Evidence map›Paper›PMID 29894483›Full record

ArticlePloS one2018

Immunoproteomic identification of anti-C9 autoimmune antibody in patients with seronegative obstetric antiphospholipid syndrome.

Yoshimitsu Kuwabara, Akira Katayama, Sachiko Kurihara, Hideo Orimo, Toshiyuki Takeshita

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

5 authors at 1 institution in 1 country.

Yoshimitsu KuwabaraDepartment of Obstetrics and Gynecology, Nippon Medical School, Bunkyo-ku, Tokyo, Japan.ORCID 0000-0002-1622-4063
Akira KatayamaDepartment of Molecular Biology and Biochemistry, Nippon Medical School, Bunkyo-ku, Tokyo, Japan.
Sachiko KuriharaDepartment of Obstetrics and Gynecology, Nippon Medical School, Bunkyo-ku, Tokyo, Japan.
Hideo OrimoDepartment of Molecular Biology and Biochemistry, Nippon Medical School, Bunkyo-ku, Tokyo, Japan.
Toshiyuki TakeshitaDepartment of Obstetrics and Gynecology, Nippon Medical School, Bunkyo-ku, Tokyo, Japan.
Nippon Medical School · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunoproteomic analysis was performed to identify unknown, pathology-related molecules in patients with seronegative (SN) obstetric antiphospholipid syndrome (APS) who clinically satisfied the diagnostic criteria for APS, but not the serological criteria. We collected peripheral blood from 13 SN-APS outpatients with known thrombotic predisposition, 13 with no known thrombotic predisposition, and four multiparous women with no history of miscarriage (control). Plasma proteins from volunteers were purified and used as plasma protein antigens. Two-dimensional immunoblotting was performed using pooled control or SN-APS serum samples as the primary antibodies. Mass spectrometry of reactive spots specific to SN-APS serum led to the identification of complement molecule C9. Western blotting using commercial purified alkylated C9 was performed to detect autoantibodies. Examination of individual patient serum identified reactivity in one patient with, and in two patients without known thrombotic predisposition. This study suggests that SN-APS pathologies were associated with autoantibodies that react to specific C9 epitopes.

Indexed as

AdultAntiphospholipid SyndromeAutoantibodiesBiomarkersComplement C9Electrophoresis, Gel, Two-DimensionalEpitopesFemaleHumansMaleMass SpectrometryProteomicsAutoantibodiesBiomarkersComplement C9Epitopes

Identifiers

PMID29894483
PMCPMC5997311
OpenAlexW2807806308

What OpenQuestion holds

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LicenceCC BY
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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.