Evidence map›Paper›PMID 29875399›Full record

Observational studyTranslational psychiatry2018

Networks of blood proteins in the neuroimmunology of schizophrenia.

Clark D Jeffries, Diana O Perkins, Margot Fournier, Kim Q Do, Michel Cuenod, Ines Khadimallah, Enrico Domenici, Jean Addington, Carrie E Bearden, Kristin S Cadenhead and 8 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 31% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. MMPs in learning and memory and neuropsychiatric disorders.Cellular and molecular life sciences : CMLS · 2019
    Review
  13. Neuroinflammation and Schizophrenia.Current psychiatry reports · 2019
    Review
  14. Article
  15. Article
  16. Review
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

18 authors at 13 institutions in 4 countries.

Clark D JeffriesRenaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA. clark_jeffries@med.unc.edu.ORCID http://orcid.org/0000-0002-3044-2649
Diana O PerkinsDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Margot FournierDepartment of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Kim Q DoDepartment of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-1968-1646
Michel CuenodDepartment of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Ines KhadimallahDepartment of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Enrico DomeniciLaboratory of Neurogenomic Biomarkers, Centre for Integrative Biology, and Microsoft Research, Centre for Computational Systems Biology, University of Trento, Trento, Italy.ORCID http://orcid.org/0000-0001-7436-6919
Jean AddingtonHotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, AB, Canada.
Carrie E BeardenDepartments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, CA, USA.
Kristin S CadenheadDepartment of Psychiatry, UCSD, San Diego, CA, USA.
Tyrone D CannonDepartment of Psychology, Yale University, New Haven, CT, USA.
Barbara A CornblattDepartment of Psychiatry, Zucker Hillside Hospital, Long Island, NY, USA.
Daniel H MathalonDepartment of Psychiatry, UCSF and San Francisco VA Healthcare System, San Francisco, CA, USA.
Thomas H McGlashanDepartment of Psychology, Yale University, New Haven, CT, USA.
Larry J SeidmanDepartment of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA.
Ming TsuangDepartment of Psychiatry, Center for Behavioral Genomics UCSD, San Diego, CA, USA.
Elaine F WalkerDepartments of Psychology and Psychiatry, Emory University, Atlanta, GA, USA.
Scott W WoodsDepartment of Psychology, Yale University, New Haven, CT, USA.
University of Lausanne · CHYale University · USBeth Israel Deaconess Medical Center · USEmory University · USJoint Center for Structural Genomics · USNeurobehavioral Systems · USRenaissance Computing Institute · USSan Francisco VA Health Care System · USUniversity of Calgary · CAUniversity of California San Diego · USUniversity of North Carolina at Chapel Hill · USUniversity of Trento · ITZucker Hillside Hospital · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Harvard Clinical and Translational Science Center (UL1)UL1TR000170 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2012 to 2013
$31.4M
4/9-Predictors and Mechanisms of Conversion to PsychosisU01MH081857 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI CORNBLATT, BARBARA A. · 2008 to 2018
$6.2M
NCATS NIH HHS UL1 TR000170NIMH NIH HHS U01 MH081857
6 · The paper itself

Abstract

Levels of certain circulating cytokines and related immune system molecules are consistently altered in schizophrenia and related disorders. In addition to absolute analyte levels, we sought analytes in correlation networks that could be prognostic. We analyzed baseline blood plasma samples with a Luminex platform from 72 subjects meeting criteria for a psychosis clinical high-risk syndrome; 32 subjects converted to a diagnosis of psychotic disorder within two years while 40 other subjects did not. Another comparison group included 35 unaffected subjects. Assays of 141 analytes passed early quality control. We then used an unweighted co-expression network analysis to identify highly correlated modules in each group. Overall, there was a striking loss of network complexity going from unaffected subjects to nonconverters and thence to converters (applying standard, graph-theoretic metrics). Graph differences were largely driven by proteins regulating tissue remodeling (e.g. blood-brain barrier). In more detail, certain sets of antithetical proteins were highly correlated in unaffected subjects (e.g. SERPINE1 vs MMP9), as expected in homeostasis. However, for particular protein pairs this trend was reversed in converters (e.g. SERPINE1 vs TIMP1, being synthetical inhibitors of remodeling of extracellular matrix and vasculature). Thus, some correlation signals strongly predict impending conversion to a psychotic disorder and directly suggest pharmaceutical targets.

Indexed as

AdolescentAdultBiomarkersBlood ProteinsFemaleHumansLongitudinal StudiesMaleMatrix Metalloproteinase 9NeuroimmunomodulationPlasminogen Activator Inhibitor 1SchizophreniaTissue Inhibitor of Metalloproteinase-1Young AdultBiomarkersBlood ProteinsMatrix Metalloproteinase 9MMP9 protein, humanPlasminogen Activator Inhibitor 1SERPINE1 protein, humanTIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1

Identifiers

PMID29875399
PMCPMC5990539
OpenAlexW2806431434

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.