Dopamine perturbation of gene co-expression networks reveals differential response in schizophrenia for translational machinery

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作者
Mark Z. Kos
Jubao Duan
Alan R. Sanders
Lucy Blondell
Eugene I. Drigalenko
Melanie A. Carless
Pablo V. Gejman
Harald H. H. Göring
机构
[1] University of Texas Rio Grande Valley School of Medicine,South Texas Diabetes and Obesity Institute, Department of Human Genetics
[2] NorthShore University HealthSystem,Center for Psychiatric Genetics
[3] University of Chicago,Department of Psychiatry and Behavioral Neuroscience
[4] Texas Biomedical Research Institute,Department of Genetics
[5] Molecular Genetics of Schizophrenia (MGS) Collaboration,Queensland Centre for Mental Health Research, Brisbane and Queensland Brain Institute
[6] NorthShore University HealthSystem,undefined
[7] and University of Chicago,undefined
[8] Stanford University,undefined
[9] National Cancer Institute,undefined
[10] Louisiana State University Health Sciences Center,undefined
[11] The University of Queensland,undefined
[12] University of Colorado Denver,undefined
[13] Atlanta Veterans Affairs Medical Center and Emory University,undefined
[14] University of Iowa Carver College of Medicine,undefined
[15] Mount Sinai School of Medicine,undefined
[16] University of California at San Francisco,undefined
[17] Washington University,undefined
来源
Translational Psychiatry | / 8卷
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摘要
The dopaminergic hypothesis of schizophrenia (SZ) postulates that positive symptoms of SZ, in particular psychosis, are due to disturbed neurotransmission via the dopamine (DA) receptor D2 (DRD2). However, DA is a reactive molecule that yields various oxidative species, and thus has important non-receptor-mediated effects, with empirical evidence of cellular toxicity and neurodegeneration. Here we examine non-receptor-mediated effects of DA on gene co-expression networks and its potential role in SZ pathology. Transcriptomic profiles were measured by RNA-seq in B-cell transformed lymphoblastoid cell lines from 514 SZ cases and 690 controls, both before and after exposure to DA ex vivo (100 μM). Gene co-expression modules were identified using Weighted Gene Co-expression Network Analysis for both baseline and DA-stimulated conditions, with each module characterized for biological function and tested for association with SZ status and SNPs from a genome-wide panel. We identified seven co-expression modules under baseline, of which six were preserved in DA-stimulated data. One module shows significantly increased association with SZ after DA perturbation (baseline: P = 0.023; DA-stimulated: P = 7.8 × 10-5; ΔAIC = −10.5) and is highly enriched for genes related to ribosomal proteins and translation (FDR = 4 × 10−141), mitochondrial oxidative phosphorylation, and neurodegeneration. SNP association testing revealed tentative QTLs underlying module co-expression, notably at FASTKD2 (top P = 2.8 × 10−6), a gene involved in mitochondrial translation. These results substantiate the role of translational machinery in SZ pathogenesis, providing insights into a possible dopaminergic mechanism disrupting mitochondrial function, and demonstrates the utility of disease-relevant functional perturbation in the study of complex genetic etiologies.
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