Upper cortical layer-driven network impairment in schizophrenia

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.

MeSH terms

  • GABAergic Neurons / metabolism
  • Humans
  • Prefrontal Cortex / metabolism
  • RNA, Small Nuclear / metabolism
  • Schizophrenia* / pathology
  • Transcription Factors / metabolism

Substances

  • RNA, Small Nuclear
  • Transcription Factors