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Analysis of probable predictors of aggressive multiple sclerosis

https://doi.org/10.20538/1682-0363-2019-4-127-135

Abstract

Objective: to study the probable laboratory predictors of aggressive multiple sclerosis.

Materials and methods. Antibodies to myelin oligodendrocyte glycoprotein (MOG), antibodies to thyroperoxidase and markers of endothelial dysfunction in blood serum were determined in patients with multiple sclerosis (MS). These indicators were analyzed for different courses of the demyelinating process, for different severity of neurological disorders, and for various sizes of focal lesions on magnetic resonance images.

Results. In patients with aggressive multiple sclerosis, higher titers of antibodies to both myelin oligodendrocyte glycoprotein and thyroperoxidase were detected. A relationship between von Willebrand factor (vWf) and matrix metalloproteinase-9 (MMP-9) and the stage of multiple sclerosis was identified. A higher level of matrix metalloproteinase-9 was detected in MS patients with active foci of the disease on magnetic resonance images.

Conclusion. Thus, antibodies to myelin oligodendrocyte glycoprotein, antibodies to thyroperoxidase, the levels of von Willebrand factor, matrix metalloproteinase-9 and adhesion molecule sPECAM-1 can be used as laboratory predictors of the malignant course of multiple sclerosis. 

About the Authors

N. N. Spirin
Yaroslavl State Medical University
Russian Federation

DM, Professor, Head of Neurology Department, 

5, Revolutsionnaya Str., Yaroslavl, 150000



E. V. Kiseleva
Yaroslavl State Medical University
Russian Federation

PhD, Assistant, Neurology Department, 

5, Revolutsionnaya Str., Yaroslavl, 150000



N. N. Spirina
Yaroslavl State Medical University
Russian Federation

PhD, Assistant, Neurology Department, 

5, Revolutsionnaya Str., Yaroslavl, 150000



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Review

For citations:


Spirin N.N., Kiseleva E.V., Spirina N.N. Analysis of probable predictors of aggressive multiple sclerosis. Bulletin of Siberian Medicine. 2019;18(4):127-135. (In Russ.) https://doi.org/10.20538/1682-0363-2019-4-127-135

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ISSN 1682-0363 (Print)
ISSN 1819-3684 (Online)