Evidence map›Paper›PMID 32260267›Full record

SynthesisGenes2020

Meta-Analysis of Transcriptomic Data of Dorsolateral Prefrontal Cortex and of Peripheral Blood Mononuclear Cells Identifies Altered Pathways in Schizophrenia.

Maria Cristina Petralia, Rosella Ciurleo, Andrea Saraceno, Manuela Pennisi, Maria Sofia Basile, Paolo Fagone, Placido Bramanti, Ferdinando Nicoletti, Eugenio Cavalli

Open access · goldAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Functional genomic profiling of schizophrenia-associated genes reveals key microglial regulators.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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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

9 authors at 2 institutions in 1 country.

Maria Cristina PetraliaDepartment of Educational Sciences, University of Catania, 95124 Catania, Italy.
Rosella CiurleoIRCCS Centro Neurolesi Bonino Pulejo, C.da Casazza, 98124 Messina, Italy.
Andrea SaracenoDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Manuela PennisiDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Maria Sofia BasileDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Paolo FagoneDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.ORCID 0000-0002-6694-1992
Placido BramantiIRCCS Centro Neurolesi Bonino Pulejo, C.da Casazza, 98124 Messina, Italy.
Ferdinando NicolettiDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.ORCID 0000-0002-4570-8462
Eugenio CavalliDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
University of Catania · ITCentro Neurolesi Bonino Pulejo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia (SCZ) is a psychiatric disorder characterized by both positive and negative symptoms, including cognitive dysfunction, decline in motivation, delusion and hallucinations. Antipsychotic agents are currently the standard of care treatment for SCZ. However, only about one-third of SCZ patients respond to antipsychotic medications. In the current study, we have performed a meta-analysis of publicly available whole-genome expression datasets on Brodmann area 46 of the brain dorsolateral prefrontal cortex in order to prioritize potential pathways underlying SCZ pathology. Moreover, we have evaluated whether the differentially expressed genes in SCZ belong to specific subsets of cell types. Finally, a cross-tissue comparison at both the gene and functional level was performed by analyzing the transcriptomic pattern of peripheral blood mononuclear cells of SCZ patients. Our study identified a robust disease-specific set of dysfunctional biological pathways characterizing SCZ patients that could in the future be exploited as potential therapeutic targets.

Indexed as

Antipsychotic AgentsBrainBrain MappingCognitive DysfunctionFemaleGene Expression ProfilingGene Expression RegulationGenome, HumanHumansLeukocytes, MononuclearMalePrefrontal CortexSchizophreniaSignal TransductionTranscriptomeAntipsychotic AgentsMAP kinasesprefrontal cortexschizophreniatranscriptomic meta-analysis

Identifiers

PMID32260267
PMCPMC7230488
OpenAlexW3014258316

What Socratic 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 Socratic graph.