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精神分裂症中上层皮质层驱动的网络损伤。

Upper cortical layer-driven network impairment in schizophrenia.

机构信息

Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.

Department of Anatomy, Histology and Embryology, Semmelweis University, Budapest H-1085, Hungary.

出版信息

Sci Adv. 2022 Oct 14;8(41):eabn8367. doi: 10.1126/sciadv.abn8367. Epub 2022 Oct 12.

Abstract

Schizophrenia is one of the most widespread and complex mental disorders. To characterize the impact of schizophrenia, we performed single-nucleus RNA sequencing (snRNA-seq) of >220,000 neurons from the dorsolateral prefrontal cortex of patients with schizophrenia and matched controls. In addition, >115,000 neurons were analyzed topographically by immunohistochemistry. Compositional analysis of snRNA-seq data revealed a reduction in abundance of GABAergic neurons and a concomitant increase in principal neurons, most pronounced for upper cortical layer subtypes, which was substantiated by histological analysis. Many neuronal subtypes showed extensive transcriptomic changes, the most marked in upper-layer GABAergic neurons, including down-regulation in energy metabolism and up-regulation in neurotransmission. Transcription factor network analysis demonstrated a developmental origin of transcriptomic changes. Last, Visium spatial transcriptomics further corroborated upper-layer neuron vulnerability in schizophrenia. Overall, our results point toward general network impairment within upper cortical layers as a core substrate associated with schizophrenia symptomatology.

摘要

精神分裂症是最常见和最复杂的精神障碍之一。为了描述精神分裂症的影响,我们对精神分裂症患者和匹配对照的背外侧前额叶皮层中的>220000 个神经元进行了单细胞 RNA 测序(snRNA-seq)。此外,通过免疫组织化学分析了>115000 个神经元的拓扑结构。snRNA-seq 数据的组成分析显示 GABA 能神经元丰度降低,而主要神经元丰度增加,以上皮层亚型最为明显,这一结果通过组织学分析得到了证实。许多神经元亚型表现出广泛的转录组变化,以上皮层 GABA 能神经元最为显著,包括能量代谢下调和神经递质传递上调。转录因子网络分析表明转录组变化具有发育起源。最后,Visium 空间转录组学进一步证实了精神分裂症中上层神经元的脆弱性。总的来说,我们的研究结果表明,上皮层中的一般网络损伤是与精神分裂症症状相关的核心基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c190/9555788/250c61c92c3d/sciadv.abn8367-f1.jpg

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