Evidence map›Paper›PMID 30576541›Full record

SynthesisThe international journal of neuropsychopharmacology2019

Peripheral Biomarkers in Schizophrenia: A Meta-Analysis of Microarray Gene Expression Datasets.

Ignazio S Piras, Mirko Manchia, Matthew J Huentelman, Federica Pinna, Clement C Zai, James L Kennedy, Bernardo Carpiniello

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in The international journal of neuropsychopharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

Ignazio S PirasNeurogenomic Division, Translational Genomic Research Institute, Phoenix, Arizona.
Mirko ManchiaSection of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Matthew J HuentelmanNeurogenomic Division, Translational Genomic Research Institute, Phoenix, Arizona.
Federica PinnaSection of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Clement C ZaiNeurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
James L KennedyNeurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Bernardo CarpinielloSection of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Translational Genomics Research Institute · USUniversity of Cagliari · ITUniversity of Toronto · CADalhousie University · CA

Funding

CIHR
6 · The paper itself

Abstract

backgroundSchizophrenia is a severe psychiatric disorder with a complex pathophysiology. Given its prevalence, high risk of mortality, early onset, and high levels of disability, researchers have attempted to develop early detection strategies for facilitating timely pharmacological and/or nonpharmacological interventions. Here, we performed a meta-analysis of publicly available gene expression datasets in peripheral tissues in schizophrenia and healthy controls to detect consistent patterns of illness-associated gene expression. We also tested whether our earlier finding of a downregulation of NPTX2 expression in the brain of schizophrenia patients replicated in peripheral tissues.

methodsWe conducted a systematic search in the Gene Expression Omnibus repository (https://www.ncbi.nlm.nih.gov/gds/) and identified 3 datasets matching our inclusion criteria: GSE62333, GSE18312, and GSE27383. After quality controls, the total sample size was: schizophrenia (n = 71) and healthy controls (n = 57) (schizophrenia range: n = 12-40; healthy controls range: n = 8-29).

resultsThe results of the meta-analysis conducted with the GeneMeta package revealed 2 genes with a false discovery rate  < 0.05: atlastin GTPase 3 (ATL3) (upregulated) and arachidonate 15-lipoxygenase, type B (ALOX15B) (downregulated). The result for ATL3 was confirmed using the weighted Z test method, whereas we found a suggestive signal for ALOX15B (false discovery rate < 0.10).

conclusionsThese data point to alterations of peripheral expression of ATL3 in schizophrenia, but did not confirm the significant association signal found for NPTX2 in postmortem brain samples. These findings await replication in newly recruited schizophrenia samples as well as complementary analysis of their encoded peptides in blood.

Indexed as

Databases, GeneticGene Expression ProfilingGenetic MarkersHumansMicroarray AnalysisSchizophreniaGenetic Markersbiomarkerbiostatisticsmeta-analysispathway analysispsychosistranscriptomics

Identifiers

PMID30576541
PMCPMC6403089
OpenAlexW2906546755

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.