Yiannoutsos Constantin T, Ernst Thomas, Chang Linda, Lee P Lani, Richards Todd, Marra Christina M, Meyerhoff Dieter J, Jarvik Jeffrey G, Kolson Dennis, Schifitto Giovanni, Ellis Ronald J, Swindells Susan, Simpson David M, Miller Eric N, Gonzalez R Gilberto, Navia Bradford A
Division of Biostatistics, Indiana University School of Medicine, 1050 Wishard Boulevard, RG 4101, Indianapolis, IN 46202, USA.
Neuroimage. 2004 Nov;23(3):928-35. doi: 10.1016/j.neuroimage.2004.07.033.
The relationship of the cellular changes in the HIV-infected brain to the onset and progression of AIDS dementia complex (ADC) remains uncertain. We undertook an in vivo proton magnetic resonance spectroscopy (MRS) study and used factor analysis to identify specific cellular and regional brain changes that may serve as metabolic markers of ADC. The ratio of N-acetyl aspartate (NAA), choline (Cho), and myoinositol (MI) over creatine (Cr), markers of neuronal and glial cell metabolism, were measured in the basal ganglia, centrum semiovale, and parietal cortex from 100 subjects with and without ADC. Three metabolic patterns were identified, which we termed "inflammatory" (mainly MI/Cr elevations in all three regions plus Cho/Cr increases in the centrum semiovale and parietal cortex), "basal ganglia" (mostly NAA/Cr and Cho/Cr elevations in the basal ganglia), and "neuronal" (primarily NAA/Cr reductions in the centrum semiovale and the parietal cortex). Logistic regression analysis revealed that, adjusted for age, basal ganglia and neuronal pattern scores were strongly associated with ADC but inflammatory levels were not. We conclude that by using factor analysis, we are able to combine multiple metabolites across brain regions in a biologically plausible manner and construct a predictive model of ADC adjusting for relevant factors such as age.
人类免疫缺陷病毒(HIV)感染的大脑中细胞变化与艾滋病痴呆综合征(ADC)的发病及进展之间的关系仍不明确。我们进行了一项体内质子磁共振波谱(MRS)研究,并运用因子分析来识别特定的细胞和脑区变化,这些变化可能作为ADC的代谢标志物。在100名有或无ADC的受试者的基底神经节、半卵圆中心和顶叶皮质中,测量了神经元和胶质细胞代谢标志物N-乙酰天门冬氨酸(NAA)、胆碱(Cho)、肌醇(MI)与肌酸(Cr)的比率。识别出了三种代谢模式,我们将其称为“炎症性”(所有三个区域主要是MI/Cr升高,加上半卵圆中心和顶叶皮质中Cho/Cr增加)、“基底神经节性”(主要是基底神经节中NAA/Cr和Cho/Cr升高)和“神经元性”(主要是半卵圆中心和顶叶皮质中NAA/Cr降低)。逻辑回归分析显示,校正年龄后,基底神经节和神经元模式评分与ADC密切相关,但炎症水平与ADC无关。我们得出结论,通过使用因子分析,我们能够以生物学上合理的方式整合跨脑区的多种代谢物,并构建一个针对年龄等相关因素进行校正的ADC预测模型。
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