Evidence map›Paper›PMID 33208725›Full record

ArticleTranslational psychiatry2020

Exploring autoantibody signatures in brain tissue from patients with severe mental illness.

David Just, Anna Månberg, Nicholas Mitsios, Craig A Stockmeier, Grazyna Rajkowska, Mathias Uhlén, Jan Mulder, Lars Feuk, Janet L Cunningham, Peter Nilsson and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Psychiatric Symptoms in Wilson's Disease-Consequence ofInternational journal of molecular sciences · 2024
    Review
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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

11 authors at 4 institutions in 2 countries.

David JustDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.ORCID 0000-0001-6126-2256
Anna MånbergDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.ORCID 0000-0002-0056-1313
Nicholas MitsiosDepartment of Neuroscience, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0001-6243-4953
Craig A StockmeierDepartment of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA.ORCID 0000-0003-1861-1013
Grazyna RajkowskaDepartment of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA.ORCID 0000-0002-4348-4688
Mathias UhlénDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.
Jan MulderDepartment of Neuroscience, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0003-3717-5018
Lars FeukScience for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-2355-2919
Janet L CunninghamDepartment of Neuroscience, Psychiatry - Uppsala University, Uppsala, Sweden.ORCID 0000-0001-7876-7779
Peter NilssonDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden. peter.nilsson@scilifelab.se.ORCID 0000-0002-4657-8532
Eva Lindholm CarlströmScience for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden. eva.lindholm@igp.uu.se.ORCID 0000-0001-8055-7826
Uppsala University · SEScience for Life Laboratory · SEJackson Memorial Hospital · USKarolinska Institutet · SE

Funding

Role of obesity in preeclamptic pregnancy.P20GM121334 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI Babbette LaMarca, Jane F Reckelhoff · 2017 to 2026
$26.4M
A Natonal Resource for Postmortem Brain ResearchR24MH068855 · NIMH · MC LEAN HOSPITAL (BELMONT, MA) · PI BENES, FRANCINE M. · 2003 to 2012
$14.8M
Center for Psychiatric NeuroscienceP30GM103328 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI STOCKMEIER, CRAIG ALLEN · 2013 to 2017
$5.5M
NIGMS NIH HHS P20 GM121334NIGMS NIH HHS P30 GM103328NIMH NIH HHS R24 MH068855
6 · The paper itself

Abstract

In recent years, studies have shown higher prevalence of autoantibodies in patients with schizophrenia compared to healthy individuals. This study applies an untargeted and a targeted affinity proteomics approach to explore and characterize the autoantibody repertoire in brain tissues from 73 subjects diagnosed with schizophrenia and 52 control subjects with no psychiatric or neurological disorders. Selected brain tissue lysates were first explored for IgG reactivity on planar microarrays composed of 11,520 protein fragments representing 10,820 unique proteins. Based on these results of ours and other previous studies of autoantibodies related to psychosis, we selected 226 fragments with an average length of 80 amino acids, representing 127 unique proteins. Tissue-based analysis of IgG reactivities using antigen suspension bead arrays was performed in a multiplex and parallel fashion for all 125 subjects. Among the detected autoantigens, higher IgG reactivity in subjects with schizophrenia, as compared to psychiatrically healthy subjects, was found against the glutamate ionotropic receptor NMDA type subunit 2D (anti-GluN2D). In a separate cohort with serum samples from 395 young adults with a wider spectrum of psychiatric disorders, higher levels of serum autoantibodies targeting GluN2D were found when compared to 102 control individuals. By further validating GluN2D and additional potential autoantigens, we will seek insights into how these are associated with severe mental illnesses.

Indexed as

AutoantibodiesSchizophreniaAutoantigensBrainHumansProteomicsYoung AdultAutoantibodiesAutoantigens

Identifiers

PMID33208725
PMCPMC7676257
OpenAlexW3104402366

What OpenQuestion holds

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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.