Volume 8, Issue 4 (July & August 2017 -- 2017)                   BCN 2017, 8(4): 307-316 | Back to browse issues page

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Zamanian-Azodi M, Rezaei-Tavirani M, Nejadi N, Arefi Oskouie A, Zayeri F, Hamdieh M, et al . Serum Proteomic Profiling of Obsessive-Compulsive Disorder, Washing Subtype: A Preliminary Study. BCN. 2017; 8 (4) :307-316
URL: http://bcn.iums.ac.ir/article-1-785-en.html
1- Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2- Proteomics Research Center, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3- Department of Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
4- Taleghani Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
5- Department of Surgery, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
6- Department of Microbiology, School of Medicine, Arak University of Medical Sciences, Arak, Iran.
7- Physiotherapy Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Introduction: Obsessive-Compulsive Disorder (OCD) is a disabling mental condition that its proteomic profiling is not yet investigated. Proteomics is a valuable tool to discover biomarker approaches. It can be helpful to detect protein expression changes in complex disorders such as OCD.
Methods: Here, by the application of 2D gel electrophoresis (2DE), a pilot study of serum proteome profile of females with washing subtype of OCD was performed. Serum samples were obtained from females with washing subtype of OCD. Following the protein extraction from the serum with acetone perception, the samples were subjected to 2DE for separation based on pI and molecular weight (MW) with triple replications. Finally, the protein spots were visualized using Coomassie blue staining method and analyzed by Progenesis SameSpots software. Furthermore, protein-protein interaction (PPI) network analysis was handled by the application of Cytoscape software. 
Results: The results suggested that 41 matched spots demonstrated significant expression alterations among which 5 proteins including immunoglobulin heavy constant alpha-1 (IGHA1), apolipoprotein A-4 (APOA4), haptoglobin (HP), protein α-1-antitrypsin (SERPINA1), and component 3 (C3) were identified by database query. Additionally, PPI network analysis indicated the central role of SERPINA1 and C3 in the network integrity. However, albumin (ALB), amyloid precursor protein (APP), and protein α-1-antitrypsin (APOA1) proteins were important in OCD PPI network as well. The identified proteins were related to 3 processes: acute-phase response, hydrogen peroxide catabolic process, and regulation of triglyceride metabolic process.
Conclusion: It was concluded that these proteins may have a fundamental role in OCD pathogenesis. Moreover, the dysregulation of inflammatory and antioxidant systems in OCD risk was suggested by the current study. However, evaluation of bigger sample sizes and application of mass spectrometry are essential requirements to confirm this preliminary evaluation.

Type of Study: Original | Subject: Behavioral Neuroscience
Received: 2016/11/16 | Accepted: 2017/04/12 | Published: 2017/07/1

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