ArticleSchizophrenia research2016
Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia.
Article in Schizophrenia research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06112093 (Using Repetitive Transcranial Magnetic Stimulation to Manage Headaches and Improve Rehabilitation Outcomes in Mild Traumatic Brain Injury), which is not on this map. Cited by 51 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
Using Repetitive Transcranial Magnetic Stimulation to Manage Headaches and Improve Rehabilitation Outcomes in Mild Traumatic Brain Injury: A Longitudinal Study
Who cites it
51 citing papers in PubMed, 4 syntheses or guidelines pooled it, 90 citations in OpenAlex.
- Peripheral Blood-Based Gene Expression Studies in Schizophrenia: A Systematic Review.Frontiers in genetics · 2021Pooled it
- Transcriptomic abnormalities in peripheral blood in bipolar disorder, and discrimination of the major psychoses.Schizophrenia research · 2020Pooled it
- Genetic association and meta-analysis of a schizophrenia GWAS variant rs10489202 in East Asian populations.Translational psychiatry · 2018Pooled it
- PTSD Blood Transcriptome Mega-Analysis: Shared Inflammatory Pathways across Biological Sex and Modes of Trauma.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018Pooled it
- Ketamine enhances histone H3 (Ser10) phosphorylation via JNK signaling and multi-omics profiling of the hippocampus in a psychotic-like mouse model.Behavioral and brain functions : BBF · 2026Article
- Genotype epigenome phenotype integration reveals peripheral immune contributions to type I bipolar disorder.Nature communications · 2026Article
- Leveraging machine learning and network biology approaches to predict brain gene expression from blood transcriptomes.GigaScience · 2026Article
- Differential gene expression study in whole blood identifies candidate genes for psychosis in African American individuals.Schizophrenia research · 2025Article
- Alteration in CaMolecular biology reports · 2025Article
- Involvement of virus infections and antiviral agents in schizophrenia.Psychological medicine · 2025Review
- Alteration of microRNA expression in lymphocytes in patients with first-episode schizophrenia.BMC psychiatry · 2025Article
- Plasma miRNAs as potential biomarkers for schizophrenia in a Jordanian cohort.Non-coding RNA research · 2024Article
- A primer on the use of machine learning to distil knowledge from data in biological psychiatry.Molecular psychiatry · 2024Review
- Glucose dysregulation in antipsychotic-naive first-episode psychosis: in silico exploration of gene expression signatures.Translational psychiatry · 2024Article
- Central insulin dysregulation in antipsychotic-naïve first-episode psychosis: In silico exploration of gene expression signatures.Psychiatry research · 2024Article
- Molecular mapping of a core transcriptional signature of microglia-specific genes in schizophrenia.Translational psychiatry · 2023Article
- Patients with schizophrenia and bipolar disorder display a similar global gene expression signature in whole blood that reflects elevated proportion of immature neutrophil cells with association to lipid changes.Translational psychiatry · 2023Article
- BrainGENIE: The Brain Gene Expression and Network Imputation Engine.Translational psychiatry · 2023Article
- Infections, Inflammation, and Psychiatric Illness: Review of Postmortem Evidence.Current topics in behavioral neurosciences · 2023Review
- Modeling gene × environment interactions in PTSD using human neurons reveals diagnosis-specific glucocorticoid-induced gene expression.Nature neuroscience · 2022Article
Corrections and comments
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Authors and funding
20 authors at 7 institutions in 5 countries.
Funding
Abstract
The application of microarray technology in schizophrenia research was heralded as paradigm-shifting, as it allowed for high-throughput assessment of cell and tissue function. This technology was widely adopted, initially in studies of postmortem brain tissue, and later in studies of peripheral blood. The collective body of schizophrenia microarray literature contains apparent inconsistencies between studies, with failures to replicate top hits, in part due to small sample sizes, cohort-specific effects, differences in array types, and other confounders. In an attempt to summarize existing studies of schizophrenia cases and non-related comparison subjects, we performed two mega-analyses of a combined set of microarray data from postmortem prefrontal cortices (n=315) and from ex-vivo blood tissues (n=578). We adjusted regression models per gene to remove non-significant covariates, providing best-estimates of transcripts dysregulated in schizophrenia. We also examined dysregulation of functionally related gene sets and gene co-expression modules, and assessed enrichment of cell types and genetic risk factors. The identities of the most significantly dysregulated genes were largely distinct for each tissue, but the findings indicated common emergent biological functions (e.g. immunity) and regulatory factors (e.g., predicted targets of transcription factors and miRNA species across tissues). Our network-based analyses converged upon similar patterns of heightened innate immune gene expression in both brain and blood in schizophrenia. We also constructed generalizable machine-learning classifiers using the blood-based microarray data. Our study provides an informative atlas for future pathophysiologic and biomarker studies of schizophrenia.
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Registered trials
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.