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Identifying clinical response to B-interferon in multiple sclerosis patients

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Year: 2019
COI code: MSC16_061
Paper Language: English

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Authors Identifying clinical response to B-interferon in multiple sclerosis patients

  Mahbubeh Rojhannezhad - PhD student of genetics department of genetics, Faculty of biological sciences, Tarbiat modares university
  Abdorreza Naser Moghadasi - Tehran University of Medical Sciences, Department of Neurology
Abbas Nikravesh - Department of Medical Biotechnology & Molecular Sciences, Faculty of Medicine, Bojnord University
  Mehrdad Behmanesh - Department of genetics, Faculty of biological sciences, Tarbiat modares university

Abstract:

Background and Objective: Multiple sclerosis (MS) is a chronic disease that involves an immune-mediated process in which an abnormal response of the body’s immune system is directed against the central nervous system (CNS). β-interferon (βIFN) is one of the first major therapies to control exacerbations in MS but it is only partially effective. Several Studies aim to identify molecular signature of βIFN clinical response in MS patients and also biomarkers that allow early identification of treatment failure or ideally even predict non-responder status. Materials and Methods: In this study we have reviewed several studies and analyzed microarray data (GSE5574) investigating gene expression patterns from longitudinal PBMC samples taken from patients prior to βIFN therapy and chronic post-treatment.Results and Conclusion: Analysis of the data showed that, not surprisingly genes related to pathways like interferon signaling, cytokine signaling and immune response are differentially expressed. Type I IFN-signalling pathway was the most significantly associated with the non-responder phenotype. Interferons (IFNs) are inducible cytokines with potent antiviral and anti-proliferative effects. In several autoimmune disorders such as rheumatoid arthritis, Sjögren s syndrome and also in a subgroup of MS patients (RRMS) IFN type I gene expression has been reported to be upregulated. Therefor it seems that common etiological factors and pathogenetic pathways operate in these autoimmune disorders. To validate this pathway as a prediction marker for βIFN clinical response further data analysis is needed.

Keywords:

multiple sclerosis, β-interferon , clinical response

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COI code: MSC16_061

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Rojhannezhad, Mahbubeh; Abdorreza Naser Moghadasi; Abbas Nikravesh & Mehrdad Behmanesh, 2019, Identifying clinical response to B-interferon in multiple sclerosis patients, 16th iranian international congress on multiple sclerosis, مشهد, انجمن ام اس ايران, https://www.civilica.com/Paper-MSC16-MSC16_061.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Rojhannezhad, Mahbubeh; Abdorreza Naser Moghadasi; Abbas Nikravesh & Mehrdad Behmanesh, 2019)
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Paper No.: 25985
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