where e = 2.7182818 - mathematical constant - base of natural logarithm, α0 = 2.386696717005736 - coefficient, α1 = -0.00276285111326 - coefficient, α2 = 0.00189985337763 - coefficient, α3 = -0.28206543500757 - coefficient, x1 - number of receptors TNFR2 on CD3+ T-lymphocytes, x2 - amount of TNFR1 on T-helper cells CD4+CD45R0+, x3 - percentage TNFR1 positive cells among naive T-helper cells CD4+CD45RA+. If value P ≥ 0.5 there is a probability of rheumatoid arthritis.;EFFECT: use of this method for mononuclear subpopulations estimation: TNFR1+TNFR2 cells, cells among naive T-helper cells and number of type 1 receptors on T-helper memory cells, as well as type 2 receptors on CD3+ T-cells enables distinguishing indicators of healthy donors and rheumatoid arthritis patients at an early stage.;3 cl, 2 tbl, 5 ex, 1 dwg"/> METHOD FOR EARLY DIAGNOSIS OF RHEUMATOID ARTHRITIS
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METHOD FOR EARLY DIAGNOSIS OF RHEUMATOID ARTHRITIS

机译:类风湿关节炎的早期诊断方法

摘要

FIELD: medicine.;SUBSTANCE: invention refers to medicine, namely to rheumatology, and can be used for early diagnosis of rheumatoid arthritis. Method consists in adding monoclonal antibodies to TNFRI, TNFR2, CD4, CD45R0, CD45RA, CD3 into a blood sample; peripheral blood mononuclear cells are analyzed by flow cytometry. CD3+--T-lymphocytes, naive T-helper cells (CD4+CD45RA+), T-helper memory cells (CD4+CD45R0+) are isolated by gating. Further, the TNFR1 and TNFR2 receptor expression values are determined by counting the number of receptors on the cells of the studied subpopulations, the percentage of cells carrying the TNFRI and TNFR2 receptors is determined in each selected subpopulation, after which based on parametric logistic regression model is calculated probability of presence of rheumatoid arthritis by formula; where e = 2.7182818 - mathematical constant - base of natural logarithm, α0 = 2.386696717005736 - coefficient, α1 = -0.00276285111326 - coefficient, α2 = 0.00189985337763 - coefficient, α3 = -0.28206543500757 - coefficient, x1 - number of receptors TNFR2 on CD3+ T-lymphocytes, x2 - amount of TNFR1 on T-helper cells CD4+CD45R0+, x3 - percentage TNFR1 positive cells among naive T-helper cells CD4+CD45RA+. If value P ≥ 0.5 there is a probability of rheumatoid arthritis.;EFFECT: use of this method for mononuclear subpopulations estimation: TNFR1+TNFR2 cells, cells among naive T-helper cells and number of type 1 receptors on T-helper memory cells, as well as type 2 receptors on CD3+ T-cells enables distinguishing indicators of healthy donors and rheumatoid arthritis patients at an early stage.;3 cl, 2 tbl, 5 ex, 1 dwg
机译:技术领域本发明涉及医学,即风湿病学,可用于风湿性关节炎的早期诊断。方法包括向血液样品中添加针对TNFRI,TNFR2,CD4,CD45R0,CD45RA,CD3的单克隆抗体;通过流式细胞仪分析外周血单核细胞。 CD3 +- -T淋巴细胞,幼稚T辅助细胞(CD4 + CD45RA + ),T辅助记忆细胞(CD4 + CD45R0 + )通过门控分离。此外,通过计数所研究亚群的细胞上受体的数目来确定TNFR1和TNFR2受体的表达值,在每个选定的亚群中确定携带TNFRI和TNFR2受体的细胞的百分比,然后基于参数对数回归模型通过公式计算出类风湿关节炎的发生概率; 其中e = 2.7182818-数学常数-自然对数的底数,α 0 < / Sub> = 2.386696717005736-系数,α 1 = -0.00276285111326-系数,α 2 = 0.00189985337763-系数,α 3 = -0.28206543500757-系数,x 1 -CD3 + T淋巴细胞上的TNFR2受体数目,x 2 -T辅助细胞CD4 < Sup> + CD45R0 + ,x 3 -原始T辅助细胞CD4 + CD45RA 中TNFR1阳性细胞的百分比+ 。如果值P≥0.5,则可能发生类风湿性关节炎。效果:使用此方法估算单核亚群:TNFR1 + TNFR2细胞,幼稚T辅助细胞中的细胞以及T辅助记忆细胞上的1型受体数量,以及CD3 + T细胞上的2型受体可以使健康的供体和类风湿关节炎患者在早期阶段获得区分指标; 3 cl,2 tbl,5 ex,1 dwg

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