Investigation of <i>ERG</i> Gene Expression in Iranian Patients with Multiple Sclerosis

Yazdanpanahi, Nasrin; Etemadifar, Masoud; Kardi, Mohammad-Taghi; Shams, Elahe; Shahbazi, Shirin

doi:10.1080/08820139.2018.1433203

Cited by 4 publications

(3 citation statements)

References 31 publications

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“…The latter offers the possibility of hypothesizing and developing new treatments and identifying diagnostic and prognostic biomarker profiles for neuroinflammation and ND. They could include the assessment of transmigration and activation levels of monocytes, as well as the levels, activation, and quantification of clonotypic cells and their mediators, and the evaluation of expression of NF-kB and other transcriptional factors (i.e., ERG factor) and the related pathways [146,147]. The concomitant assessment of microRNAs and epigenetic factors involved in the regulation of these mechanisms could be additionally helpful.…”

Section: Discussionmentioning

confidence: 99%

Neuroinflammation and Neurodegenerative Diseases: How Much Do We Still Not Know?

Balistreri,

Monastero

2023

Brain Sciences

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The term “neuroinflammation” defines the typical inflammatory response of the brain closely related to the onset of many neurodegenerative diseases (NDs). Neuroinflammation is well known, but its mechanisms and pathways are not entirely comprehended. Some progresses have been achieved through many efforts and research. Consequently, new cellular and molecular mechanisms, diverse and conventional, are emerging. In listing some of those that will be the subject of our description and discussion, essential are the important roles of peripheral and infiltrated monocytes and clonotypic cells, alterations in the gut–brain axis, dysregulation of the apelinergic system, alterations in the endothelial glycocalyx of the endothelial component of neuronal vascular units, variations in expression of some genes and levels of the encoding molecules by the action of microRNAs (miRNAs), or other epigenetic factors and distinctive transcriptional factors, as well as the role of autophagy, ferroptosis, sex differences, and modifications in the circadian cycle. Such mechanisms can add significantly to understanding the complex etiological puzzle of neuroinflammation and ND. In addition, they could represent biomarkers and targets of ND, which is increasing in the elderly.

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Section: Discussionmentioning

confidence: 99%

Neuroinflammation and Neurodegenerative Diseases: How Much Do We Still Not Know?

Balistreri,

Monastero

2023

Brain Sciences

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“…ERG (Table 2) is a transcription factor involved in hematopoiesis and endothelial cell development. While its direct role in MS is not yet fully understood, ERG has been implicated in endothelial cell dysfunction and angiogenesis, processes that can contribute to immune cell in ltration and in ammation within the CNS in MS. Further research is needed to uncover the speci c involvement of ERG in MS pathogenesis (53). By investigating the factors associated with early mortality in MS, we aim to provide valuable information to clinicians, researchers, and healthcare providers.…”

Section: Discussionmentioning

confidence: 99%

Unveiling the Molecular Landscape: Network Analysis of Genes, Proteins, and Transcription Factors in Primary Progressive and Secondary Progressive Multiple Sclerosis for Unraveling Disease Progression and Prognostic Factors

Sharifi

Radak

Mohamadi

et al. 2023

Preprint

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Multiple sclerosis (MS) is a chronic autoimmune disease characterized by the destruction of the myelin sheath in the central nervous system (CNS), leading to various neurological symptoms. The disease has different types, including relapsing-remitting MS (RRMS), secondary progressive MS (SPMS), primary progressive MS (PPMS), and progressive-relapsing MS (PRMS), each with its own clinical characteristics and prognosis. The exact cause of MS is not known, but it is believed to result from a complex interaction between genetic and environmental factors. This study offers a comprehensive analysis of individuals with varying disease durations in multiple sclerosis, comparing those who experienced earlier mortality with those who lived longer. By elucidating the factors influencing disease progression and severity, we anticipate that our findings will contribute to the advancement of knowledge in the field, with the potential to inform future research and clinical practices aimed at improving patient outcomes in MS. In this study, we used microarray data from postmortem brain tissue samples available from NCBI and used a system biology approach to identify differentially expressed genes (DEGs) associated with PPMS and SPMS. We performed protein-protein interaction (PPI) network analysis to identify common proteins and modules involved in the pathogenesis of the two diseases. Additionally, we analyzed the interaction between transcription factors (TFs) and DEGs to identify potential regulatory mechanisms. Furthermore, gene ontology analysis was conducted to investigate the biological processes and pathways affected by the DEGs. Our analysis identified a total of 153 common DEGs between PPMS and SPMS. These DEGs were involved in various biological processes such as cell adhesion, regulation of apoptotic process, inflammatory response, and protein phosphorylation. The PPI network analysis revealed key proteins, including MSN, ROS1, CD4, and NR4A1, which may play important roles in the pathogenesis of both diseases. We also identified TFs that interacted with the DEGs, highlighting their potential regulatory roles. Our study provides insights into the molecular mechanisms underlying PPMS and SPMS. By identifying common DEGs, PPIs, and TFs, we contribute to the understanding of shared pathways and potential therapeutic targets for these neurodegenerative disorders. Further research is warranted to validate and explore the functional significance of these findings.

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“…So far, many efforts have been conducted to study the genetic architecture of MS in different populations like Iran. 4,[12][13][14][15] http://ijnl.tums.ac.ir 04 April However, these attempts have only been able to identify a small proportion of the causes of disease, highlighting the need to assess non-genetic factors as well as the interplay between environmental and genetic factors. In addition, genetic effect alone does not justify the low MS concordance rate between monozygotic twins.…”

Section: Discussionmentioning

confidence: 99%

DNMT3B-579G>T (rs1569686G>T) polymorphism and the risk of multiple sclerosis in a subset of Iranian population

Yazdanpanahi

Etemadifar

Shams

2019

CJN

Self Cite

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Background: Deoxyribonucleic acid (DNA) methyltransferase 3 beta (DNMT3B) gene encodes an MT enzyme involving in de novo methylation of DNA. The present investigation aimed to explore the association of DNMT3B-579G>T (rs1569686) polymorphism with multiple sclerosis (MS). Methods: 130 Iranian patients with MS and 130 controls were genotyped for the DNMT3B-579G>T using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Results: There was no statistically significant association between DNMT3B-579G>T and susceptibility to MS. The alleles and genotypes of DNMT3B-579G>T did not have different risks of MS development under various models [T vs. G (P = 0.86); GTvs. GG (P = 0.48); TT vs. GG (P > 0.99); GT+TT vs. GG (P = 0.60), and TT vs. GG+GT (P = 0.87)]. Also, there was no statistically significant association between genotypes and clinical and demographic characteristics of patients (P > 0.05). Conclusion: The current findings suggest that DNMT3B-579G>T is probably not a crucial potential risk marker in molecular diagnostics of MS among Iranian. However, to the best of our knowledge, this is the ﬁrst genetic association study about the DNMT3B polymorphisms and MS. Therefore, further surveys should be included to estimate the exact relevance of DNMT3B gene to the development of autoimmune disorders like MS.

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Investigation of ERG Gene Expression in Iranian Patients with Multiple Sclerosis

Cited by 4 publications

References 31 publications

Neuroinflammation and Neurodegenerative Diseases: How Much Do We Still Not Know?

Neuroinflammation and Neurodegenerative Diseases: How Much Do We Still Not Know?

Unveiling the Molecular Landscape: Network Analysis of Genes, Proteins, and Transcription Factors in Primary Progressive and Secondary Progressive Multiple Sclerosis for Unraveling Disease Progression and Prognostic Factors

DNMT3B-579G>T (rs1569686G>T) polymorphism and the risk of multiple sclerosis in a subset of Iranian population

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