Department of Central Laboratory, The Fourth Affiliated Hospital of Jiangsu University, 20 Zhengdong Road, Zhenjiang, 212001, Jiangsu, People's Republic of China.
Jiangsu University, Zhenjiang, 212003, Jiangsu, People's Republic of China.
J Neurol. 2018 Aug;265(8):1844-1849. doi: 10.1007/s00415-018-8926-4. Epub 2018 Jun 14.
Although the FDA already has approved two types of drug therapies for Alzheimer's disease, in regard to moderate AD, there is no clear research to support the best choice of drug treatment. The goal of this study was to examine the levels of serum biomarkers in moderate-AD patients and to explore the value of these serum biomarkers for the diagnosis of memantine sensitivity in AD patients who are significantly affected by MEM. In our study, 177 patients with moderate AD were enrolled and divided into memantine-sensitive AD (n = 90) and memantine-insensitive AD (n = 87) groups. The sera from all patients were collected, and seven serum biomarkers were analysed. Then, 120 patients were used to establish a diagnostic model that was built with a binary logistic regression analysis, and 57 patients were used to validate our model. In addition, the area under the receiver operating characteristic (ROC) curve was established. From the seven serum biomarkers, the four serum biomarkers that were selected in to establish the regression model were VEGF, BDNF, IL-6 and IL-1β. The ROC curve of best combined detection was 0.899. The diagnostic ratio of the logistic model was 0.825. This study suggests that the logistic regression model (LRM) and the ROC curve based on patients' serum levels of VEGF, BDNF, IL-6 and IL-1β is a promising research for diagnosing and choosing the best course of treatment for moderate AD.
尽管 FDA 已经批准了两种用于治疗阿尔茨海默病的药物，但对于中度 AD，目前没有明确的研究支持药物治疗的最佳选择。本研究的目的是检查中度 AD 患者的血清生物标志物水平，并探讨这些血清生物标志物对 MEM 显著影响的 AD 患者中，美金刚敏感性的诊断价值。在我们的研究中，纳入了 177 名中度 AD 患者，并将其分为美金刚敏感 AD（n=90）和美金刚不敏感 AD（n=87）组。收集所有患者的血清，并分析了 7 种血清生物标志物。然后，我们使用 120 名患者建立了一个诊断模型，该模型使用二元逻辑回归分析构建，并使用 57 名患者验证了我们的模型。此外，还建立了接受者操作特征（ROC）曲线下的面积。从这 7 种血清生物标志物中，选择了 4 种用于建立回归模型的血清生物标志物，即 VEGF、BDNF、IL-6 和 IL-1β。最佳联合检测的 ROC 曲线为 0.899。逻辑模型的诊断率为 0.825。本研究表明，基于患者血清 VEGF、BDNF、IL-6 和 IL-1β 水平的逻辑回归模型（LRM）和 ROC 曲线是一种很有前途的研究方法，可用于诊断和选择中度 AD 的最佳治疗方案。
