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Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance

Stephanie Cerceo Page, Srinidhi Rao Sripathy, Federica Farinelli, Zengyou Ye, Yanhong Wang, Daniel J Hiler, Elizabeth A Pattie, Claudia V Nguyen, Madhavi Tippani, Rebecca L. Moses, Huei-Ying Chen, Matthew Nguyen Tran, View ORCID ProfileNicholas J Eagles, Joshua M Stolz, Joseph L Catallini II, Olivia R Soudry, Dwight Dickinson, Karen F Berman, Jose A Apud, Daniel R Weinberger, View ORCID ProfileKeri Martinowich, View ORCID ProfileAndrew E Jaffe, Richard E Straub, View ORCID ProfileBrady J Maher
doi: https://doi.org/10.1101/2021.04.08.437289
Stephanie Cerceo Page
1Lieber Institute for Brain Development, Baltimore, MD
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Srinidhi Rao Sripathy
1Lieber Institute for Brain Development, Baltimore, MD
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Federica Farinelli
1Lieber Institute for Brain Development, Baltimore, MD
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Zengyou Ye
1Lieber Institute for Brain Development, Baltimore, MD
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Yanhong Wang
1Lieber Institute for Brain Development, Baltimore, MD
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Daniel J Hiler
1Lieber Institute for Brain Development, Baltimore, MD
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Elizabeth A Pattie
1Lieber Institute for Brain Development, Baltimore, MD
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Claudia V Nguyen
1Lieber Institute for Brain Development, Baltimore, MD
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Madhavi Tippani
1Lieber Institute for Brain Development, Baltimore, MD
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Rebecca L. Moses
1Lieber Institute for Brain Development, Baltimore, MD
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Huei-Ying Chen
1Lieber Institute for Brain Development, Baltimore, MD
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Matthew Nguyen Tran
1Lieber Institute for Brain Development, Baltimore, MD
2McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD
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Nicholas J Eagles
1Lieber Institute for Brain Development, Baltimore, MD
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  • ORCID record for Nicholas J Eagles
Joshua M Stolz
1Lieber Institute for Brain Development, Baltimore, MD
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Joseph L Catallini II
1Lieber Institute for Brain Development, Baltimore, MD
3Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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Olivia R Soudry
1Lieber Institute for Brain Development, Baltimore, MD
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Dwight Dickinson
4Clinical and Translational Neuroscience Branch, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD
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Karen F Berman
4Clinical and Translational Neuroscience Branch, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD
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Jose A Apud
4Clinical and Translational Neuroscience Branch, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD
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Daniel R Weinberger
1Lieber Institute for Brain Development, Baltimore, MD
2McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD
5The Solomon H Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD
6Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD
7Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD
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Keri Martinowich
1Lieber Institute for Brain Development, Baltimore, MD
5The Solomon H Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD
6Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD
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Andrew E Jaffe
1Lieber Institute for Brain Development, Baltimore, MD
3Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
5The Solomon H Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD
6Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD
8Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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Richard E Straub
1Lieber Institute for Brain Development, Baltimore, MD
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Brady J Maher
1Lieber Institute for Brain Development, Baltimore, MD
5The Solomon H Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD
6Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD
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  • For correspondence: brady.maher@libd.org
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Abstract

Neurons derived from human induced pluripotent stem cells (hiPSCs) have been used to model basic cellular aspects of neuropsychiatric disorders, but the relationship between the emergent phenotypes and the clinical characteristics of donor individuals has been unclear. We analyzed RNA expression and indices of cellular function in hiPSC-derived neural progenitors and cortical neurons generated from 13 individuals with high polygenic risk scores (PRS) for schizophrenia and a clinical diagnosis of schizophrenia, along with 15 neurotypical individuals with low PRS. We identified electrophysiological measures associated with diagnosis that implicated altered Na+ channel function and GABA-ergic neurotransmission. Importantly, electrophysiological measures predicted cardinal clinical and cognitive features found in these schizophrenia patients. The identification of basic neuronal physiological properties related to core clinical characteristics of illness is a potentially critical step in generating leads for novel therapeutics.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵# Co-senior authors

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Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
Stephanie Cerceo Page, Srinidhi Rao Sripathy, Federica Farinelli, Zengyou Ye, Yanhong Wang, Daniel J Hiler, Elizabeth A Pattie, Claudia V Nguyen, Madhavi Tippani, Rebecca L. Moses, Huei-Ying Chen, Matthew Nguyen Tran, Nicholas J Eagles, Joshua M Stolz, Joseph L Catallini II, Olivia R Soudry, Dwight Dickinson, Karen F Berman, Jose A Apud, Daniel R Weinberger, Keri Martinowich, Andrew E Jaffe, Richard E Straub, Brady J Maher
bioRxiv 2021.04.08.437289; doi: https://doi.org/10.1101/2021.04.08.437289
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Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
Stephanie Cerceo Page, Srinidhi Rao Sripathy, Federica Farinelli, Zengyou Ye, Yanhong Wang, Daniel J Hiler, Elizabeth A Pattie, Claudia V Nguyen, Madhavi Tippani, Rebecca L. Moses, Huei-Ying Chen, Matthew Nguyen Tran, Nicholas J Eagles, Joshua M Stolz, Joseph L Catallini II, Olivia R Soudry, Dwight Dickinson, Karen F Berman, Jose A Apud, Daniel R Weinberger, Keri Martinowich, Andrew E Jaffe, Richard E Straub, Brady J Maher
bioRxiv 2021.04.08.437289; doi: https://doi.org/10.1101/2021.04.08.437289

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