基于金属代谢的阿尔茨海默症生物标志物筛选
Screening for Alzheimer’s Disease Biomarkers Based on Metal Metabolism
DOI: 10.12677/hjbm.2025.156122, PDF,    科研立项经费支持
作者: 黄丹丹, 黄沙沙, 高韵涵, 尹琳茜, 潘李俊, 徐 微*:嘉兴南湖学院新材料工程学院,浙江 嘉兴
关键词: 阿尔茨海默症金属代谢生物标志物GEOAlzheimer’s Disease Metal Metabolism Biomarkers GEO
摘要: 阿尔茨海默症是一种复杂的神经退行性疾病,铜、铁和锌的代谢异常与该疾病的发生和发展密切相关。本研究基于GEO和GeneCards公共数据库,筛选得到针对该疾病的24个与金属代谢相关的差异表达基因,并通过GO和KEGG富集分析发现这些基因大多与细胞的能量物质代谢密切相关。通过构建蛋白–蛋白互作网络筛选出其中7个枢纽基因,进而根据诊断ROC曲线确定其中5个基因(GOT1、GPILDHASDHBUQCRFS1)具有潜在的诊断价值,并利用其构建了多基因联合诊断模型。
Abstract: Alzheimer’s disease (AD) is a complex neurodegenerative disorder where abnormal copper, iron, and zinc metabolism plays a key role in its development. Our study screened 24 AD-related metal metabolism genes using GEO and GeneCards databases, revealing through GO and KEGG enrichment analyses that most of these genes are closely associated with cellular energy metabolism. By constructing a protein-protein interaction network, we identified seven hub genes. Using diagnostic ROC curves, we determined five genes (GOT1, GPI, LDHA, SDHB, and UQCRFS1) with potential diagnostic value, which were then integrated into a multi-gene diagnostic model.
文章引用:黄丹丹, 黄沙沙, 高韵涵, 尹琳茜, 潘李俊, 徐微. 基于金属代谢的阿尔茨海默症生物标志物筛选[J]. 生物医学, 2025, 15(6): 1132-1142. https://doi.org/10.12677/hjbm.2025.156122

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