Showing 7 results for Rezaei Tavirani
Mona Zamanian Azodi, Mostafa Rezaei Tavirani, Afsaneh Arefi Oskouie, Vahid Mansouri, Mostafa Hamdieh, Naser Nejati, Mohsen Hamidpour, Alireza Ahmadzadeh, Mohammad Rostami-Nejad, Majid Rezaei Tavirani, Seyed Abdolreza Mortazavi Tabatabaei,
Volume 9, Issue 3 (May & June 2018 2018)
Abstract
Introduction: Obsessive-Compulsive Disorder (OCD) as one of the important mental problems is valuable topic for proteomic research studies to better understand the underlying mechanisms of this disorder.
Methods: In this paper, gel-based proteomic was used to investigate the proteome profile of 16 female patients with OCD, washing subtype before and after treatment with fluoxetine and comparing them with 20 healthy female controls.
Results: One of the abnormally expressed protein spots in this study was introduced and examined for protein-protein interaction network analysis via Cytoscape and its plug-ins. Transthyretin (TTR) protein showed significant expression changes (fold change=1.7, P<0.05). While the expression level of TTR is significantly decreased in OCD patients before any treatments, the trend is partially normalized after treatment with fluoxetine in positive responders. Furthermore, TTR interaction profile shows that the proteins interacting with this protein may get affected as this protein expression trend changes in OCD patients.
Conclusion: TTR can be considered for further studies to be validated as a potential biomarker for OCD.
Mona Zamanian-Azodi, Mostafa Rezaei-Tavirani, Mohammad Mahboubi, Mohsen Hamidpour, Majid Rezaei Tavirani, Mostafa Hamdieh, Mohammad Rostami-Nejad, Naser Nejadi, Mohammad Kamran Derakhshan,
Volume 9, Issue 5 (September & October 2018 2018)
Abstract
Introduction: Many genetic studies are conducted on Obsessive-Compulsive Disorder (OCD). however, a high-throughput examination of proteome profile of this severe disease has not been performed yet.
Methods: Here, the proteomic study of OCD patients’ serum samples was conducted by the application of Two-Dimensional Electrophoresis (2DE) followed by Mass Spectrometry (MALDI-TOF-TOF).
Results: A total of 240 protein spots were detected and among them, five significant differentially expressed protein spots with the fold change of ≥1.5 were considered for further evaluations. These proteins include IGKC, GC, HPX, and two isoforms of HP. While IGKC and HP show down-regulation, GC and HPX indicate up-regulation. Moreover, a validation study of overall HP levels in patients’ serum via nephelometric quantification confirmed the lower levels of this protein in the serum of OCD patients. Additionally, enrichment analysis and validation test revealed that inflammation is one of most dominant processes in OCD.
Conclusion: It is suggested that these candidate proteins and their underlying processes (especially, inflammation) may be linked to OCD pathophysiology and can promise a clinical use after extensive validation studies.
Mostafa Rezaei Tavirani, Sina Rezaei Tavirani, Mohammad-Mahdi Zadeh-Esmaeel, Nayeb Ali Ahmadi,
Volume 10, Issue 4 (July & August 2019)
Abstract
Introduction: Pain is valuable in diagnosis and also warning of the patients. Many molecular reagents are introduced which are related to pain. In this research, the pain-related genes are screened to identify the critical ones.
Methods: First, the pain-related genes were pulling out from the STRING database, and Cytoscape software was used to make the interactome unit. Then the central genes and their neighbors were analyzed. Finally, the genes were clustered, and the essential genes were introduced.
Results: After analyzing 159 genes of the network, FOS, IL6, TNF, TAC1, IL8, and KNG1 were identified as the essential genes. Further analysis revealed that 88 genes are directly connected to the central genes. More resolution led to ignoring TNF and IL8 and considering SCN-alpha and PAICS as additional critical nodes.
Conclusion: Six critical genes related to pain were identified. They can be potentially considered as new drug targets. Further investigation is required to introduce the central genes as a pain killer.
Mona Zamanian Azodi, Mostafa Rezaei Tavirani, Majid Rezaei Tavirani, Mohammad Rostami Nejad,
Volume 12, Issue 1 (January & February 2021)
Abstract
Introduction: Down syndrome as a genetic disorder is a popular research topic in molecular studies. One way to study Down syndrome is via bioinformatics.
Methods: In this study, a gene expression profile from a microarray study was selected for more investigation.
Results: The study of Down syndrome patients shows specific genes with differential expression and network centrality properties. These genes are introduced as RHOA, FGF2, FYN, and CD44, and their level of expression is high in these patients.
Conclusion: This study suggests that besides chromosomes 21, there are additional contributing chromosomes to the risk of Down syndrome development. Besides, these genes could be used for clinical studies after more analysis.
Mona Zamanian-Azodi, Mostafa Rezaei-Tavirani, Majid Rezaei Tavirani,
Volume 12, Issue 2 (March & April 2021)
Abstract
Introduction: Obsessive-Compulsive Disorder (OCD) is one of the complex neuropsychiatric conditions. This disorder disables individuals in many different aspects of their personal and social life. Interactome analysis may provide a better understanding of this disorder’s molecular origin and its underlying mechanisms.
Methods: In this study, the OCD-associated genes were extracted from the literature. The criterion for gene selection was to choose genes with at least one significant report. Furthermore, by applying Cytoscape and its plugins, protein-protein interaction network, and gene ontology of the 31 candidate genes related to OCD from genetic association studies is examined. The cross-validation method was used for network centrality assessment.
Results: A scale-free network, including 1940 nodes and 3269 edges for 31 genes, was constructed. According to the network centrality evaluation, ESR1, TNFα, DRD2, DRD4, HTR1B, HTR2A, and CDH2 showed the highest values and can be considered hub-bottlenecks elements. It is also confirmed by the number of 123 cross-validation tests that the frequency of these essential genes remains unaltered against the initial seed genes’ changes with the accuracy of 0.962. Besides, enrichment analysis identified four highlighted biological processes related to the 31 candidate genes. The top biological processes are determined as dopamine transport, learning, memory, and monoamine transport.
Conclusion: Among 31 initial genes, 7 were introduced as crucial elements for onset and development in OCD and can be suggested for further investigations. Furthermore, the complex molecular origin of OCD requires high-throughput screening for diagnosis and treatment goals. The findings are a possible valuable source to establish molecular-based diagnostic tools for OCD.
Babak Arjmand, Vahid Mansouri, Maryam Hamzeloo Moghadam, Sina Rezaei Tavirani,
Volume 14, Issue 2 (March & April 2023)
Abstract
Introduction: It is reported that migraine may be a risk factor for brain cancers. Since one of the best ways to assess this possible relationship is to study the molecular mechanism, here the common central dysregulated proteins between these diseases are investigated via network analysis.
Methods: The dysregulated proteins of migraine and gliosarcoma are extracted from the STRING database and interacted via Cytoscape software, version 3.7.2. to form two separate networks. Central nodes of the networks are compared to find the common central district proteins. First neighbors of the common central proteins are studied.
Results: The number of 11 hub bottlenecks was identified for each of the migraine and gliosarcoma cancer networks. Albumin (ALB) and interleukin 6 (IL6) were introduced as common differentially expressed central proteins. Kininogen 1 (KNG1), vascular endothelial growth factor A (VEGFA), and neurofibromatosis type I (NF1) the first neighbors of ALB-IL6 were connected to the central nodes of networks of the two studied diseases.
Conclusion: ALB and IL6 can be considered molecular links between migraine and brain cancers.
Samira Gilanchi, Mostafa Rezaei Tavirani, Mahyar Daskareh,
Volume 15, Issue 6 (November & December 2024)
Abstract
Introduction: Major depressive disorder (MDD) is a mental disorder characterized by alterations in mood, cognition, neurovegetative functions, and psychomotor activity. Millions of people worldwide suffer from this disease. There is no diagnosis based on laboratory tests for major depression. Even though there are varieties of treatments for MDD, antidepressants (ADs) are often used to treat the patients. There is a wide range of different responses to AD drugs. Treatment-resistant depression is a significant challenge in the treatment of this disease. This research aims to review our current knowledge of MDD and show the shortcomings in diagnosing and treating this disease. These gaps display the need for molecular studies to find new biomarkers related to this disease.
Methods: This review uses two search strategies: A literature search using keywords (major depressive disorder or MDD) and articles on each study topic. Animal experiments, pediatric MDD, and postpartum depression are excluded. For parts requiring more study, specific keywords were used.
Results: Biological approaches can help with a better understanding of the MDD pathogenesis mechanism, which is needed for diagnosis, treatment, and prediction of treatment response.
Conclusion: Although various treatments and diagnostic procedures exist for MDD, they are insufficient, and more investigations and research are needed. Finding a specific and sensitive panel of biomarkers is more helpful for accelerating the clinical development of new diagnoses and therapeutics for MDD.
