Literature DB >> 31038186

Relationship between genetic polymorphisms MTHFR (C677T, A1298C), MTR (A2756G) and MTRR (A66G) genes and multiple sclerosis: a case-control study.

Suat Cakina, Ozgul Ocak, Adile Ozkan, Selma Yucel, Handan Isın Ozısık Karaman.   

Abstract

Recent studies have reported elevated plasma homocysteine and reduced folate and vitamin B levels in patients with multiple sclerosis (MS). In this study, we aimed to investigate the association between MS and the following four DNA polymorphisms: MTR A[2756]G, MTHFR C[677]T, MTHFR A[1298]C and MTRR A[66]G. The DNA polymorphisms were genotyped in 80 patients with confirmed MS and 80 healthy control age- and gender-matched subjects using PCR-RFLP approach. Our results show that the frequency of the T/T genotype homozygotes for the MTHFR C[677]T polymorphism was significantly higher in patients than in controls (p = 0.04, OR: 3.16, 95% CI: 1.23-8.17). In turn, the A/A genotype of the MTHFR A[1298]C polymorphism was more frequent in controls than in patients (41.3% vs. 32.5%, p = 0.04). There were no differences in distribution of genotypes for the MTR A[66]G and MTR A[2756]C polymorphisms between patients with MS and controls (p > 0.05). Our findings suggested that the MTHFR C[677]T and MTHFR A[1298]C gene polymorphisms might be associated with MS as genetic factors influencing the risk of the disease.

Entities:  

Keywords:  MTHFR gene; MTR gene; MTRR gene; multiple sclerosis; DNA polymorphism

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Year:  2019        PMID: 31038186     DOI: 10.5114/fn.2019.83829

Source DB:  PubMed          Journal:  Folia Neuropathol        ISSN: 1509-572X            Impact factor:   2.038


  2 in total

Review 1.  The potential roles of amino acids and their major derivatives in the management of multiple sclerosis.

Authors:  Somayeh Pashaei; Reza Yarani; Pantea Mohammadi; Mohammad Sajad Emami Aleagha
Journal:  Amino Acids       Date:  2022-04-26       Impact factor: 3.520

2.  Association between Genetic Polymorphisms in Methylenetetrahydrofolate Reductase and Risk of Autoimmune Diseases: A Systematic Review and Meta-Analysis.

Authors:  Mao Lu; Ke Peng; Li Song; Li Luo; Peng Liang; Yundan Liang
Journal:  Dis Markers       Date:  2022-05-31       Impact factor: 3.464

  2 in total

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