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Upper cortical layer-driven network impairment in schizophrenia.

Authors :
Batiuk MY
Tyler T
Dragicevic K
Mei S
Rydbirk R
Petukhov V
Deviatiiarov R
Sedmak D
Frank E
Feher V
Habek N
Hu Q
Igolkina A
Roszik L
Pfisterer U
Garcia-Gonzalez D
Petanjek Z
Adorjan I
Kharchenko PV
Khodosevich K
Source :
Science advances [Sci Adv] 2022 Oct 14; Vol. 8 (41), pp. eabn8367. Date of Electronic Publication: 2022 Oct 12.
Publication Year :
2022

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.

Details

Language :
English
ISSN :
2375-2548
Volume :
8
Issue :
41
Database :
MEDLINE
Journal :
Science advances
Publication Type :
Academic Journal
Accession number :
36223459
Full Text :
https://doi.org/10.1126/sciadv.abn8367