Evidence map›Paper›PMID 33913080›Full record

Observational studyImmunologic research2021

Evaluation of a novel particle-based multi-analyte technology for the detection of anti-fibrillarin antibodies.

Michael Mahler, Grace Kim, Fabrece Roup, Chelsea Bentow, Nicole Fabien, David Goncalves, Boaz Palterer, Marvin J Fritzler, Danilo Villalta

Erratum issuedAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Immunologic research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Biomarkers in Systemic Sclerosis: An Overview.Current issues in molecular biology · 2023
    Review
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Michael MahlerResearch and Development, Inova Diagnostics, San Diego, CA, 92131, USA.
Grace KimResearch and Development, Inova Diagnostics, San Diego, CA, 92131, USA.
Fabrece RoupResearch and Development, Inova Diagnostics, San Diego, CA, 92131, USA. froup@inovadx.com.
Chelsea BentowResearch and Development, Inova Diagnostics, San Diego, CA, 92131, USA.
Nicole FabienImmunology Department, Lyon-Sud Hospital, Hospices Civils de Lyon, Claude Bernard, Pierre-Benite, France.
David GoncalvesImmunology Department, Lyon-Sud Hospital, Hospices Civils de Lyon, Claude Bernard, Pierre-Benite, France.
Boaz PaltererDepartment of Clinical and Experimental Medicine, Unit of Allergology and Clinical Immunology, University of Florence, Florence, Italy.
Marvin J FritzlerDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N4N1, Canada.
Danilo VillaltaImmunologia E Allergologia, Ospedale S. Maria degli Angeli, Pordenone, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic sclerosis (SSc) is a heterogeneous autoimmune disease associated with several anti-nuclear antibodies (ANA), including those in the classification criteria (anti-centromere, anti-topoisomerase I (Scl-70), anti-RNA Pol III). However, the presence of less common antibodies such as anti-fibrillarin (U3-RNP) that generate a clumpy nucleolar pattern by HEp-2 indirect immunofluorescence assay (IFA, ICAP AC-9) are considered disease specific and are with clinical subsets of SSc, therefore playing a role in diagnosis and prognosis. A specific and sensitive anti-fibrillarin assay would be an important addition to serological diagnosis and evaluation of SSc. The goal of this study was to evaluate a new particle-based multi-analyte technology (PMAT) for the measurement of anti-fibrillarin antibodies. A total of 149 patient samples were collected including 47 samples from France (Lyon and Paris, n = 32) and Italy (Careggi Hospital, Florence, n = 15) selected based on AC-9 HEp-2 IFA staining (> 1:640, clumpy nucleolar pattern) and 102 non-SSc controls (inflammatory bowel disease (IBD) n = 20, Sjögren's syndrome (SjS) n = 20, infectious disease (ID) n = 7, systemic lupus erythematosus (SLE) n = 17, rheumatoid arthritis (RA) n = 17, and healthy individuals (HI) n = 21). All samples were tested on the anti-fibrillarin PMAT assay (research use only, Inova Diagnostics, USA). Additionally, the 47 anti-fibrillarin positive samples were also tested on PMAT assays for detecting other autoantibodies in ANA-associated rheumatic diseases (AARD). Anti-fibrillarin antibody data performed by fluorescence enzyme immunoassay (FEIA, Thermo Fisher, Germany) was available for 34 samples. The anti-fibrillarin PMAT assay was positive in 31/32 (96.9%, France) and 12/15 (80.0%, Italy) of samples preselected based on the AC-9 IIF pattern (difference p = 0.09). Collectively, the PMAT assay showed 91.5% (95% confidence interval (CI): 80.1-96.6%) sensitivity with 100.0% (95% CI: 96.4-100.0%) specificity in non-SSc controls. Strong agreement was found between PMAT and FEIA with 100.0% positive qualitative agreement (34/34) and quantitative agreement (Spearman's rho = 0.89, 95% CI: 0.77.9-0.95%, p < 0.0001). Although most anti-fibrillarin positive samples were mono-specific (69.8%), some expressed additional antibodies (namely Scl-70, centromere, dsDNA, Ro52, Ro60, SS-B, Ribo-P, DFS70, and EJ). In conclusion, this first study on anti-fibrillarin antibodies measured using a novel PMAT assay shows promising results where the new PMAT assay had high level of agreement to FEIA for the detection of anti-fibrillarin antibodies. The availability of novel AFA assays such as PMAT might facilitate the clinical deployment, additional studies, standardization efforts, and potentially consideration of AFA for next generations of the classification criteria.

Indexed as

AdolescentAdultAgedAged, 80 and overAntibodies, AntinuclearCase-Control StudiesChildChromosomal Proteins, Non-HistoneDiagnosis, DifferentialFeasibility StudiesFemaleFluorescent Antibody Technique, IndirectHealthy VolunteersHumansMaleMiddle AgedAntibodies, AntinuclearChromosomal Proteins, Non-HistonefibrillarinReagent Kits, DiagnosticAutoantibodiesImmunoassayMulti-analyteSystemic sclerosis

Identifiers

PMID33913080
PMCPMC8266783

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Registered trials

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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.