系统性审查:为阿尔茨海默病病理学和精准医学提供蛋白质学驱动的多组学整合
Jonathan Mingsong Dong1, Huan Zhong2
1Lower Canada College, Montreal, QC H4A 2L1, Canada.
Neurology international
|December 24, 2025
概括
蛋白质组学和多组学整合正在推动阿尔茨海默病 (AD) 研究. 本综述强调了在AD研究中将蛋白质组学与其他蛋白质组学数据相结合时的趋势,方法和挑战.
科学领域:
- 生物医学研究的研究.
- 神经退行性疾病研究研究神经退行性疾病研究
- 多领域的整合.
背景情况:
- 阿尔茨海默病 (AD) 是神经退行性疾病研究的主要焦点.
- 多omics的整合,特别是蛋白质组学,加深了对AD分子路径的理解.
- 数据的异质性和复杂性挑战了当前的整合方法.
研究的目的:
- 系统地审查基于蛋白质组学的多组学整合在阿尔茨海默病研究中的最新趋势.
- 识别当前AD多学科方法中的科学进步和方法限制.
- 为完善神经退行性疾病研究中的分析框架提供参考.
主要方法:
- 对792个PubMed出版物的系统文献综述.
- 详细分析了27项同行评审研究 (2024-2025年) 关于AD的蛋白质组学定多组学集成.
- 对218项研究 (2024-2025) 的统计分析,以确定omics趋势.
主要成果:
- 蛋白质组学是研究最多的奥米克层,在AD研究中经常与转录组学集成.
- 确定了用于特征提取和集成的常见机器学习方法.
- 关键的AD途径包括粉样蛋白代谢,突触功能和神经炎症.
结论:
- 本综述提供了当前基于蛋白质组学的多组学整合在AD研究中的全面概述.
- 它强调了现有方法的进展和局限性.
- 这些发现指导研究人员为神经退行性疾病开发更易解释,数据驱动的研究.
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