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一种区分多发性硬化症亚组的新方法。

A Novel Approach to Discriminate Subgroups in Multiple Sclerosis.

作者信息

Farrokhi Mehrdad, Saadatpour Zahra, Fadaee Elyas, Saadatpour Leila, Rezaei Ali, Moeini Pedram, Amani Beni Ali

机构信息

Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Department of Radiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

出版信息

Iran J Allergy Asthma Immunol. 2016 Dec;15(6):536-546.

Abstract

Multiple sclerosis (MS) is an autoimmune disease of central nervous system. Since different types of immune cells are involved in MS pathogenesis, in this study we aimed to evaluate serum levels of several immunological components including soluble CD4 (sCD4), sCD8, sCD163, and immunoglobulins as markers of activity of T-cells, macrophages, and B-cells in different types of MS. Serum levels of sCD4, sCD8, and sCD163 of patients with relapsing-remitting MS (RRMS, n=61), primary progressive MS (PRMS, n=31), secondary progressive MS (SPMS, n=31), clinical isolated syndrome (CIS, n=31) and neuromyelitis optica (NMO, n=31), and healthy controls (n=49) were measured using enzyme-linked immunosorbent assay (ELISA). Serum levels of Ig-G, Ig-M, and Ig-A were determined using nephelometric technique. Serum levels of sCD4, sCD8, sCD163, Ig-G, Ig-M, and Ig-A were significantly different in five groups of cases (p<0.05). Furthermore, application of stepwise method of discriminant analysis yielded 4 significant discriminant functions of classification due to the presence of six levels of categorical variables in the analysis. The most important function explained 85.5% of the total variance with the correlation value of 0.79. Taken together, our preliminary analysis suggests that although we found some functions to discriminate most of the patients, further studies will be required to individuate immunological markers characterizing the different type of MS including RRMS, PPMS, SPMS, CIS and NMO as proved by the data on sCD4, sCD163, Ig-M, and Ig-G in blood.

摘要

多发性硬化症(MS)是一种中枢神经系统的自身免疫性疾病。由于不同类型的免疫细胞参与了MS的发病机制,在本研究中,我们旨在评估几种免疫成分的血清水平,包括可溶性CD4(sCD4)、sCD8、sCD163和免疫球蛋白,作为不同类型MS中T细胞、巨噬细胞和B细胞活性的标志物。采用酶联免疫吸附测定(ELISA)法检测复发缓解型MS(RRMS,n = 61)、原发进展型MS(PRMS,n = 31)、继发进展型MS(SPMS,n = 31)、临床孤立综合征(CIS,n = 31)和视神经脊髓炎(NMO,n = 31)患者以及健康对照者(n = 49)的血清sCD4、sCD8和sCD163水平。采用散射比浊法测定血清Ig-G、Ig-M和Ig-A水平。五组病例的血清sCD4、sCD8、sCD163、Ig-G、Ig-M和Ig-A水平存在显著差异(p<0.05)。此外,由于分析中存在六个分类变量水平,应用逐步判别分析法产生了4个显著的分类判别函数。最重要的函数解释了总方差的85.5%,相关值为0.79。综上所述,我们的初步分析表明,尽管我们发现了一些函数可以区分大多数患者,但仍需要进一步研究来确定表征不同类型MS(包括RRMS、PPMS、SPMS、CIS和NMO)的免疫标志物,血液中sCD4、sCD163、Ig-M和Ig-G的数据证明了这一点。

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