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利用空间多组学解析阿尔茨海默病:简要综述

Untangling Alzheimer's disease with spatial multi-omics: a brief review.

作者信息

Marshall Cody R, Farrow Melissa A, Djambazova Katerina V, Spraggins Jeffrey M

机构信息

Chemical and Physical Biology Program, Vanderbilt University School of Medicine, Nashville, TN, United States.

Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, TN, United States.

出版信息

Front Aging Neurosci. 2023 Jul 17;15:1150512. doi: 10.3389/fnagi.2023.1150512. eCollection 2023.

Abstract

Alzheimer's disease (AD) is the most common form of neurological dementia, specified by extracellular β-amyloid plaque deposition, neurofibrillary tangles, and cognitive impairment. AD-associated pathologies like cerebral amyloid angiopathy (CAA) are also affiliated with cognitive impairment and have overlapping molecular drivers, including amyloid buildup. Discerning the complexity of these neurological disorders remains a significant challenge, and the spatiomolecular relationships between pathogenic features of AD and AD-associated pathologies remain poorly understood. This review highlights recent developments in spatial omics, including profiling and molecular imaging methods, and how they are applied to AD. These emerging technologies aim to characterize the relationship between how specific cell types and tissue features are organized in combination with mapping molecular distributions to provide a systems biology view of the tissue microenvironment around these neuropathologies. As spatial omics methods achieve greater resolution and improved molecular coverage, they are enabling deeper characterization of the molecular drivers of AD, leading to new possibilities for the prediction, diagnosis, and mitigation of this debilitating disease.

摘要

阿尔茨海默病(AD)是神经退行性痴呆最常见的形式,其特征为细胞外β淀粉样蛋白斑块沉积、神经原纤维缠结和认知障碍。与AD相关的病理学,如脑淀粉样血管病(CAA),也与认知障碍有关,并且具有重叠的分子驱动因素,包括淀粉样蛋白积累。识别这些神经疾病的复杂性仍然是一项重大挑战,AD的致病特征与AD相关病理学之间的空间分子关系仍知之甚少。本综述重点介绍了空间组学的最新进展,包括分析和分子成像方法,以及它们如何应用于AD。这些新兴技术旨在表征特定细胞类型和组织特征的组合方式与绘制分子分布之间的关系,以提供围绕这些神经病理学的组织微环境的系统生物学观点。随着空间组学方法实现更高的分辨率和更好的分子覆盖,它们能够更深入地表征AD的分子驱动因素,为预测、诊断和缓解这种使人衰弱的疾病带来新的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a063/10390637/33db84317521/fnagi-15-1150512-g001.jpg

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