Lipid-correlated alterations in the transcriptome are enriched in several specific pathways in the postmortem prefrontal cortex of Japanese patients with schizophrenia

Abstract

AbstractBackgroundSchizophrenia is a chronic relapsing psychiatric disorder that is characterized by many symptoms and has a high heritability. A previous study showed that specific lipid molecules belong to phosphatidylinositol (PI) and phosphatidylserine (PS) was reduced in the postmortem prefrontal cortex of patients with schizophrenia1. However, signaling pathways contributing to the lipid changes remain unknown. Here we performed two types of transcriptome analyses in patients with schizophrenia: an un-biased transcriptome analysis solely based on RNA-seq data and a correlation analysis between levels of gene expression and lipids.Methodology/Principal FindingsRNA-Seq analysis was performed in the postmortem prefrontal cortex from 10 subjects with schizophrenia and 5 controls. Correlation analysis between the transcriptome and lipidome from 9 subjects which are the same samples in the previous lipidomics study1 (Table 1). Extraction of differentially expressed genes (DEGs) and further sequence and functional group analysis revealed changes of gene expression levels in phosphoinositide 3-kinase (PI3K)-Akt signaling and the complement system. In addition, a correlation analysis clarified alterations in several signaling/metabolic pathways including lipid-correlated genes, most of which are not found as DEGs in transcriptome analysis alone.Table 1.Characteristics of patients from whom postmortem brain samples were obtained.Abbreviations: PMI, postmortem interval, the time that has elapsed since a person has died; DOI, duration of illness, The samples used in correlation analysis are shown by black circles.ConclusionsThis study provided results of the first integrated analysis of the schizophrenia-associated transcriptome and lipidome within the PFC and revealed that lipid-correlated alterations in the transcriptome are enriched in specific pathways including PI3K-Akt signaling.