Evidence map›Paper›PMID 28674504›Full record

ArticleFrontiers in psychiatry2017

Antigliadin Antibodies (AGA IgG) Are Related to Neurochemistry in Schizophrenia.

Laura M Rowland, Haley K Demyanovich, S Andrea Wijtenburg, William W Eaton, Katrina Rodriguez, Frank Gaston, Daniela Cihakova, Monica V Talor, Fang Liu, Robert R McMahon and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  10. The potential ofPsychopharmacology · 2021
    Review
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  18. Gliadin-related antibodies in schizophrenia.Schizophrenia research · 2018
    Article
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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

12 authors at 3 institutions in 1 country.

Laura M RowlandMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States.
Haley K DemyanovichMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States.
S Andrea WijtenburgMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States.
William W EatonDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Katrina RodriguezDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Frank GastonMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States.
Daniela CihakovaImmunologic Disorders Laboratory, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Monica V TalorImmunologic Disorders Laboratory, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Fang LiuMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States.
Robert R McMahonMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States.
L Elliot HongMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States.
Deanna L KellyMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States.
University of Maryland, Baltimore · USJohns Hopkins University · USJohns Hopkins Medicine · US

Funding

Neural Oscillatory Biomarkers for Genetics and Animal Models of SchizophreniaR01MH085646 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2010 to 2013
$2.2M
Multimodal neuroimaging study of relational learning in schizophreniaR01MH094520 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI ROWLAND, LAURA M · 2012 to 2016
$1.9M
The Role of Stress-Immune-Connectome Disruption in Mechanisms of Chinese Early Schizophrenia SpectrumR01MH112180 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2017 to 2021
$1.0M
Development for RCT of Gluten Free Diet in Gliadin-Positive SchizophreniaR34MH100776 · NIMH · JOHNS HOPKINS UNIVERSITY · PI EATON, WILLIAM W, KELLY, DEANNA L · 2013 to 2015
$712k
NIMH NIH HHS R01 MH085646NIMH NIH HHS R01 MH094520NIMH NIH HHS R01 MH112180NIMH NIH HHS R34 MH100776
6 · The paper itself

Abstract

Inflammation may play a role in schizophrenia; however, subgroups with immune regulation dysfunction may serve as distinct illness phenotypes with potential different treatment and prevention strategies. Emerging data show that about 30% of people with schizophrenia have elevated antigliadin antibodies of the IgG type, representing a possible subgroup of schizophrenia patients with immune involvement. Also, recent data have shown a high correlation of IgG-mediated antibodies between the periphery and cerebral spinal fluid in schizophrenia but not healthy controls, particularly AGA IgG suggesting that these antibodies may be crossing the blood-brain barrier with resulting neuroinflammation. Proton magnetic resonance spectroscopy (MRS) is a non-invasive technique that allows the quantification of certain neurochemicals

Indexed as

antibodygliadinglutenGPC + PCinflammationmyoinositolneuroimagingschizophrenia

Identifiers

PMID28674504
PMCPMC5474459
OpenAlexW2625138118

What OpenQuestion holds

Textmetadata
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.