HOME   |    PDF   |   


Title

Gene expression analysis of Schizophrenia

 

Authors

Gunjan Sharma1, Ansh Malik1, Satyendra Tripathi2, 5, Vishwajit Deshmukh 3, 5 & Ashlesh Patil4,5*

 

Affiliation

1AIIMS Nagpur, India; 2Department of Biochemistry AIIMS Nagpur, India; 3Department of Anatomy AIIMS Nagpur, India; 4Department of Physiology AIIMS Nagpur, India; 5Bioinformatics Data Analysis Unit (BDAU), AIIMS, Nagpur, India; *Corresponding author

 

Email

Ashlesh Patil - E -mail: dr.ashlesh.p@gmail.com, dr.ashlesh.p@aiimsnagpur.edu.in

Gunjan Sharma- E -mail: gunjanshrma2002@gmail.com

Ansh Malik- E -mail: anshmalik1234.am@gmail.com

Satyendra Tripathi- E -mail: sctripathi@aiimsnagpur.edu.in

Vishwajit Deshmukh - E -mail: vishwajitdeshmukh@aiimsnagpur.edu.in

 

Article Type

Research Article

 

Date

Received October 1, 2024; Revised November 5, 2024; Accepted November 5, 2024, Published November 5, 2024

 

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.

 

Keywords

Schizophrenia, prefrontal cortex, gene expression, biomarkers, dysfunctional immunity

 

Citation

Sharma et al. Bioinformation 20(11): 1441-1446 (2024)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.