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构建和验证一种基于生物信息学的查 cuproptosis 相关基因和阿尔茨海默病风险模型
Rui Hu1, Zhen Xiao1, Mingyu Qiao1
1College of Basic Medical Sciences, Youjiang Medical University For Nationalities, Baise, Guangxi 533000, P.R. China.
Molecular medicine reports
|September 2, 2024
概括
核心cuproptosis基因 (CRGs) 在阿尔茨海默氏症 (AD) 中表现出改变. 这些CRG可以作为生物标志物用于诊断和监测AD进展.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 遗传学 是一个
- 生物标志物发现发现
背景情况:
- 阿尔茨海默病 (AD) 构成了全球重大健康挑战.
- 确定AD诊断和预后的可靠生物标志物至关重要.
研究的目的:
- 为了验证核心cuproptosis基因 (CRGs) 和AD之间的关联.
- 通过CRG开发和验证使用AD的预测风险模型.
主要方法:
- 人类时大脑样本的生物信息分析 (GSE109887,GSE33000).
- 权重基因共同表达网络分析和机器学习用于模型开发.
- 实验验证使用细胞 (SH-SY5Y) 和动物 (Sprague-Dawley大鼠) 模型与RT-qPCR和西式涂抹.
主要成果:
- 在AD模型中确定了具有改变mRNA和蛋白质表达的特定CRG.
- 证实了5个CRG与AD之间的关联,使患者与健康个体有所区别.
- 证明CRG的变化会影响免疫细胞的聚合和透.
结论:
- 核心cuproptosis基因与阿尔茨海默病有显著的关联.
- 经过验证的CRG显示,它们有可能成为AD的诊断和预后生物标志物.
- 开发的风险预测模型和名图显示了AD的准确性和有效性.
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