Bielekova B, Kadom N, Fisher E, Jeffries N, Ohayon J, Richert N, Howard T, Bash C N, Frank J A, Stone L, Martin R, Cutter G, McFarland H F
Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892-1400, USA.
Neurology. 2005 Oct 11;65(7):1071-6. doi: 10.1212/01.wnl.0000178984.30534.f9.
Whereas recent data from imaging studies challenge the prevailing notion that multiple sclerosis (MS) is purely an inflammatory disease, pathologic studies suggest differences in the disease processes between individual patients with MS. The ability to dissect the pathophysiologic disease heterogeneity, if it indeed exists, by methodologies that can be applied in vivo is important both for the development of new therapeutics and for the ability to identify the optimal therapy for an individual patient.
To design a stratification algorithm for patients with MS based on accepted MRI measurements reflective of inflammation and axonal damage/tissue loss and to assess if such MS subgroups retain their intergroup differences long term.
Mathematical modeling was used to select three discriminatory MRI measures for clinical outcome based on the cross-sectional analysis of 71 patients with untreated MS and tested general applicability of the stratification scheme on the independent longitudinal cohort of 71 MS patients.
By consecutive employment of MRI measures reflective of inflammation and tissue loss, the authors were able to separate MS patients into four clinically meaningful subgroups. The analysis of the longitudinal confirmatory cohort demonstrated persistence of the intergroup differences in selected MRI measures for 8 years.
The inflammatory activity and destructiveness of the multiple sclerosis process are to some degree independent of each other, and the successive evaluation of both of these variables can strengthen prediction of clinical outcome in individual patients.
尽管影像学研究的最新数据对多发性硬化症(MS)纯粹是一种炎症性疾病这一普遍观念提出了挑战,但病理学研究表明,MS个体患者之间的疾病进程存在差异。若确实存在病理生理疾病异质性,能够通过可在体内应用的方法剖析这种异质性,对于新疗法的开发以及为个体患者确定最佳治疗方案的能力而言都很重要。
基于反映炎症和轴突损伤/组织损失的公认MRI测量值,为MS患者设计一种分层算法,并评估此类MS亚组是否长期保持组间差异。
基于对71例未经治疗的MS患者的横断面分析,使用数学建模选择三种用于临床结局的判别性MRI测量方法,并在71例MS患者的独立纵向队列中测试分层方案的一般适用性。
通过连续采用反映炎症和组织损失的MRI测量方法,作者能够将MS患者分为四个具有临床意义的亚组。对纵向验证队列的分析表明,所选MRI测量方法中的组间差异持续了8年。
多发性硬化症进程的炎症活动和破坏性在某种程度上相互独立,对这两个变量的连续评估可以加强对个体患者临床结局的预测。