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解析自闭症谱系障碍中功能连接动力学的转换行为:来自发育队列分析和分子细胞关联的见解

Disentangling the Switching Behavior in Functional Connectivity Dynamics in Autism Spectrum Disorder: Insights from Developmental Cohort Analysis and Molecular-Cellular Associations.

作者信息

Li Wei, Qiu Xia, Chen Jin, Chen Kexuan, Chen Meiling, Wang Yinyan, Sun Wenjie, Su Jing, Chen Yongchang, Liu Xiaobao, Chu Congying, Wang Jiaojian

机构信息

State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, 650500, China.

Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, 650500, China.

出版信息

Adv Sci (Weinh). 2025 May;12(20):e2403801. doi: 10.1002/advs.202403801. Epub 2025 May 9.

Abstract

Characterizing the transition or switching behavior between multistable brain states in functional connectivity dynamics (FCD) holds promise for uncovering the underlying neuropathology of Autism Spectrum Disorder (ASD). However, whether and how switching behaviors in FCD change in patients with developmental ASD, as well as their cellular and molecular basis, remains unexplored. This study develops a region-wise FCD switching index (RFSI) to investigate the drivers of FCD. This work finds that brain regions within the salience, default mode, and frontoparietal networks serve as abnormal drivers of FCD in ASD across different developmental stages. Additionally, changes in RFSI at different developmental stages of ASD correlated with transcriptomic profiles and neurotransmitter density maps. Importantly, the abnormal RFSI identifies in humans has also been observed in genetically edited ASD monkeys. Finally, single-nucleus RNA sequencing data from patients with developmental ASD are analyzed and aberrant switching behaviors in FCD may be mediated by somatostatin-expressing interneurons and altered differentiation patterns in astrocyte State2. In conclusion, this study provides the first evidence of abnormal drivers of FCD across different stages of ASD and their associated cellular and molecular mechanisms. These findings deepen the understanding of ASD neuropathology and offer valuable insights into treatment strategies.

摘要

表征功能连接动力学(FCD)中多稳态脑状态之间的转变或切换行为,有望揭示自闭症谱系障碍(ASD)的潜在神经病理学。然而,发育性ASD患者的FCD切换行为是否以及如何变化,以及其细胞和分子基础,仍有待探索。本研究开发了一种区域特异性FCD切换指数(RFSI)来研究FCD的驱动因素。这项工作发现,突显网络、默认模式网络和额顶叶网络中的脑区在不同发育阶段均作为ASD中FCD的异常驱动因素。此外,ASD不同发育阶段的RFSI变化与转录组图谱和神经递质密度图相关。重要的是,在人类中发现的异常RFSI在基因编辑的ASD猴子中也有观察到。最后,分析了发育性ASD患者的单核RNA测序数据,FCD中的异常切换行为可能由表达生长抑素的中间神经元和星形胶质细胞状态2中改变的分化模式介导。总之,本研究提供了ASD不同阶段FCD异常驱动因素及其相关细胞和分子机制的首个证据。这些发现加深了对ASD神经病理学的理解,并为治疗策略提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5da/12120798/3745d1105468/ADVS-12-2403801-g001.jpg

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