Gene expression analysis of Schizophrenia

Schizophrenia is a chronic psychiatric disorder marked by cognitive deficits associated with prefrontal cortical dysfunction, particularly in Broadmann Area 10 (BA 10), where gray matter reduction is observed. The genetic mechanisms behind these abnormalities remain unclear. Therefore, it is of interest to analyze altered gene expression and pathways in the prefrontal cortex of schizophrenia patients. We used two GEO datasets - GSE12654 (discovery) and GSE17612 (validation) and differential gene expression was assessed between schizophrenia patients and healthy controls. Validation confirmed three upregulated genes (S100A9, S100A8, BCL2A1) and one downregulated gene (CBLB), with protein interaction analysis revealing that upregulated genes were linked to immune and apoptotic processes, while downregulated genes suppressed EGF pathways. These findings suggest immune dysfunction and gray matter loss in schizophrenia, highlighting potential biomarkers and therapeutic targets.

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Bioinformation
Published
2024-11-30
DOI
https://doi.org/10.6026/9732063002001441
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1
Primary Topic
S100 Proteins and Annexins
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article
Field-Weighted Citation Impact
0.23
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Gene expression analysis of Schizophrenia

Vishwajit Ravavindra Deshmukh, S. C. Tripathi, Gunjan Sharma, Ashlesh Patil et al.
1 citations
Bioinformation
S100 Proteins and Annexins
0.23
article

Gene expression analysis of Schizophrenia

Vishwajit Ravavindra Deshmukh, S. C. Tripathi, Gunjan Sharma, Ashlesh Patil, Anoop Anand Malik
article en
1 citations

Abstract

Schizophrenia is a chronic psychiatric disorder marked by cognitive deficits associated with prefrontal cortical dysfunction, particularly in Broadmann Area 10 (BA 10), where gray matter reduction is observed. The genetic mechanisms behind these abnormalities remain unclear. Therefore, it is of interest to analyze altered gene expression and pathways in the prefrontal cortex of schizophrenia patients. We used two GEO datasets - GSE12654 (discovery) and GSE17612 (validation) and differential gene expression was assessed between schizophrenia patients and healthy controls. Validation confirmed three upregulated genes (S100A9, S100A8, BCL2A1) and one downregulated gene (CBLB), with protein interaction analysis revealing that upregulated genes were linked to immune and apoptotic processes, while downregulated genes suppressed EGF pathways. These findings suggest immune dysfunction and gray matter loss in schizophrenia, highlighting potential biomarkers and therapeutic targets.

BioinformationVol. 20(11)
All India Institute of Medical Sciences Raipur (IN), All India Institute of Medical Sciences Jodhpur (IN), All India Institute of Medical Sciences Bhopal (IN), Central India Institute of Medical Sciences (IN), Institute of Bioinformatics (IN), All India Institute of Medical Sciences, Nagpur (IN)
Good health and well-being
Openalex Percentile: Top 40%
S100 Proteins and Annexins
0.23
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