Probing neural circuit mechanisms in Alzheimer's disease using novel technologies.
Probing neural circuit mechanisms in Alzheimer's disease using novel technologies.
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DOI：
10.1038/s41380-023-02018-x
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发表时间：
2023-10
影响因子：
11
通讯作者：
Xu, Xiangmin
中科院分区：
文献类型：
--
作者：
Grieco, Steven F.;Holmes, Todd C.;Xu, Xiangmin
阿尔茨海默病（AD）的研究传统上集中在神经病理学机制，指导治疗，减轻神经病理学特征。AD研究的一个新方向是关注由于神经回路机制中断而导致的认知功能的逐渐丧失。来自人类和AD动物模型的证据表明，失调的回路引发一连串病理事件，最终导致学习、记忆和认知的其他方面的功能丧失。单细胞、空间和电路组学的最新进展通过确定受AD影响的特定细胞的身份、位置和电路来告知这种以电路为中心的方法。最近开发的神经科学工具允许精确访问细胞类型特异性电路，以便可以测试它们在AD相关认知缺陷和疾病进展中的功能作用。AD相关的神经回路机制的综合系统级的理解需要新的多模态和多尺度的询问，纵向测量和/或操纵的特定分子定义的神经元群体的整体特性，首先易受AD。这些新开发的技术和概念的进步为研究和治疗AD中易受伤害的电路提供了新的机会，并代表了基于电路的AD研究新时代的开始。
The study of Alzheimer’s Disease (AD) has traditionally focused on neuropathological mechanisms that has guided therapies that attenuate neuropathological features. A new direction is emerging in AD research that focuses on the progressive loss of cognitive function due to disrupted neural circuit mechanisms. Evidence from humans and animal models of AD show that dysregulated circuits initiate a cascade of pathological events that culminate in functional loss of learning, memory, and other aspects of cognition. Recent progress in single-cell, spatial, and circuit omics informs this circuit-focused approach by determining the identities, locations, and circuitry of the specific cells affected by AD. Recently developed neuroscience tools allow for precise access to cell type-specific circuitry so that their functional roles in AD-related cognitive deficits and disease progression can be tested. An integrated systems-level understanding of AD-associated neural circuit mechanisms requires new multimodal and multi-scale interrogations that longitudinally measure and/or manipulate the ensemble properties of specific molecularly-defined neuron populations first susceptible to AD. These newly developed technological and conceptual advances present new opportunities for studying and treating circuits vulnerable in AD and represent the beginning of a new era for circuit-based AD research.
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影响因子：
7.8
作者：
Baglietto-Vargas D;Prieto GA;Limon A;Forner S;Rodriguez-Ortiz CJ;Ikemura K;Ager RR;Medeiros R;Trujillo-Estrada L;Martini AC;Kitazawa M;Davila JC;Cotman CW;Gutierrez A;LaFerla FM
通讯作者：
LaFerla FM
影响因子：
16.2
作者：
Chen, Xinhong;Kumar, Sripriya Ravindra;Adams, Cameron D.;Yang, Daping;Wang, Tongtong;Wolfe, Damien A.;Arokiaraj, Cynthia M.;Ngo, Victoria;Campos, Lillian J.;Griffiths, Jessica A.;Ichiki, Takako;Mazmanian, Sarkis K.;Osborne, Peregrine B.;Keast, Janet R.;Miller, Cory T.;Fox, Andrew S.;Chiu, Isaac M.;Gradinaru, Viviana
通讯作者：
Gradinaru, Viviana
影响因子：
46.9
作者：
Chen R;Gore F;Nguyen QA;Ramakrishnan C;Patel S;Kim SH;Raffiee M;Kim YS;Hsueh B;Krook-Magnusson E;Soltesz I;Deisseroth K
通讯作者：
Deisseroth K
影响因子：
64.8
作者：
通讯作者：
--
影响因子：
64.8
作者：
Berns DS;DeNardo LA;Pederick DT;Luo L
通讯作者：
Luo L