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宏观连接组拓扑结构揭示了阿尔茨海默病大脑功能障碍的生物力学机制。

Macroscale connectome topographical structure reveals the biomechanisms of brain dysfunction in Alzheimer's disease.

机构信息

School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.

Department of Radiology, Qilu Hospital of Shandong University, Jinan, China.

出版信息

Sci Adv. 2024 Oct 11;10(41):eado8837. doi: 10.1126/sciadv.ado8837.

Abstract

The intricate spatial configurations of brain networks offer essential insights into understanding the specific patterns of brain abnormalities and the underlying biological mechanisms associated with Alzheimer's disease (AD), normal aging, and other neurodegenerative disorders. This study investigated alterations in the topographical structure of the brain related to aging and neurodegenerative diseases by analyzing brain gradients derived from structural MRI data across multiple cohorts ( = 7323). The analysis identified distinct gradient patterns in AD, aging, and other neurodegenerative conditions. Gene enrichment analysis indicated that inorganic ion transmembrane transport was the most significant term in normal aging, while chemical synaptic transmission is a common enrichment term across various neurodegenerative diseases. Moreover, the findings show that each disorder exhibits unique dysfunctional neurophysiological characteristics. These insights are pivotal for elucidating the distinct biological mechanisms underlying AD, thereby enhancing our understanding of its unique clinical phenotypes in contrast to normal aging and other neurodegenerative disorders.

摘要

大脑网络的复杂空间结构为理解阿尔茨海默病(AD)、正常衰老和其他神经退行性疾病相关的特定大脑异常模式和潜在生物学机制提供了重要的见解。本研究通过分析来自多个队列的结构 MRI 数据中得出的大脑梯度,研究了与衰老和神经退行性疾病相关的大脑拓扑结构的变化(n = 7323)。分析确定了 AD、衰老和其他神经退行性疾病中不同的梯度模式。基因富集分析表明,无机离子跨膜转运是正常衰老中最重要的术语,而化学突触传递是各种神经退行性疾病的常见富集术语。此外,研究结果表明,每种疾病都表现出独特的神经生理功能障碍特征。这些发现对于阐明 AD 背后的独特生物学机制至关重要,从而增强我们对其与正常衰老和其他神经退行性疾病相比的独特临床表型的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afaa/11809497/f236b3a8b9d1/sciadv.ado8837-f1.jpg

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