Evidence map›Paper›PMID 27959328›Full record

ArticleTranslational psychiatry2016

Insights into psychosis risk from leukocyte microRNA expression.

C D Jeffries, D O Perkins, S D Chandler, T Stark, E Yeo, J Addington, C E Bearden, K S Cadenhead, T D Cannon, B A Cornblatt and 7 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 25% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Brain-enriched extracellular vesicle microRNAs could help to predict onset of psychosis in people at clinical high risk.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
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  18. The Role of microRNA Expression in Cortical Development During Conversion to Psychosis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017
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  19. Article
  20. 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

17 authors at 11 institutions in 2 countries.

C D JeffriesRenaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA.
D O PerkinsDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
S D ChandlerCenter for Behavioral Genomics, Department of Psychiatry, and the Institute of Genomic Medicine, University of California, San Diego, San Diego, CA, USA.
T StarkDivision of Biological Sciences, University of California, San Diego, San Diego, CA, USA.
E YeoDepartment of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA.
J AddingtonHotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, AB, Canada.
C E BeardenDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA.
K S CadenheadDepartment of Psychiatry, University of California, San Diego, San Diego, CA, USA.
T D CannonDepartments of Psychology and Psychiatry, Yale University, New Haven, CT, USA.
B A CornblattDepartment of Psychiatry, Zucker Hillside Hospital, Glen Oaks, NY, USA.
D H MathalonDepartment of Psychiatry, University of California, San Francisco, San Francisco, CA, USA.
T H McGlashanDepartment of Psychiatry, Yale University, New Haven, CT, USA.
L J SeidmanDepartment of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA.
E F WalkerDepartment of Psychology, Emory University, Atlanta, GA, USA.
S W WoodsDepartment of Psychiatry, Yale University, New Haven, CT, USA.
S J GlattDepartment of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA.
M TsuangCenter for Behavioral Genomics, Department of Psychiatry, and the Institute of Genomic Medicine, University of California, San Diego, San Diego, CA, USA.
University of California San Diego · USYale University · USBeth Israel Deaconess Medical Center · USEmory University · USRenaissance Computing Institute · USSUNY Upstate Medical University · USUniversity of Calgary · CAUniversity of California, Los Angeles · USUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · USZucker Hillside Hospital · US

Funding

PILOT AND FEASIBILITY STUDIESP30DK034987 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT S. SANDLER · 1985 to 2026
$30.5M
STRESS AND EMOTIONAL REACTIVITYP50MH066286 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NUECHTERLEIN, KEITH H · 2003 to 2014
$18.6M
1/9 Predictors and Mechanisms of Conversion to PsychosisU01MH081902 · NIMH · YALE UNIVERSITY · PI CANNON, TYRONE D · 2008 to 2018
$12.4M
5/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082004 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PERKINS, DIANA O. · 2008 to 2018
$7.5M
Administrative Supplement Harmonization of At Risk Multisite Observational Networks for Youth(HARMONY)U01MH081928 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI STONE, WILLIAM SETH · 2008 to 2018
$7.1M
4/9-Predictors and Mechanisms of Conversion to PsychosisU01MH081857 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI CORNBLATT, BARBARA A. · 2008 to 2018
$6.2M
8/9 Predictors and Mechanisms of Conversion to PsychosisU01MH082022 · NIMH · YALE UNIVERSITY · PI WOODS, SCOTT W · 2008 to 2018
$6.0M
2/9 - Predictors and Mechanisms of Conversion to PsychosisU01MH081988 · NIMH · EMORY UNIVERSITY · PI WALKER, ELAINE FRAN · 2008 to 2018
$5.4M
6/9-Predictors and Mechanisms of Conversion to PsychosisU01MH081944 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CADENHEAD, KRISTIN S. · 2008 to 2018
$4.9M
"7/9" Predictors and Mechanisms of Conversion to PsychosisU01MH081984 · NIMH · UNIVERSITY OF CALGARY · PI ADDINGTON, JEAN M · 2008 to 2018
$4.2M
9/9-Predictors and Mechanisms of Conversion to PsychosisU01MH076989 · NIMH · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MATHALON, DANIEL H · 2014 to 2018
$3.9M
Functional Brain Abnormalities in the Schizophrenia ProdromeR01MH076989 · NIMH · YALE UNIVERSITY · PI MATHALON, DANIEL H · 2007 to 2014
$2.3M
NIDDK NIH HHS P30 DK034987NIMH NIH HHS P50 MH066286NIMH NIH HHS R01 MH076989NIMH NIH HHS R01 MH085521NIMH NIH HHS U01 MH076989NIMH NIH HHS U01 MH081857NIMH NIH HHS U01 MH081902NIMH NIH HHS U01 MH081928NIMH NIH HHS U01 MH081944NIMH NIH HHS U01 MH081984NIMH NIH HHS U01 MH081988NIMH NIH HHS U01 MH082004NIMH NIH HHS U01 MH082022
6 · The paper itself

Abstract

Dysregulation of immune system functions has been implicated in schizophrenia, suggesting that immune cells may be involved in the development of the disorder. With the goal of a biomarker assay for psychosis risk, we performed small RNA sequencing on RNA isolated from circulating immune cells. We compared baseline microRNA (miRNA) expression for persons who were unaffected (n=27) or who, over a subsequent 2-year period, were at clinical high risk but did not progress to psychosis (n=37), or were at high risk and did progress to psychosis (n=30). A greedy algorithm process led to selection of five miRNAs that when summed with +1 weights distinguished progressed from nonprogressed subjects with an area under the receiver operating characteristic curve of 0.86. Of the five, miR-941 is human-specific with incompletely understood functions, but the other four are prominent in multiple immune system pathways. Three of those four are downregulated in progressed vs. nonprogressed subjects (with weight -1 in a classifier function that increases with risk); all three have also been independently reported as downregulated in monocytes from schizophrenia patients vs. unaffected subjects. Importantly, these findings passed stringent randomization tests that minimized the risk of conclusions arising by chance. Regarding miRNA-miRNA correlations over the three groups, progressed subjects were found to have much weaker miRNA orchestration than nonprogressed or unaffected subjects. If independently verified, the leukocytic miRNA biomarker assay might improve accuracy of psychosis high-risk assessments and eventually help rationalize preventative intervention decisions.

Indexed as

AdolescentAdultChildDisease ProgressionDown-RegulationFemaleGene ExpressionGenetic Predisposition to DiseaseGenetic TestingHumansImmune System PhenomenaLeukocytesLongitudinal StudiesMaleMicroRNAsMonocytesMicroRNAsMIRN941 microRNA, human

Identifiers

PMID27959328
PMCPMC5290334
OpenAlexW2567498147

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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.