Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Cell Mol Life Sci. 2022 Nov 8;79(12):585. doi: 10.1007/s00018-022-04614-6.
Alzheimer's disease (AD) is the most common neurodegenerative disorders presenting with the pathological hallmarks of amyloid plaques and tau tangles. Over the past few years, great efforts have been made to explore reliable biomarkers of AD. High-throughput omics are a technology driven by multiple levels of unbiased data to detect the complex etiology of AD, and it provides us with new opportunities to better understand the pathophysiology of AD and thereby identify potential biomarkers. Through revealing the interaction networks between different molecular levels, the ultimate goal of multi-omics is to improve the diagnosis and treatment of AD. In this review, based on the current AD pathology and the current status of AD diagnostic biomarkers, we summarize how genomics, transcriptomics, proteomics and metabolomics are all conducing to the discovery of reliable AD biomarkers that could be developed and used in clinical AD management.
阿尔茨海默病(AD)是最常见的神经退行性疾病,其病理特征为淀粉样斑块和tau 缠结。在过去的几年中,人们做出了巨大的努力来探索 AD 的可靠生物标志物。高通量组学是一种由多层次无偏数据驱动的技术,用于检测 AD 的复杂病因,并为我们提供了更好地了解 AD 病理生理学的新机会,从而识别潜在的生物标志物。通过揭示不同分子水平之间的相互作用网络,多组学的最终目标是改善 AD 的诊断和治疗。在这篇综述中,基于当前 AD 的病理学和 AD 诊断生物标志物的现状,我们总结了基因组学、转录组学、蛋白质组学和代谢组学如何共同发现可靠的 AD 生物标志物,这些标志物可以在 AD 的临床管理中得到开发和应用。