Evidence map›Paper›PMID 31959813›Full record

ArticleScientific reports2020

Transcriptome analysis of fibroblasts from schizophrenia patients reveals differential expression of schizophrenia-related genes.

Mitra Etemadikhah, Adnan Niazi, Lennart Wetterberg, Lars Feuk

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

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  17. HGF and MET: From Brain Development to Neurological Disorders.Frontiers in cell and developmental biology · 2021
    Review
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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

4 authors.

Mitra EtemadikhahDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory Uppsala, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-5795-9085
Adnan NiaziDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory Uppsala, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-0311-5279
Lennart WetterbergDepartment of Clinical Neuroscience (CNS), K8, Karolinska Institute, Stockholm, Sweden.
Lars FeukDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory Uppsala, Uppsala University, Uppsala, Sweden. Lars.Feuk@igp.uu.se.ORCID http://orcid.org/0000-0003-2355-2919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is a complex neurodevelopmental disorder with high rate of morbidity and mortality. While the heritability rate is high, the precise etiology is still unknown. Although schizophrenia is a central nervous system disorder, studies using peripheral tissues have also been established to search for patient specific biomarkers and to increase understanding of schizophrenia etiology. Among all peripheral tissues, fibroblasts stand out as they are easy to obtain and culture. Furthermore, they keep genetic stability for long period and exhibit molecular similarities to cells from nervous system. Using a unique set of fibroblast samples from a genetically isolated population in northern Sweden, we performed whole transcriptome sequencing to compare differentially expressed genes in seven controls and nine patients. We found differential fibroblast expression between cases and controls for 48 genes, including eight genes previously implicated in schizophrenia or schizophrenia related pathways; HGF, PRRT2, EGR1, EGR3, C11orf87, TLR3, PLEKHH2 and PIK3CD. Weighted gene correlation network analysis identified three differentially co-expressed networks of genes significantly-associated with schizophrenia. All three modules were significantly suppressed in patients compared to control, with one module highly enriched in genes involved in synaptic plasticity, behavior and synaptic transmission. In conclusion, our results support the use of fibroblasts for identification of differentially expressed genes in schizophrenia and highlight dysregulation of synaptic networks as an important mechanism in schizophrenia.

Indexed as

FibroblastsGene ExpressionAgedEarly Growth Response Protein 1Early Growth Response Protein 3Exome SequencingFemaleGene Expression ProfilingGene Regulatory NetworksHepatocyte Growth FactorHumansMaleMembrane ProteinsNerve Tissue ProteinsNeuronal PlasticitySchizophreniaEarly Growth Response Protein 1Early Growth Response Protein 3EGR1 protein, humanEGR3 protein, humanHepatocyte Growth FactorHGF protein, humanMembrane ProteinsNerve Tissue ProteinsPRRT2 protein, human

Identifiers

PMID31959813
PMCPMC6971273

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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.