Review
  11. Bench to bedside review of myositis autoantibodies.Clinical and molecular allergy : CMA · 2018
    Review
  12. Review
  13. The Clinical Features of Myositis-Associated Autoantibodies: a Review.Clinical reviews in allergy & immunology · 2017
    Review
  14. Review
  15. Review
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Rohit AggarwalDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, USA aggarwalr@upmc.edu.
Chester V OddisDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, USA.
Danielle GoudeauDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, USA.
Noreen FertigDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, USA.
Ilinca MetesDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, USA.
Chad StephensDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, USA.
Zengbiao QiDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, USA.
Diane KoontzDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, USA.
Marc C LevesqueDepartment of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, USA.
University of Pittsburgh · US

Funding

Mechanisms of Response and Relapse in Rituximab-treated Myositis PatientsR01AR061298 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEVESQUE, MARC C., ODDIS, CHESTER V · 2010 to 2013
$1.2M
NIAMS NIH HHS 5R01AR061298NIAMS NIH HHS R01 AR061298
6 · The paper itself

Abstract

objectiveThe aim of this study was to develop and validate a quantitative anti-signal recognition particle (SRP) autoantibody serum ELISA in patients with myositis and longitudinal association with myositis disease activity.

methodsWe developed a serum ELISA using recombinant purified full-length human SRP coated on ELISA plates and a secondary antibody that bound human IgG to detect anti-SRP binding. Protein immunoprecipitation was used as the gold standard for the presence of anti-SRP. Serum samples from three groups were analysed: SRP(+) myositis subjects by immunoprecipitation, SRP(-) myositis subjects by immunoprecipitation and non-myositis controls. The ELISA's sensitivity, specificity, positive predictive value and negative predictive value were evaluated. Percentage agreement and test-retest reliability were assessed. Serial samples from seven SRP immunoprecipitation-positive subjects were also tested, along with serum muscle enzymes and manual muscle testing.

resultsUsing immunoprecipitation, we identified 26 SRP(+) myositis patients and 77 SRP(-) controls (including 38 patients with necrotizing myopathy). Non-myositis control patients included SLE (n = 4) and SSc (n = 7) patients. Anti-SRP positivity by ELISA showed strong agreement (97.1%) with immunoprecipitation (κ = 0.94). The sensitivity, specificity, positive predictive value, and negative predictive value of the anti-SRP ELISA were 88, 100, 100 and 96, respectively. The area under the curve was 0.94, and test-retest reliability was strong (r = 0.91, P < 0.001). Serial samples showed that anti-SRP levels paralleled changes in muscle enzymes and manual muscle testing.

conclusionWe developed a quantitative ELISA for detecting serum anti-SRP autoantibodies and validated the assay in myositis. Longitudinal assessment of SRP levels by ELISA may be a useful biomarker for disease activity.

Indexed as

Severity of Illness IndexAdultAutoantibodiesBiomarkersCase-Control StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansMaleMiddle AgedMuscle, SkeletalMyositisPredictive Value of TestsReproducibility of ResultsSensitivity and SpecificitySignal Recognition ParticleAutoantibodiesBiomarkersSignal Recognition Particleanti-signal recognition particle (SRP) autoantibodyELISAidiopathic inflammatory myopathyimmunoprecipitationquantitative measure

Identifiers

PMID25524922
PMCPMC4473763
OpenAlexW2159028220

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.