Upper cortical layer-driven network impairment in schizophrenia

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Standard

Upper cortical layer-driven network impairment in schizophrenia. / Batiuk, Mykhailo Y.; Tyler, Teadora; Dragicevic, Katarina; Mei, Shenglin; Rydbirk, Rasmus; Petukhov, Viktor; Deviatiiarov, Ruslan; Sedmak, Dora; Frank, Erzsebet; Feher, Virginia; Habek, Nikola; Hu, Qiwen; Igolkina, Anna; Roszik, Lilla; Pfisterer, Ulrich; Garcia-Gonzalez, Diego; Petanjek, Zdravko; Adorjan, Istvan; Kharchenko, Peter V.; Khodosevich, Konstantin.

I: Science Advances, Bind 8, Nr. 41, eabn8367, 2022.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

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 2022, 'Upper cortical layer-driven network impairment in schizophrenia', Science Advances, bind 8, nr. 41, eabn8367. https://doi.org/10.1126/sciadv.abn8367

APA

Batiuk, M. Y., 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, P. V., & Khodosevich, K. (2022). Upper cortical layer-driven network impairment in schizophrenia. Science Advances, 8(41), [eabn8367]. https://doi.org/10.1126/sciadv.abn8367

Vancouver

Batiuk MY, Tyler T, Dragicevic K, Mei S, Rydbirk R, Petukhov V o.a. Upper cortical layer-driven network impairment in schizophrenia. Science Advances. 2022;8(41). eabn8367. https://doi.org/10.1126/sciadv.abn8367

Author

Batiuk, Mykhailo Y. ; Tyler, Teadora ; Dragicevic, Katarina ; Mei, Shenglin ; Rydbirk, Rasmus ; Petukhov, Viktor ; Deviatiiarov, Ruslan ; Sedmak, Dora ; Frank, Erzsebet ; Feher, Virginia ; Habek, Nikola ; Hu, Qiwen ; Igolkina, Anna ; Roszik, Lilla ; Pfisterer, Ulrich ; Garcia-Gonzalez, Diego ; Petanjek, Zdravko ; Adorjan, Istvan ; Kharchenko, Peter V. ; Khodosevich, Konstantin. / Upper cortical layer-driven network impairment in schizophrenia. I: Science Advances. 2022 ; Bind 8, Nr. 41.

Bibtex

@article{2c1b5fe1cc784ee7a350210b1dc598ac,
title = "Upper cortical layer-driven network impairment in schizophrenia",
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.",
author = "Batiuk, {Mykhailo Y.} and Teadora Tyler and Katarina Dragicevic and Shenglin Mei and Rasmus Rydbirk and Viktor Petukhov and Ruslan Deviatiiarov and Dora Sedmak and Erzsebet Frank and Virginia Feher and Nikola Habek and Qiwen Hu and Anna Igolkina and Lilla Roszik and Ulrich Pfisterer and Diego Garcia-Gonzalez and Zdravko Petanjek and Istvan Adorjan and Kharchenko, {Peter V.} and Konstantin Khodosevich",
year = "2022",
doi = "10.1126/sciadv.abn8367",
language = "English",
volume = "8",
journal = "Science advances",
issn = "2375-2548",
publisher = "American Association for the Advancement of Science",
number = "41",

}

RIS

TY - JOUR

T1 - Upper cortical layer-driven network impairment in schizophrenia

AU - Batiuk, Mykhailo Y.

AU - Tyler, Teadora

AU - Dragicevic, Katarina

AU - Mei, Shenglin

AU - Rydbirk, Rasmus

AU - Petukhov, Viktor

AU - Deviatiiarov, Ruslan

AU - Sedmak, Dora

AU - Frank, Erzsebet

AU - Feher, Virginia

AU - Habek, Nikola

AU - Hu, Qiwen

AU - Igolkina, Anna

AU - Roszik, Lilla

AU - Pfisterer, Ulrich

AU - Garcia-Gonzalez, Diego

AU - Petanjek, Zdravko

AU - Adorjan, Istvan

AU - Kharchenko, Peter V.

AU - Khodosevich, Konstantin

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

U2 - 10.1126/sciadv.abn8367

DO - 10.1126/sciadv.abn8367

M3 - Journal article

C2 - 36223459

AN - SCOPUS:85139747465

VL - 8

JO - Science advances

JF - Science advances

SN - 2375-2548

IS - 41

M1 - eabn8367

ER -

ID: 323458390