Cargando…

A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis

Schizophrenia affecting almost 1% and bipolar disorder affecting almost 3%–5% of the global population constitute two severe mental disorders. The catecholaminergic and the serotonergic pathways have been proved to play an important role in the development of schizophrenia, bipolar disorder, and oth...

Descripción completa

Detalles Bibliográficos
Autores principales: Logotheti, Marianthi, Papadodima, Olga, Venizelos, Nikolaos, Chatziioannou, Aristotelis, Kolisis, Fragiskos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3608181/
https://www.ncbi.nlm.nih.gov/pubmed/23554570
http://dx.doi.org/10.1155/2013/685917
_version_ 1782264200836415488
author Logotheti, Marianthi
Papadodima, Olga
Venizelos, Nikolaos
Chatziioannou, Aristotelis
Kolisis, Fragiskos
author_facet Logotheti, Marianthi
Papadodima, Olga
Venizelos, Nikolaos
Chatziioannou, Aristotelis
Kolisis, Fragiskos
author_sort Logotheti, Marianthi
collection PubMed
description Schizophrenia affecting almost 1% and bipolar disorder affecting almost 3%–5% of the global population constitute two severe mental disorders. The catecholaminergic and the serotonergic pathways have been proved to play an important role in the development of schizophrenia, bipolar disorder, and other related psychiatric disorders. The aim of the study was to perform and interpret the results of a comparative genomic profiling study in schizophrenic patients as well as in healthy controls and in patients with bipolar disorder and try to relate and integrate our results with an aberrant amino acid transport through cell membranes. In particular we have focused on genes and mechanisms involved in amino acid transport through cell membranes from whole genome expression profiling data. We performed bioinformatic analysis on raw data derived from four different published studies. In two studies postmortem samples from prefrontal cortices, derived from patients with bipolar disorder, schizophrenia, and control subjects, have been used. In another study we used samples from postmortem orbitofrontal cortex of bipolar subjects while the final study was performed based on raw data from a gene expression profiling dataset in the postmortem superior temporal cortex of schizophrenics. The data were downloaded from NCBI's GEO datasets.
format Online
Article
Text
id pubmed-3608181
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-36081812013-04-02 A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis Logotheti, Marianthi Papadodima, Olga Venizelos, Nikolaos Chatziioannou, Aristotelis Kolisis, Fragiskos ScientificWorldJournal Research Article Schizophrenia affecting almost 1% and bipolar disorder affecting almost 3%–5% of the global population constitute two severe mental disorders. The catecholaminergic and the serotonergic pathways have been proved to play an important role in the development of schizophrenia, bipolar disorder, and other related psychiatric disorders. The aim of the study was to perform and interpret the results of a comparative genomic profiling study in schizophrenic patients as well as in healthy controls and in patients with bipolar disorder and try to relate and integrate our results with an aberrant amino acid transport through cell membranes. In particular we have focused on genes and mechanisms involved in amino acid transport through cell membranes from whole genome expression profiling data. We performed bioinformatic analysis on raw data derived from four different published studies. In two studies postmortem samples from prefrontal cortices, derived from patients with bipolar disorder, schizophrenia, and control subjects, have been used. In another study we used samples from postmortem orbitofrontal cortex of bipolar subjects while the final study was performed based on raw data from a gene expression profiling dataset in the postmortem superior temporal cortex of schizophrenics. The data were downloaded from NCBI's GEO datasets. Hindawi Publishing Corporation 2013-03-10 /pmc/articles/PMC3608181/ /pubmed/23554570 http://dx.doi.org/10.1155/2013/685917 Text en Copyright © 2013 Marianthi Logotheti et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Logotheti, Marianthi
Papadodima, Olga
Venizelos, Nikolaos
Chatziioannou, Aristotelis
Kolisis, Fragiskos
A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis
title A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis
title_full A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis
title_fullStr A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis
title_full_unstemmed A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis
title_short A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis
title_sort comparative genomic study in schizophrenic and in bipolar disorder patients, based on microarray expression profiling meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3608181/
https://www.ncbi.nlm.nih.gov/pubmed/23554570
http://dx.doi.org/10.1155/2013/685917
work_keys_str_mv AT logothetimarianthi acomparativegenomicstudyinschizophrenicandinbipolardisorderpatientsbasedonmicroarrayexpressionprofilingmetaanalysis
AT papadodimaolga acomparativegenomicstudyinschizophrenicandinbipolardisorderpatientsbasedonmicroarrayexpressionprofilingmetaanalysis
AT venizelosnikolaos acomparativegenomicstudyinschizophrenicandinbipolardisorderpatientsbasedonmicroarrayexpressionprofilingmetaanalysis
AT chatziioannouaristotelis acomparativegenomicstudyinschizophrenicandinbipolardisorderpatientsbasedonmicroarrayexpressionprofilingmetaanalysis
AT kolisisfragiskos acomparativegenomicstudyinschizophrenicandinbipolardisorderpatientsbasedonmicroarrayexpressionprofilingmetaanalysis
AT logothetimarianthi comparativegenomicstudyinschizophrenicandinbipolardisorderpatientsbasedonmicroarrayexpressionprofilingmetaanalysis
AT papadodimaolga comparativegenomicstudyinschizophrenicandinbipolardisorderpatientsbasedonmicroarrayexpressionprofilingmetaanalysis
AT venizelosnikolaos comparativegenomicstudyinschizophrenicandinbipolardisorderpatientsbasedonmicroarrayexpressionprofilingmetaanalysis
AT chatziioannouaristotelis comparativegenomicstudyinschizophrenicandinbipolardisorderpatientsbasedonmicroarrayexpressionprofilingmetaanalysis
AT kolisisfragiskos comparativegenomicstudyinschizophrenicandinbipolardisorderpatientsbasedonmicroarrayexpressionprofilingmetaanalysis