Health Management Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530007, China.
Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530007, China.
Comput Math Methods Med. 2022 Aug 18;2022:3039248. doi: 10.1155/2022/3039248. eCollection 2022.
Neurodegenerative diseases such as Alzheimer's disease (AD) are an increasing public health challenge. There is an urgent need to shift the focus to accurate detection of clinical AD at the physical examination stage. The purpose of this study was to identify biomarkers for AD diagnosis. Differential expression analysis was performed on a dataset including prefrontal cortical samples and peripheral blood samples of AD to identify shared differentially expressed genes (DEGs) shared between the two datasets. In addition, a minimum absolute contraction and selection operator (LASSO) model based on shared-DEGs identified nine signature genes (MT1X, IGF1, DLEU7, TRIM36, PTPRC, WNK2, SPG20, C8orf59, and BRWD1) that accurately predict AD occurrence. Enrichment analysis showed that the signature gene was significantly associated with the AD-related p53 signaling pathway, T-cell receptor signaling pathway, HIF-1 signaling pathway, AMPK signaling pathway, and FoxO signaling pathway. Thus, our results identify not only biomarkers for diagnosing AD but also potentially specific pathways. The AD biomarkers proposed in this study could serve as indicators for prevention and diagnosis during physical examination.
神经退行性疾病，如阿尔茨海默病（AD），是一个日益严峻的公共健康挑战。目前迫切需要将重点转移到在体检阶段准确检测临床 AD 上。本研究旨在寻找 AD 诊断的生物标志物。对包括前额皮质样本和 AD 患者外周血样本的数据集进行差异表达分析，以确定两个数据集之间共享的差异表达基因（DEG）。此外，基于共享-DEG 的最小绝对收缩和选择算子（LASSO）模型鉴定出 9 个特征基因（MT1X、IGF1、DLEU7、TRIM36、PTPRC、WNK2、SPG20、C8orf59 和 BRWD1），它们可以准确预测 AD 的发生。富集分析表明，该特征基因与 AD 相关的 p53 信号通路、T 细胞受体信号通路、HIF-1 信号通路、AMPK 信号通路和 FoxO 信号通路显著相关。因此，我们的研究结果不仅确定了 AD 的生物标志物，还可能确定了特定的途径。本研究提出的 AD 生物标志物可作为体检时预防和诊断的指标。
