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Central and Peripheral Changes in FOS Expression in Schizophrenia Based on Genome-Wide Gene Expression
Schizophrenia is a chronic, debilitating neuropsychiatric disorder. Multiple transcriptomic gene expression profiling analysis has been used to identify schizophrenia-associated genes, unravel disease-associated biomarkers, and predict clinical outcomes. We aimed to identify gene expression regulati...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6439315/ https://www.ncbi.nlm.nih.gov/pubmed/30967896 http://dx.doi.org/10.3389/fgene.2019.00232 |
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author | Huang, Jing Liu, Fangkun Wang, Bolun Tang, Hui Teng, Ziwei Li, Lehua Qiu, Yan Wu, Haishan Chen, Jindong |
author_facet | Huang, Jing Liu, Fangkun Wang, Bolun Tang, Hui Teng, Ziwei Li, Lehua Qiu, Yan Wu, Haishan Chen, Jindong |
author_sort | Huang, Jing |
collection | PubMed |
description | Schizophrenia is a chronic, debilitating neuropsychiatric disorder. Multiple transcriptomic gene expression profiling analysis has been used to identify schizophrenia-associated genes, unravel disease-associated biomarkers, and predict clinical outcomes. We aimed to identify gene expression regulation, underlying pathways, and their roles in schizophrenia pathogenesis. We searched the Gene Expression Omnibus (GEO) database for microarray studies of fibroblasts, lymphoblasts, and post-mortem brains of schizophrenia patients. Our analysis demonstrated high FOS expression in non-neural peripheral samples and low FOS expression in brain tissues of schizophrenia patients compared with healthy controls. FOS exhibited predictive value for schizophrenia patients in these datasets. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that “amphetamine addiction” was among the top 10 significantly enriched KEGG pathways. FOS and FOSB, which are implicated in the amphetamine addiction pathway, were up-regulated in schizophrenia fibroblast samples. Protein–protein interaction (PPI) network analysis revealed that proteins closely interacting with FOS-encoded protein were also involved in the amphetamine addiction pathway. Pearson correlation test indicated that FOS showed positive correlation with genes in the amphetamine pathway. The results revealed that FOS was acceptable as a biomarker for schizophrenia and may be involved in schizophrenia pathogenesis. |
format | Online Article Text |
id | pubmed-6439315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64393152019-04-09 Central and Peripheral Changes in FOS Expression in Schizophrenia Based on Genome-Wide Gene Expression Huang, Jing Liu, Fangkun Wang, Bolun Tang, Hui Teng, Ziwei Li, Lehua Qiu, Yan Wu, Haishan Chen, Jindong Front Genet Genetics Schizophrenia is a chronic, debilitating neuropsychiatric disorder. Multiple transcriptomic gene expression profiling analysis has been used to identify schizophrenia-associated genes, unravel disease-associated biomarkers, and predict clinical outcomes. We aimed to identify gene expression regulation, underlying pathways, and their roles in schizophrenia pathogenesis. We searched the Gene Expression Omnibus (GEO) database for microarray studies of fibroblasts, lymphoblasts, and post-mortem brains of schizophrenia patients. Our analysis demonstrated high FOS expression in non-neural peripheral samples and low FOS expression in brain tissues of schizophrenia patients compared with healthy controls. FOS exhibited predictive value for schizophrenia patients in these datasets. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that “amphetamine addiction” was among the top 10 significantly enriched KEGG pathways. FOS and FOSB, which are implicated in the amphetamine addiction pathway, were up-regulated in schizophrenia fibroblast samples. Protein–protein interaction (PPI) network analysis revealed that proteins closely interacting with FOS-encoded protein were also involved in the amphetamine addiction pathway. Pearson correlation test indicated that FOS showed positive correlation with genes in the amphetamine pathway. The results revealed that FOS was acceptable as a biomarker for schizophrenia and may be involved in schizophrenia pathogenesis. Frontiers Media S.A. 2019-03-22 /pmc/articles/PMC6439315/ /pubmed/30967896 http://dx.doi.org/10.3389/fgene.2019.00232 Text en Copyright © 2019 Huang, Liu, Wang, Tang, Teng, Li, Qiu, Wu and Chen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Huang, Jing Liu, Fangkun Wang, Bolun Tang, Hui Teng, Ziwei Li, Lehua Qiu, Yan Wu, Haishan Chen, Jindong Central and Peripheral Changes in FOS Expression in Schizophrenia Based on Genome-Wide Gene Expression |
title | Central and Peripheral Changes in FOS Expression in Schizophrenia Based on Genome-Wide Gene Expression |
title_full | Central and Peripheral Changes in FOS Expression in Schizophrenia Based on Genome-Wide Gene Expression |
title_fullStr | Central and Peripheral Changes in FOS Expression in Schizophrenia Based on Genome-Wide Gene Expression |
title_full_unstemmed | Central and Peripheral Changes in FOS Expression in Schizophrenia Based on Genome-Wide Gene Expression |
title_short | Central and Peripheral Changes in FOS Expression in Schizophrenia Based on Genome-Wide Gene Expression |
title_sort | central and peripheral changes in fos expression in schizophrenia based on genome-wide gene expression |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6439315/ https://www.ncbi.nlm.nih.gov/pubmed/30967896 http://dx.doi.org/10.3389/fgene.2019.00232 |
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