Abstract

Individuals affected with different neuropsychiatric disorders such as autism (AUT), schizophrenia (SCZ) and bipolar disorder (BPD), may share similar clinical manifestations, suggesting shared genetic influences and common biological mechanisms underlying these disorders. Using brain transcriptome data gathered from postmortem donors affected with AUT, SCZ and BPD, it is now possible to identify shared dysregulated gene sets, i.e., those abnormally expressed in brains of neuropsychiatric patients, compared to non-psychiatric controls. Here, we apply a novel aberrant gene expression analysis method, coupled with consensus co-expression network analysis, to identify gene sets with shared dysregulated expression in cortical brains of individuals affected with AUT, SCZ and BPD. We identify eight gene sets with dysregulated expression shared by AUT, SCZ and BPD, 23 by AUT and SCZ, four by AUT and BPD, and two by SCZ and BPD. The identified genes are enriched with functions relevant to amino acid transport, synapse, neurotransmitter release, oxidative stress, nitric oxide synthase biosynthesis, immune response, protein folding, lysophosphatidic acid-mediated signaling and glycolysis. Our method has been proven to be effective in discovering and revealing multigene sets with dysregulated expression shared by different neuropsychiatric disorders. Our findings provide new insights into the common molecular mechanisms underlying the pathogenesis and progression of AUT, SCZ and BPD, contributing to the study of etiological overlap between these neuropsychiatric disorders.

Highlights

  • Autism (AUT), schizophrenia (SCZ) and bipolar disorder (BPD) are three major neuropsychiatric disorders

  • By analyzing the shared dysregulated gene sets, we evaluate the extent of similarity between gene expression of AUT, SCZ and BPD and gain better understanding the downstream impact of genetic overlap in these neuropsychiatric disorders

  • We applied the algorithm of probabilistic estimation of expression residuals (PEER)[35] to discover up to 20 possible hidden determinants of expression variation and regressed out the hidden factors that were uncorrelated with disease status

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Summary

Introduction

Autism (AUT), schizophrenia (SCZ) and bipolar disorder (BPD) are three major neuropsychiatric disorders. AUT patients present with impairments in social interaction and communication, and repetitive and restricted behaviors. SCZ is characterized by delusions, hallucinations, disordered thoughts and blunted affect. The symptoms of BPD include recurrent mania and depression, frequently with delusions. Patients with these severe neuropsychiatric disorders share similar behavioral, social, cognitive, and perceptual impairments. The presence of SCZ or BPD in first-degree relatives is a consistent and significant risk factor for AUT2. Similarity in clinic symptoms, as well as shared genetic influences, between AUT, SCZ and BPD, have been the focus of several recent studies[3,4,5,6,7]

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