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Updated: Nov 18, 2025

High-throughput Quantitative Real-time RT-PCR Assay for Determining Expression Profiles of Types I and III Interferon Subtypes
Published on: March 24, 2015
An interdependence between GAPVD1 gene polymorphism, expression level and response to interferon beta in patients
Bahareh Khademi1, Mehdi Khorrami2, Hormoz Ayromlou3
1Immunology research center, Tabriz University of medical science, Tabriz, Iran; Department of Medical Genetics, Faculty of Medicine, Tabriz university of Medical Sciences, Tabriz, Iran.
Genetic factors influence multiple sclerosis (MS) treatment response. This study found that GAPVD1 gene expression and the rs2291858 variant likely impact how patients respond to interferon-beta (IFN-β) therapy.
Area of Science:
- Neuroimmunology
- Pharmacogenetics
Background:
- Interferon-beta (IFN-β) is a first-line treatment for multiple sclerosis (MS).
- Patient genetic predisposition may influence therapeutic efficacy of IFN-β.
- Understanding genetic markers can personalize MS treatment.
Purpose of the Study:
- To investigate the association between GAPVD1 gene expression, the rs2291858 polymorphism, and patient response to IFN-β in multiple sclerosis.
- To identify potential biomarkers for predicting IFN-β treatment outcomes in MS patients.
Main Methods:
- Gene expression analysis of GAPVD1 in 100 responder and 100 non-responder MS patients treated with IFN-β.
- Genotyping of the rs2291858 variant in 200 MS patients (responders and non-responders) and 200 healthy controls.
- Statistical analysis to compare gene expression levels and genotype distributions between groups.
Main Results:
- Significantly higher GAPVD1 expression was observed in IFN-β responder patients compared to non-responders.
- The distribution of the rs2291858 polymorphism differed significantly between responder and non-responder groups.
- The AA genotype of rs2291858 showed higher GAPVD1 expression in responders than in other genotypes across both groups.
Conclusions:
- GAPVD1 gene expression levels and the rs2291858 genotype are likely factors influencing IFN-β treatment response in multiple sclerosis.
- These findings suggest potential genetic biomarkers for predicting therapeutic outcomes in MS patients.
- Further research is warranted to validate these genetic associations for clinical application.
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