Evidence map›Paper›PMID 27930731›Full record

ArticlePloS one2016

Serum Autoantibody Profiling of Patients with Paraneoplastic and Non-Paraneoplastic Autoimmune Retinopathy.

Josianne C Ten Berge, Joost van Rosmalen, Jacolien Vermeer, Cecilia Hellström, Cecilia Lindskog, Peter Nilsson, Ulrika Qundos, Aniki Rothova, Marco W J Schreurs

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 12% 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.

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

18 citing papers in PubMed, 39 citations in OpenAlex.

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  7. Comparison of clinical characteristics in patients with acute zonal occult outer retinopathy according to anti-retinal antibody status.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021
    Observational
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  14. Comparison of clinical characteristics in patients with Vogt-Koyanagi-Harada disease with and without anti-retinal antibodies.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2019
    Observational
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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 3 institutions in 2 countries.

Josianne C Ten BergeDepartment of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-4610-4991
Joost van RosmalenDepartment of Biostatistics, Erasmus University Medical Center, Rotterdam, The Netherlands.
Jacolien VermeerDepartment of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Cecilia HellströmAffinity Proteomics, SciLifeLab, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden.
Cecilia LindskogSciLifeLab, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Peter NilssonAffinity Proteomics, SciLifeLab, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden.
Ulrika QundosAffinity Proteomics, SciLifeLab, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden.
Aniki RothovaDepartment of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Marco W J SchreursDepartment of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Erasmus MC · NLScience for Life Laboratory · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough multiple serum antiretinal autoantibodies (ARAs) have been reported in patients with paraneoplastic and non-paraneoplastic autoimmune retinopathy ((n)pAIR), not all retinal antigens involved in (n)pAIR are specified. This study aims to serologically identify patients with presumed (n)pAIR through determination of both known and unknown ARAs by autoantibody profiling.

methodsAn antigen suspension bead array using 188 different antigens representing 97 ocular proteins was performed to detect ARAs in serum samples of patients with presumed (n)pAIR (n = 24), uveitis (n = 151) and cataract (n = 21). Logistic regressions were used to estimate the associations between ocular antigens and diagnosis. Validation of interphotoreceptor matrix proteoglycan 2 (IMPG2) and recoverin antigens was performed by immunohistochemistry and immunoblot, respectively.

resultsSamples of patients with presumed (n)pAIR exhibited a broad spectrum of ARAs. We identified retinal antigens that have already been described previously (e.g. recoverin), but also identified novel ARA targets. Most ARAs were not specific for (n)pAIR since their presence was also observed in patients with cataract or uveitis. High titers of autoantibodies directed against photoreceptor-specific nuclear receptor and retinol-binding protein 3 were more common in patients with presumed (n)pAIR compared to uveitis (p = 0.015 and p = 0.018, respectively). The presence of all other ARAs did not significantly differ between groups. In patients with presumed (n)pAIR, anti-recoverin autoantibodies were the most prevalent ARAs. Validation of bead array results by immunohistochemistry (anti-IMPG2) and immunoblot (anti-recoverin) showed concordant results in (n)pAIR patients.

conclusionsPatients with (n)pAIR are characterized by the presence of a broad spectrum of ARAs. The diagnosis of (n)pAIR cannot be based on the mere presence of serum ARAs, as these are also commonly present in uveitis as well as in age-related cataract patients.

Indexed as

AutoantibodiesAutoimmune DiseasesHumansParaneoplastic SyndromesRetinal DiseasesAutoantibodies

Identifiers

PMID27930731
PMCPMC5145218
OpenAlexW2559880627

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.