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Transcriptomics Analysis Reveals Shared Pathways in Peripheral Blood Mononuclear Cells and Brain Tissues of Patients With Schizophrenia

Datos Bibliográficos

ID15526318
AutoresXuemian Song (The Affiliated Yongchuan Hospital of Chongqing Medical University), Yiyun Liu (0000-0003-1853-6105, The Affiliated Yongchuan Hospital of Chongqing Medical University), Juncai Pu (0000-0001-9841-0291, The Affiliated Yongchuan Hospital of Chongqing Medical University), Siwen Gui (0000-0002-6169-5817, The Affiliated Yongchuan Hospital of Chongqing Medical University), Xiaogang Zhong (0000-0002-6648-4461, Chongqing Medical University), Xiaopeng Chen (0000-0002-4728-2039, The Affiliated Yongchuan Hospital of Chongqing Medical University), Weiyi Chen (0000-0002-5056-220X, Chongqing Medical University), Xiang Chen (0000-0002-5045-9253, Chongqing Medical University), Yue Chen (0000-0001-9582-590X, Chongqing Medical University), Haiyang Wang (0000-0003-3951-5901, Chongqing Medical University), Ke Cheng (0000-0003-3599-9347, Chongqing Medical University), Libo Zhao (0000-0002-1561-5206, Chongqing Medical University), Peng Xie (0000-0001-6175-9422, Stomatological Hospital of Chongqing Medical University, autor de correspondencia)
Año2021
Volumen12
Páginas716722-716722
Fecha de publicación2021-09-22
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Psychiatry (JOURNAL)
Identificadores de la revistaISSN: 1664-0640 • E-ISSN: 1664-0640
EditorialFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2021.716722
PMID34630179
OpenAlexW3200521997
IdiomaEN
Referencias citadas47

Background: Schizophrenia is a serious mental disorder with complicated biological mechanisms. Few studies explore the transcriptional features that are shared in brain tissue and peripheral blood. In the present study, we aimed to explore the biological pathways with similar expression patterns in both peripheral blood mononuclear cells (PBMCs) and brain tissues. Methods: The present study used transcriptomics technology to detect mRNA expression of PBMCs of 10 drug-naïve patients with schizophrenia and 20 healthy controls. Transcriptome data sets of brain tissue of patients with schizophrenia downloaded from public databases were also analyzed in our study. The biological pathways with similar expression patterns in the PBMCs and brain tissues were uncovered by differential expression analysis, weighted gene co-expression network analysis (WGCNA), and pathway analysis. Finally, the expression levels of differential expressed genes (DEGs) were validated by real-time fluorescence quantitative polymerase chain reaction (qPCR) in another 12 drug-naïve patients with schizophrenia and 12 healthy controls. Results: We identified 542 DEGs, 51 DEGs, 732 DEGs, and 104 DEGs in PBMCs, dorsolateral prefrontal cortex, anterior cingulate gyrus, and nucleus accumbent, respectively. Five DEG clusters were recognized as having similar gene expression patterns in PBMCs and brain tissues by WGCNA. The pathway analysis illustrates that these DEG clusters are mainly enriched in several biological pathways that are related to phospholipid metabolism, ribosome signal transduction, and mitochondrial oxidative phosphorylation. The differential significance of PLAAT3, PLAAT4, PLD2, RPS29, RPL30, COX7C, COX7A2, NDUFAF2 , and ATP5ME were confirmed by qPCR. Conclusions: This study finds that the pathways associated with phospholipid metabolism, ribosome signal transduction, and energy metabolism have similar expression patterns in PBMCs and brain tissues of patients with schizophrenia. Our results supply a novel insight for revealing the pathogenesis of schizophrenia and might offer a new approach to explore potential biological markers of peripheral blood in schizophrenia

Biological pathway · Biology · Gene · Gene expression · Peripheral blood mononuclear cell · Psychiatry · Schizophrenia (object-oriented programming · Signal transduction · Transcriptome · Bioinformatics and Genomic Networks · Genetic Associations and Epidemiology · Medicine · Neuroscience · Tryptophan and brain disorders · Cell Biology · Genetics

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