Peripheral blood lymphocytes immunophenotyping predicts disease activity in clinically isolated syndrome patients.
Peripheral blood lymphocytes immunophenotyping predicts disease activity in clinically isolated syndrome patients.
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DOI：
10.1186/s12883-017-0915-1
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发表时间：
2017-07-28
期刊：
影响因子：
2.6
通讯作者：
Havrdová E
中科院分区：
文献类型：
--
作者：
Posová H;Horáková D;Čapek V;Uher T;Hrušková Z;Havrdová E
临床孤立综合征（CIS）是中枢神经系统（CNS）脱髓鞘病变的首发神经系统症状。目前，没有足够的免疫学或遗传学标志物预测复发和残疾进展，也没有证据表明已注册的疾病修饰治疗（DMT）的疗效，如肌内干扰素β 1 a。该研究的目的是评估复发或残疾进展的免疫学预测因子。181例CIS患者接受干扰素β 1a治疗并随访4年。流式细胞术分析淋巴细胞亚群。生存概率的Kaplan-Meier估计用于分析预后。对于统计评估，仅分析了基线值与复发或确认残疾进展时的值之间的个体差异。较高水平的B淋巴细胞预测无复发状态。另一方面，在12、24和36个月的随访后，幼稚细胞亚群（CD 4+中的CD 45 RA+）的减少与确认残疾进展的风险增加相关。结论：我们的数据表明，淋巴细胞亚群的定量后，第一次脱髓鞘事件提示MS患者可能是一个重要的生物标志物。
Clinically isolated syndrome (CIS) represents first neurological symptoms suggestive of demyelinating lesion in the central nervous system (CNS). Currently, there are no sufficient immunological or genetic markers predicting relapse and disability progression, nor there is evidence of the efficacy of registered disease modifying treatments (DMTs), such as intramuscular interferon beta1a. The aim of the study is to evaluate immunological predictors of a relapse or disability progression. One hundred and eighty one patients with CIS were treated with interferon beta1a and followed over the period of 4 years. Lymphocyte subsets were analyzed by flow cytometry. A Kaplan-Meier estimator of survival probability was used to analyze prognosis. For statistical assessment only individual differences between baseline values and values at the time of relapse or confirmed disability progression were analysed. Higher levels of B lymphocytes predicted relapse-free status. On the other hand, a decrease of the naïve subset of cells (CD45RA+ in CD4+) after 12, 24, and 36 months of follow-up were associated with an increased risk of confirmed disability progression. Conclusion: Our data suggest that the quantification of lymphocyte subsets in patients after the first demyelinating event suggestive of MS may be an important biomarker.
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影响因子：
3.7
作者：
Brettschneider J;Tumani H;Kiechle U;Muche R;Richards G;Lehmensiek V;Ludolph AC;Otto M
通讯作者：
Otto M
影响因子：
9.9
作者：
Brettschneider, J;Petzold, A;Tumani, H
通讯作者：
Tumani, H
DOI：
10.1073/pnas.0601335103
发表时间：
2006-04-11
影响因子：
11.1
作者：
Bielekova, B;Catalfamo, M;Martin, R
通讯作者：
Martin, R
影响因子：
2.5
作者：
Niino, Masaaki;Hirotani, Makoto;Sasaki, Hidenao
通讯作者：
Sasaki, Hidenao
影响因子：
8.6
作者：
Martinez-Rodriguez, J. E.;Lopez-Botet, M.;Comabella, M.
通讯作者：
Comabella, M.