Health Management Center, Renji Hospital of Medical School, Shanghai Jiao Tong University, Shanghai 200127, China.
Department of Neurology, Renji Hospital of Medical School, Shanghai Jiao Tong University, Shanghai 200127, China.
Int J Mol Sci. 2024 Feb 14;25(4):2293. doi: 10.3390/ijms25042293.
Patients with Alzheimer's disease (AD) often present with imaging features indicative of small-vessel injury, among which, white-matter hyperintensities (WMHs) are the most prevalent. However, the underlying mechanism of the association between AD and small-vessel injury is still obscure. The aim of this study is to investigate the mechanism of small-vessel injury in AD. Differential gene expression analyses were conducted to identify the genes related to WMHs separately in mild cognitive impairment (MCI) and cognitively normal (CN) subjects from the ADNI database. The WMH-related genes identified in patients with MCI were considered to be associated with small-vessel injury in early AD. Functional enrichment analyses and a protein-protein interaction (PPI) network were performed to explore the pathway and hub genes related to the mechanism of small-vessel injury in MCI. Subsequently, the Boruta algorithm and support vector machine recursive feature elimination (SVM-RFE) algorithm were performed to identify feature-selection genes. Finally, the mechanism of small-vessel injury was analyzed in MCI from the immunological perspectives; the relationship of feature-selection genes with various immune cells and neuroimaging indices were also explored. Furthermore, 5×FAD mice were used to demonstrate the genes related to small-vessel injury. The results of the logistic regression analyses suggested that WMHs significantly contributed to MCI, the early stage of AD. A total of 276 genes were determined as WMH-related genes in patients with MCI, while 203 WMH-related genes were obtained in CN patients. Among them, only 15 genes overlapped and were thus identified as the crosstalk genes. By employing the Boruta and SVM-RFE algorithms, CD163, ALDH3B1, MIR22HG, DTX2, FOLR2, ALDH2, and ZNF23 were recognized as the feature-selection genes linked to small-vessel injury in MCI. After considering the results from the PPI network, CD163 was finally determined as the critical WMH-related gene in MCI. The expression of CD163 was correlated with fractional anisotropy (FA) values in regions that are vulnerable to small-vessel injury in AD. The immunostaining and RT-qPCR results from the verifying experiments demonstrated that the indicators of small-vessel injury presented in the cortical tissue of 5×FAD mice and related to the upregulation of CD163 expression. CD163 may be the most pivotal candidates related to small-vessel injury in early AD.
阿尔茨海默病(AD)患者常表现出与小血管损伤相关的影像学特征,其中最常见的是脑白质高信号(WMHs)。然而,AD 与小血管损伤之间的关联的潜在机制仍不清楚。本研究旨在探讨 AD 中小血管损伤的机制。我们分别对 ADNI 数据库中轻度认知障碍(MCI)和认知正常(CN)患者的 WMH 相关基因进行差异基因表达分析。将 MCI 患者中与 WMH 相关的基因视为与早期 AD 中小血管损伤相关的基因。进行功能富集分析和蛋白质-蛋白质相互作用(PPI)网络分析,以探讨与 MCI 中小血管损伤机制相关的途径和枢纽基因。随后,采用 Boruta 算法和支持向量机递归特征消除(SVM-RFE)算法来识别特征选择基因。最后,从免疫学角度分析 MCI 中小血管损伤的机制;还探讨了特征选择基因与各种免疫细胞和神经影像学指标的关系。此外,还使用 5×FAD 小鼠证明了与小血管损伤相关的基因。逻辑回归分析的结果表明,WMHs 对 MCI,即 AD 的早期阶段有显著贡献。在 MCI 患者中确定了 276 个与 WMH 相关的基因,而在 CN 患者中获得了 203 个与 WMH 相关的基因。其中,只有 15 个基因重叠,因此被确定为共话基因。通过采用 Boruta 和 SVM-RFE 算法,鉴定出 CD163、ALDH3B1、MIR22HG、DTX2、FOLR2、ALDH2 和 ZNF23 为与 MCI 中小血管损伤相关的特征选择基因。考虑到 PPI 网络的结果,最终确定 CD163 为 MCI 中关键的与 WMH 相关基因。CD163 的表达与 AD 中小血管损伤易损区域的各向异性分数(FA)值相关。验证实验的免疫染色和 RT-qPCR 结果表明,5×FAD 小鼠皮质组织中存在与 CD163 表达上调相关的小血管损伤指标。CD163 可能是与早期 AD 中小血管损伤最关键的候选基因。