Association between polymorphisms of cytokine genes and the rate of multiple sclerosis progression

Korobko D.S.; Kudriavtseva E.A.; Malkova N.A.; Filipenko M.L.

doi:https://doi.org/

Korobko D.S.

Oblastnoĭ tsentr rasseiannogo skleroza, Gosudarstvennaia novosibirskaia oblastnaia klinicheskaia bol'nitsa

Scopus AuthorID: 54789069500
ORCID: 0000-0002-7938-3782

Kudriavtseva E.A.

Malkova N.A.

Novosibirskiĭ okruzhnoĭ tsentr rasseiannogo skleroza

SPIN RSCI: 9185-2596
Scopus AuthorID: 12776382600
ORCID: 0000-0002-1255-8525

Filipenko M.L.

Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia;
Novosibirsk State University, Novosibirsk, Russia

Association between polymorphisms of cytokine genes and the rate of multiple sclerosis progression

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Korobko D.S., Kudriavtseva E.A., Malkova N.A., Filipenko M.L.

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Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2012;112(2‑2): 9‑15

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To cite this article:

Korobko DS, Kudriavtseva EA, Malkova NA, Filipenko ML. Association between polymorphisms of cytokine genes and the rate of multiple sclerosis progression. S.S. Korsakov Journal of Neurology and Psychiatry. 2012;112(2‑2):9‑15. (In Russ.)

Подписка 2026 Журнал неврологии и психиатрии им. С.С. Корсакова. Спецвыпуски (S.S. Korsakov Journal of Neurology and Psychiatry (special issues))

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Abstract:

A genetic predisposition due to the polygenic system responsible for the formation of immune response plays a key role in the development of multiple sclerosis. We genotyped the following polymorphisms: TNFα (rs1800629), TNFRSF1A (rs4149584), CD40 (rs6074022 and rs11086998) using TaqMan technology. The significant genotype effect on the disability index on EDSS and rate of MS progression was found. The association between GA and AA TNFα genotypes and higher average annual frequency of exacerbations was revealed. Genotypes CC (rs6074022) and GG (rs11086998) were associated with the higher disability level. Genotype CC (rs11086998) was associated with the higher rate of MS progression. The results may be used as potential predictors of high rate of MS progression and allow to tailor treatment on early stages of the disease.

Keywords:

multiple sclerosis

genetics

prediction