Department of NeuroRepair, Medical Research Center, Polish Academy of Science, Warsaw, Poland.
Stem Cells Dev. 2010 Jan;19(1):5-16. doi: 10.1089/scd.2009.0271.
The last decade has been marked by a growing interest in an employment of intravenous cell delivery for treatment of neurological disorders. Numerous preclinical experimental studies have reported functional benefits, and have recently been followed by clinical trials. Some early clinical studies have indicated only modest positive effects, suggesting that the optimal conditions have not been defined yet. Thus, the evaluation of factors that influence outcomes, on the level of the whole population of preclinical studies by advanced statistical analysis, is warranted. PubMed search was conducted from the inception through 2006, and 60 preclinical studies were found and subjected to analysis. Categorical and continuous independent variables (IVs) were extracted. Three distinct outcomes of interest were selected as dependent variables (DVs) and named treatment effects: morphological, behavioral, and molecular, respectively. Mean outcomes, standard deviations (SDs), and animal numbers were retrieved and calculated by individual comparisons of experimental and control groups, based on the Hedges g formula, and were expressed as effect sizes (ESs) and variances. Publication bias and homogeneity were evaluated. The mainspring analyses were performed under a random effect model using Proc Mixed (SAS, version 9.2). A significant heterogeneity and publication bias were found. The ES pooling revealed large treatment effects. Univariate and multivariate meta-regression revealed that cell-related variables explained most of the heterogeneity. Cells retrieved from established lines and genetic modification of cells warrants the highest efficiency, in a dose-dependent manner. The stratified analysis of molecular effect measures revealed that apoptosis inhibition is the strongest brain tissue-positive change induced by cell therapy.
过去十年,人们对静脉内细胞输送在治疗神经紊乱方面的应用越来越感兴趣。大量的临床前实验研究报告了其功能效益,最近又进行了临床试验。一些早期的临床研究仅表明了适度的积极效果,这表明最佳条件尚未确定。因此,有必要通过高级统计分析,评估对整个临床前研究人群有影响的因素,以了解结果。从创建到 2006 年进行了 PubMed 搜索,发现了 60 项临床前研究并进行了分析。提取了分类和连续的独立变量(IV)。选择了三个不同的感兴趣的结果作为因变量(DV),分别命名为治疗效果:形态、行为和分子。根据 Hedges g 公式,通过实验组和对照组的个体比较,检索并计算了平均值、标准差(SD)和动物数量,并表示为效果大小(ES)和方差。评估了发表偏倚和同质性。使用 Proc Mixed(SAS,版本 9.2)在随机效应模型下进行了主要分析。发现存在显著的异质性和发表偏倚。ES 汇集显示出很大的治疗效果。单变量和多变量荟萃回归表明,细胞相关变量解释了大部分的异质性。从已建立的细胞系中提取的细胞和细胞的遗传修饰以剂量依赖的方式保证了最高的效率。分子效应测量的分层分析表明,细胞治疗诱导的最强的脑组织阳性变化是细胞凋亡抑制。