Center for Experimental Neurological Therapies, S. Andrea Hospital, II Faculty of Medicine, Sapienza University of Rome, Via di Grottarossa 1035-1039, 00189 Rome, Italy.
Neurology. 2011 Feb 8;76(6):549-55. doi: 10.1212/WNL.0b013e31820af7de.
Metals are suspected of being involved in the pathogenesis of various neurologic diseases. We previously found a complex imbalance in serum chemical elements and oxidative status in patients with clinically definite multiple sclerosis (CDMS).
To understand whether this imbalance affects people with clinically isolated syndrome (CIS) and, if so, whether it predicts conversion to CDMS.
We studied 22 chemical elements and the oxidative status in 49 patients with CIS, 49 patients with CDMS, and 49 healthy donors (HD). Univariate and multivariate approaches were used to identify profiles for each group. A logistic regression analysis was used to identify the predictive potential of baseline data (elements, oxidative status, and MRI findings) for conversion to CDMS over 36 months.
Several elements and oxidative status values differed significantly among the 3 groups. Discriminant analysis revealed a major contribution of Ca, Fe, Sn, Zn, serum antioxidant capacity, and serum oxidative status, which resulted in distinct profiles (the prediction of group membership was 96% [cross-validated 92%] for HD, 92% [cross-validated 92%] for CDMS, and 90% [cross-validated 86%] for CIS). A weighted combination of element concentrations and oxidative status values, adjusting for all other predictors, would predict a reduction in the risk of conversion to CDMS within 3 years (odds ratio 0.37; 95% confidence interval 0.18-0.76; p = 0.007), thereby proving more effective than MRI at baseline.
The peculiar imbalance in serum elements and oxidative status that characterizes patients with CIS and may predict conversion to CDMS warrants studies on larger sample sizes.
金属被怀疑参与了各种神经疾病的发病机制。我们之前发现,在临床上明确的多发性硬化症(CDMS)患者的血清化学元素和氧化状态存在复杂的失衡。
了解这种失衡是否影响到临床上孤立综合征(CIS)患者,如果是,它是否可以预测向 CDMS 的转化。
我们研究了 49 例 CIS 患者、49 例 CDMS 患者和 49 名健康对照者(HD)的 22 种化学元素和氧化状态。采用单变量和多变量方法来确定每个组的特征。使用逻辑回归分析来确定基线数据(元素、氧化状态和 MRI 发现)对 36 个月内转化为 CDMS 的预测潜力。
三组之间有几个元素和氧化状态值有显著差异。判别分析显示 Ca、Fe、Sn、Zn、血清抗氧化能力和血清氧化状态的主要贡献,导致了不同的特征(HD 的组内成员预测准确率为 96%[交叉验证 92%],CDMS 为 92%[交叉验证 92%],CIS 为 90%[交叉验证 86%])。通过加权组合元素浓度和氧化状态值,调整所有其他预测因子,可以预测在 3 年内向 CDMS 转化的风险降低(优势比 0.37;95%置信区间 0.18-0.76;p=0.007),这比基线时的 MRI 更有效。
CIS 患者血清元素和氧化状态的特殊失衡特征可能预测向 CDMS 的转化,值得在更大的样本量上进行研究。