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Information × Registration Number 0220U101031, 0117U002284 , R & D reports Title Improvement of methods of predicting the effectiveness of treatment in patients with multiple sclerosis by the immunological and genetic markers popup.stage_title Head Kolyada Tatiana I., Доктор медичних наук Registration Date 31-01-2020 Organization State Institution "I.Mechnikov Institute of Microbiology and Immunology National Academy of Medical Sciences of Ukraine" popup.description2 The results of the study demonstrate the theoretical and practical possibility of improving the assessment of the IFN-beta effectiveness in treatment of multiple sclerosis (MS). A new method is proposed for early assessment of the therapeutic effectiveness of IFN-beta in RMS, based on determining the dynamics of the intrathecal marker of immune activation sCD27 in the patient's cerebrospinal fluid before treatment and in the period 6-9 months after the start of therapy. Differences in the mechanisms of activation of monocytes mediated by stimulation of TLR4 and TLR7/8 were revealed in patients with RMS and progressive multiple sclerosis, which consist in an imbalance in the production of IL-1beta, IL-6 and IL-12p70. The dynamics of expression of CD80-, CD86- and PD-L1-positive monocytes of patients with RMS was studied. The patterns of expression of co-signal molecules, as well as the production of cytokines in groups of IFN-beta responders and non-responders in the dynamics of treatment are disclosed. A molecular genetic study of the carriage of the HLA-DRB1*1501-DQB1*0602 haplotype among patients in the north-eastern region of Ukraine was carried out. A method is proposed for determining the risk group for developing MS by determining the SNP rs9271366 A/G using allele-specific PCR. The results obtained are important for the implementation of clinically significant stratification of patients and will contribute to increasing the effectiveness of MS treatment Product Description popup.authors Bilozerov Oleksii P. Vdovochenko Natali I. Kolokolova Olga B. Kolyada Tatiana I. Kuchma Irina Yu. Serova Galina O. Tupotilov Alex V. Chudnova Tetiana M. popup.nrat_date 2020-04-02 Close