Institut de Neurociències, Department de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona 08193, Spain; Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Spain.
Institut de Neurociències, Department de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona 08193, Spain; Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Spain.
Semin Cell Dev Biol. 2023 Apr;139:73-83. doi: 10.1016/j.semcdb.2022.05.007. Epub 2022 May 24.
Alzheimer's disease (AD) is a neurodegenerative disorder that by affecting specific brain cell types and regions cause severe pathological and functional changes in memory neural circuits. A comprehensive knowledge of the pathogenic mechanisms underlying AD requires a deeper understanding of the cell-specific pathological responses through integrative molecular analyses. Recent application of high-throughput single-cell transcriptomics to postmortem tissue has proved powerful to unravel cell susceptibility and biological networks responding to amyloid and tau pathologies. Here, we review single-cell transcriptomic studies successfully applied to decipher cell-specific gene expression programs and pathways in the brain of AD patients. Transcriptional information reveals both specific and common gene signatures affecting the major cerebral cell types, including astrocytes, endothelial cells, microglia, neurons, and oligodendrocytes. Cell type-specific transcriptomes associated with AD pathology and clinical symptoms are related to common biological networks affecting, among others pathways, synaptic function, inflammation, proteostasis, cell death, oxidative stress, and myelination. The general picture that emerges from systems-level single-cell transcriptomics is a spatiotemporal pattern of cell diversity and biological pathways, and novel cell subpopulations affected in AD brain. We argue that broader implementation of cell transcriptomics in larger AD human cohorts using standardized protocols is fundamental for reliable assessment of temporal and regional cell-type gene profiling. The possibility of applying this methodology for personalized medicine in clinics is still challenging but opens new roads for future diagnosis and treatment in dementia.
阿尔茨海默病(AD)是一种神经退行性疾病,通过影响特定的脑细胞类型和区域,导致记忆神经回路严重的病理和功能变化。要全面了解 AD 的发病机制,需要通过综合分子分析深入了解细胞特异性的病理反应。最近,高通量单细胞转录组学在尸检组织中的应用已被证明非常有效,可以揭示对淀粉样蛋白和tau 病理学有反应的细胞易感性和生物学网络。在这里,我们综述了成功应用于破译 AD 患者大脑中特定于细胞的基因表达程序和途径的单细胞转录组学研究。转录信息揭示了影响主要脑细胞类型(包括星形胶质细胞、内皮细胞、小胶质细胞、神经元和少突胶质细胞)的特定和共同基因特征。与 AD 病理学和临床症状相关的细胞类型特异性转录组与影响突触功能、炎症、蛋白质稳态、细胞死亡、氧化应激和髓鞘形成等途径的常见生物学网络有关。从系统水平单细胞转录组学中得出的总体情况是细胞多样性和生物学途径的时空模式,以及 AD 大脑中受影响的新的细胞亚群。我们认为,使用标准化方案在更大的 AD 人类队列中更广泛地实施细胞转录组学对于可靠评估时空细胞类型基因谱是至关重要的。将这种方法应用于临床个体化医学的可能性仍然具有挑战性,但为痴呆症的未来诊断和治疗开辟了新的道路。