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解码阿尔茨海默病:单细胞测序揭示脑细胞异质性与发病机制

Decoding Alzheimer's Disease: Single-Cell Sequencing Uncovers Brain Cell Heterogeneity and Pathogenesis.

作者信息

Ma Ya-Nan, Xia Ying, Karako Kenji, Song Peipei, Tang Wei, Hu Xiqi

机构信息

Department of Neurosurgery, Haikou Affiliated Hospital of Central South University Xiangya School of Medicine, Haikou, 570208, China.

Integrated Neuroscience Center, Geriatric Hospital of Hainan, Haikou, 571100, China.

出版信息

Mol Neurobiol. 2025 Apr 30. doi: 10.1007/s12035-025-04997-0.

Abstract

Alzheimer's disease (AD) is a complex neurodegenerative disorder marked by progressive cognitive decline and diverse neuropathological features. Recent advances in single-cell sequencing technologies have provided unprecedented insights into the cellular and molecular heterogeneity of the AD brain. This review systematically summarizes the applications of single-cell transcriptomic and epigenomic approaches in AD research, with a focus on the characterization of cell type- and subtype-specific transcriptomic alterations. This review highlights key discoveries related to selectively vulnerable neuronal and glial subpopulations, as well as transcriptional dysregulation associated with genetic risk loci such as APOE and TREM2. This review also discusses how the integration of single-cell RNA sequencing (scRNA-seq), assays for transposase-accessible chromatin using sequencing (ATAC-seq), and spatial transcriptomics elucidates disease trajectories and cellular communication networks across pathological stages. These insights not only enhance the understanding of the pathogenesis of AD but also pave the way for precision medicine through the identification of novel therapeutic targets and biomarkers.

摘要

阿尔茨海默病(AD)是一种复杂的神经退行性疾病,其特征为进行性认知衰退和多种神经病理学特征。单细胞测序技术的最新进展为深入了解AD大脑的细胞和分子异质性提供了前所未有的视角。本综述系统总结了单细胞转录组学和表观基因组学方法在AD研究中的应用,重点关注细胞类型和亚型特异性转录组改变的特征。本综述突出了与选择性易损神经元和神经胶质亚群相关的关键发现,以及与APOE和TREM2等遗传风险位点相关的转录失调。本综述还讨论了单细胞RNA测序(scRNA-seq)、转座酶可及染色质测序分析(ATAC-seq)和空间转录组学的整合如何阐明疾病进展轨迹以及跨病理阶段的细胞通讯网络。这些见解不仅加深了对AD发病机制的理解,还通过识别新的治疗靶点和生物标志物为精准医学铺平了道路。

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