Upper cortical layer-driven network impairment in schizophrenia.
Mykhailo Y BatiukTeadora TylerKatarina DragičevićShenglin MeiRasmus RydbirkViktor PetukhovRuslan M DeviatiiarovDora SedmakErzsebet FrankVirginia FeherNikola HabekQiwen HuAnna IgolkinaLilla RoszikUlrich PfistererDiego Garcia-GonzalezZdravko PetanjekIstvan AdorjanPeter V KharchenkoKonstantin KhodosevichPublished in: Science advances (2022)
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.
Keyphrases
- single cell
- bipolar disorder
- prefrontal cortex
- spinal cord
- rna seq
- network analysis
- transcription factor
- genome wide
- machine learning
- transcranial magnetic stimulation
- spinal cord injury
- gene expression
- deep learning
- microbial community
- transcranial direct current stimulation
- subarachnoid hemorrhage
- cerebral ischemia