ArticleMedical science monitor : international medical journal of experimental and clinical research2020
Peripheral Blood Leukocyte RNA-Seq Identifies a Set of Genes Related to Abnormal Psychomotor Behavior Characteristics in Patients with Schizophrenia.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- MiR-574-5P, miR-1827, and miR-4429 as Potential Biomarkers for Schizophrenia.Journal of molecular neuroscience : MN · 2022Pooled it
- Peripheral Blood-Based Gene Expression Studies in Schizophrenia: A Systematic Review.Frontiers in genetics · 2021Pooled it
- SNP-based prediction of schizophrenia using machine learning.Bioinformatics advances · 2026Article
- LncRNA-miRNA‒mRNA Network in Schizophrenia.Journal of molecular neuroscience : MN · 2025Article
- Sex-related differences and associated transcriptional signatures in the brain ventricular system and cerebrospinal fluid development in full-term neonates.Biology of sex differences · 2025Article
- A Transcriptomic Signature of Depressive Symptoms in Late Life.Biological psychiatry global open science · 2025Article
- Contrasting genetic predisposition and diagnosis in psychiatric disorders: A multi-omic single-nucleus analysis of the human OFC.Science advances · 2025Article
- Care burden among Iranian family caregivers of patients with schizophrenia: the predictive role of quality of life and life satisfaction.Frontiers in psychiatry · 2025Article
- A novel blood-based epigenetic biosignature in first-episode schizophrenia patients through automated machine learning.Translational psychiatry · 2024Article
- Methylome-wide and meQTL analysis helps to distinguish treatment response from non-response and pathogenesis markers in schizophrenia.Frontiers in psychiatry · 2024Article
- Methylation ofFrontiers in genetics · 2024Article
- Whole-genome sequencing analysis of suicide deaths integrating brain-regulatory eQTLs data to identify risk loci and genes.Molecular psychiatry · 2023Article
- Knowledge about schizophrenia test: the Chinese Mandarin version and its sociodemographic and clinical factors.BMC psychiatry · 2023Article
- Is It Time for a Paradigm Shift in the Treatment of Schizophrenia? The Use of Inflammation-Reducing and Neuroprotective Drugs-A Review.Brain sciences · 2023Review
- Identification of schizophrenia symptom-related gene modules by postmortem brain transcriptome analysis.Translational psychiatry · 2023Article
- Serum Growth Factors in Schizophrenia Patients.Current issues in molecular biology · 2023Article
- Review
- Investigating the shared genetic architecture and causal relationship between pain and neuropsychiatric disorders.Human genetics · 2023Article
- Article
- Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study.IEEE transactions on medical imaging · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Schizophrenia is a multigene disease with a complex etiology and different clinical manifestations. It is of great significance to understand the etiology and pathogenesis of schizophrenia patients from different clinical dimensions and to interpret the potential molecular changes of schizophrenia patients from different clinical dimensions. MATERIAL AND METHODS RNA-Seq was performed on peripheral blood leukocytes of 50 patients with schizophrenia and 50 healthy controls. Phenotypic information of patients with schizophrenia was collected during blood sampling. Differentially expressed genes (DEGs) were screened by the edgeR package of R software. To better analyze the correlation between DEG expression values, explore the potential association between differential genes and clinical dimensions of schizophrenia, and identify hub genes, we constructed a DEG co-expression network using weighted gene co-expression network analysis (WGCNA). RESULTS We provide the transcription profiles of peripheral blood leukocytes in patients with schizophrenia and found a gene module (including 89 genes) closely related to the clinical dimension of abnormal psychomotor behavior in schizophrenia. CONCLUSIONS The findings enhance our understanding of the biological processes of schizophrenia, enabling us to identify specific clinical dimensions of genes for diagnosis and prognostic markers and possibly for targeted therapy.
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