Koch Marcus W, George Suzanne, Wall Winona, Wee Yong V, Metz Luanne M
Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.
J Neurol Sci. 2015 Mar 15;350(1-2):46-50. doi: 10.1016/j.jns.2015.02.009. Epub 2015 Feb 11.
Previous studies suggested that serum neuron specific enolase (NSE) may be a biomarker associated with progression in MS.
We measured serum NSE levels in 385 patients with multiple sclerosis (MS) (264 with relapsing-remitting (RR) MS, 86 with secondary progressive (SP) MS, and 35 with primary progressive (PP) MS), and compared levels between disease courses, between users and non-users of immunomodulatory treatment, and between patients with worsening or stable disability at one year follow-up (available in 161 patients). We also investigated the correlation between serum NSE and Expanded Disability Status Scale (EDSS) and MS Severity Score (MSSS) scores in the whole cohort and in subgroups, and built a multiple linear regression model to assess the influence of predictor variables on serum NSE.
Age was the only independent predictor of serum NSE levels in the multiple linear regression model. In the subgroup of patients with PPMS, there was a moderate correlation between serum NSE and increasing MSSS (Pearson's r 0.35, p=0.04) and EDSS (Spearman's rho 0.37, p=0.03) scores.
Our data do not support the use of serum NSE as a prognostic biomarker in RRMS or SPMS. The correlations of serum NSE with EDSS and MSSS in the PPMS subgroup are interesting, but based on a small sample size and require replication in other cohorts.
既往研究表明,血清神经元特异性烯醇化酶(NSE)可能是与多发性硬化症(MS)病情进展相关的生物标志物。
我们测定了385例多发性硬化症(MS)患者的血清NSE水平(264例复发缓解型(RR)MS患者、86例继发进展型(SP)MS患者和35例原发进展型(PP)MS患者),并比较了不同病程、免疫调节治疗使用者与非使用者之间以及在一年随访时残疾恶化或稳定的患者(161例患者的数据可用)之间的NSE水平。我们还研究了整个队列和亚组中血清NSE与扩展残疾状态量表(EDSS)和MS严重程度评分(MSSS)之间的相关性,并建立了多元线性回归模型以评估预测变量对血清NSE的影响。
在多元线性回归模型中,年龄是血清NSE水平的唯一独立预测因素。在PPMS患者亚组中,血清NSE与MSSS升高(Pearson相关系数r = 0.35,p = 0.04)和EDSS(Spearman秩相关系数rho = 0.37,p = 0.03)评分之间存在中度相关性。
我们的数据不支持将血清NSE用作RRMS或SPMS的预后生物标志物。PPMS亚组中血清NSE与EDSS和MSSS之间的相关性很有意思,但基于样本量较小,需要在其他队列中进行重复验证。