Notes

Bona Fide Tumor Suppressant Body's genes Hypermethylated inside Cancer malignancy: A story Assessment.
These data suggest an anti-inflammatory effect of fluoxetine in MS by modulating pro-inflammatory cytokines production by dendritic cells. This effect could be mediate by activation of 5-HT
-receptors.
These data suggest an anti-inflammatory effect of fluoxetine in MS by modulating pro-inflammatory cytokines production by dendritic cells. This effect could be mediate by activation of 5-HT2B-receptors.Multiple sclerosis (MS) is often accompanied by a deficiency of vitamin D, the causes of which are not exactly clear how. It is suggested that this may be due to genetically determined characteristics of enzymes of vitamin D3 metabolism in patients with MS.
To evaluate the relationship between vitamin D status and polymorphisms of the genes encoding enzymes of the vitamin D metabolism
(rs703842) and
(rs2248359) in patients with MS.

Caucasians born and living in the Altai region of the Russian Federation, 90 patients with relapsing-remitting MS and 87 volunteers without MS took part in the study. The level of 25-hydroxyvitamin D (25(OH)D) in the blood serum was measured by enzyme immunoassay. Genotyping was carried out using the TaqMan probe method.

A level of 25(OH)D of less than 30 ng/ml was more common among patients with MS compared with the control. A relationship between the MS risk and the TC genotype
(rs703842) was identified. CX-4945 inhibitor In patients with MS and in the control, the GA genotype
(rs2248359) was associated with a 25(OH)D level of less than 30 ng/ml.

The high prevalence of vitamin D deficiency in patients with MS may be associated with the genetically determined features of
.
The high prevalence of vitamin D deficiency in patients with MS may be associated with the genetically determined features of CYP27B1.
Our aim was to analyse the association with multiple sclerosis of the genetic markers of autoimmune disorders identified in genome-wide association studies in ethnically homogenous groups of Russians and Tatars residing in the Republic of Bashkortostan.

We performed genotyping of the genetic variants rs2069762 in
gene, rs759648 in
gene, rs1800682 in
gene and rs12708716 in
gene in the study group consisting of 1724 people (547 patients with multiple sclerosis, 1177 representatives of the control group). We analysed the association of the studied genetic markers with multiple sclerosis using logistic regression under additive genetic model implemented in PLINK program with sex a covariate.

In the group of Tatars, we detected an association of
rs759648*Callele with multiple sclerosis (OR=1.42,
=0,023). Meta-analysis of the study results in the two ethnic groups we confirmed the association of the
rs759648*C allele with the disease (random effects model and fixed effect model OR=1.29,
=0,018).

Our results provide an evidence of an association between multiple sclerosis and the
rs759648 allele in the populations of Russian and Tatars from the Republic of Bashkortostan. No association with any other studied polymorphic variant was found in the two ethnic groups.
Our results provide an evidence of an association between multiple sclerosis and the PVT1 rs759648 allele in the populations of Russian and Tatars from the Republic of Bashkortostan. No association with any other studied polymorphic variant was found in the two ethnic groups.
To compare the epidemiological indicators of multiple sclerosis (MS) in Yaroslavl when comparing the 1999 and 2019 registers to study the pathomorphism of the disease in this territory.

During the work, the data of the 1999 and 2019 registers were used, including the age of the debut, the date of diagnosis, the form of the disease, clinical characteristics, the treatment received and its duration. In 1999, 257 patients living in the city of Yaroslavl (155 women and 102 men) were included in the MS registry with a reliable diagnosis of MS according to Poser's criteria with confirmation according to neuroimaging data. In 2019, 479 people living in the territory of Yaroslavl (342 women and 137 men) were included in the register with a diagnosis of MS based on the criteria of MacDonald 2005, 2010, 2017. As of 01.01.19, 970 patients (530 women and 440 men) were included in the patient register of the Yaroslavl region.

Clinical and epidemiological review of Yaroslavl MS Registry data in 1999 and 2019 showed significant changes in disease pattern. The prevalence rate increased from 42.6 to 78.5 cases per 100,000 people. The morbidity rate rose from 1.58 to 3.28 cases per 100,000 people. The reasons for the increase are improvement in the diagnostic quality, new diagnostic criteria and the true growth of prevalence and morbidity. The use of disease modifying drugs (DMDs) has extended «the time to EDSS 3,0» by 4 years, «the time to EDSS 6,0» by 5-8 years.
Clinical and epidemiological review of Yaroslavl MS Registry data in 1999 and 2019 showed significant changes in disease pattern. The prevalence rate increased from 42.6 to 78.5 cases per 100,000 people. The morbidity rate rose from 1.58 to 3.28 cases per 100,000 people. The reasons for the increase are improvement in the diagnostic quality, new diagnostic criteria and the true growth of prevalence and morbidity. The use of disease modifying drugs (DMDs) has extended «the time to EDSS 3,0» by 4 years, «the time to EDSS 6,0» by 5-8 years.Diagnosis of secondary progressive multiple sclerosis (SPMS) is based on a history of gradual worsening of neurological symptoms within 6-12 months without exacerbations following an initial relapsing-remitting (RRMS) disease course. In the absence of reliable MRI, immunological and clinical markers, it is hardly possible to achieve objectivity in determining the transition of MS to a progressive stage. This often leads to a long period of diagnostic uncertainty, which prevents timely therapeutic decisions. Physicians expressed an unmet need for a tool that could be used in routine clinical practice to assess the risks of progression to SPMS quickly and reliably, in an easy-to-interpret output for a joint discussion with the patient. From a wide range of disease symptoms and lifestyle factors reflecting the progression to SPMS and obtained by analysis of large clinical data (3294 cases) and a survey of patients and specialists, significant were identified and ranked by categories according to combined expert opinion.
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