一个用于识别与年龄相关疾病相关的细胞骨基因的计算框架
Reem A Elghaish1,2, Nayera E Attallah1,2, Hesham Khaled1,2
1University of Science and Technology, Zewail City of Science and Technology, Giza, 12578, Egypt.
Scientific reports
|April 26, 2025
概括
这项研究确定了17个关键的细胞骨基因,这些基因与阿尔茨海默氏症和心脏病等与年龄相关的疾病有关. 这些发现为这些疾病提供了潜在的新生物标志物和药物点.
科学领域:
- 细胞生物学 细胞生物学
- 遗传学 遗传学 是一个
- 生物标志物发现发现
背景情况:
- 细胞骨架是蛋白质丝的动态网络,对细胞结构和功能至关重要.
- 细胞骨动力学越来越多地与细胞信号传递,衰老和神经退行性疾病有关.
研究的目的:
- 在五种与年龄相关的疾病中调查细胞骨基因和调节者的转录变化.
- 为了识别潜在的生物标志物,用于高伤心肌病 (HCM),冠状动脉疾病 (CAD),阿尔茨海默病 (AD),异常扩展性心肌病 (IDCM) 和2型糖尿病 (T2DM).
主要方法:
- 利用结合机器学习模型和差异基因表达分析的整合方法.
- 采用多个机器学习算法,支持矢量机 (SVM) 展示了最高的准确性.
- 专注于识别与所选的年龄相关疾病相关的失调细胞骨基因.
主要成果:
- 确定了17个参与细胞骨结构和调节的特定基因,这些基因与与年龄相关的疾病有关.
- 突出了转录失调的细胞骨基因在这些疾病的发病过程中的重要作用.
- 证明了SVM在基于细胞骨基因表达的准确生物标志物识别方面的潜力.
结论:
- 在与年龄有关的疾病中提供了细胞骨基因的转录景观的全面概述.
- 确定特定的细胞骨基因和调节因素作为潜在的诊断标记.
- 建议这些已识别的基因和调节器作为治疗干预的有希望的目标.
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