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

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...

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Autores principales: Page, Stephanie Cerceo, Sripathy, Srinidhi Rao, Farinelli, Federica, Ye, Zengyou, Wang, Yanhong, Hiler, Daniel J., Pattie, Elizabeth A., Nguyen, Claudia V., Tippani, Madhavi, Moses, Rebecca L., Chen, Huei-Ying, Tran, Matthew Nguyen, Eagles, Nicholas J., Stolz, Joshua M., Catallini, Joseph L., Soudry, Olivia R., Dickinson, Dwight, Berman, Karen F., Apud, Jose A., Weinberger, Daniel R., Martinowich, Keri, Jaffe, Andrew E., Straub, Richard E., Maher, Brady J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784142/
https://www.ncbi.nlm.nih.gov/pubmed/35017298
http://dx.doi.org/10.1073/pnas.2109395119
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author Page, Stephanie Cerceo
Sripathy, Srinidhi Rao
Farinelli, Federica
Ye, Zengyou
Wang, Yanhong
Hiler, Daniel J.
Pattie, Elizabeth A.
Nguyen, Claudia V.
Tippani, Madhavi
Moses, Rebecca L.
Chen, Huei-Ying
Tran, Matthew Nguyen
Eagles, Nicholas J.
Stolz, Joshua M.
Catallini, Joseph L.
Soudry, Olivia R.
Dickinson, Dwight
Berman, Karen F.
Apud, Jose A.
Weinberger, Daniel R.
Martinowich, Keri
Jaffe, Andrew E.
Straub, Richard E.
Maher, Brady J.
author_facet Page, Stephanie Cerceo
Sripathy, Srinidhi Rao
Farinelli, Federica
Ye, Zengyou
Wang, Yanhong
Hiler, Daniel J.
Pattie, Elizabeth A.
Nguyen, Claudia V.
Tippani, Madhavi
Moses, Rebecca L.
Chen, Huei-Ying
Tran, Matthew Nguyen
Eagles, Nicholas J.
Stolz, Joshua M.
Catallini, Joseph L.
Soudry, Olivia R.
Dickinson, Dwight
Berman, Karen F.
Apud, Jose A.
Weinberger, Daniel R.
Martinowich, Keri
Jaffe, Andrew E.
Straub, Richard E.
Maher, Brady J.
author_sort Page, Stephanie Cerceo
collection PubMed
description 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 (PRSs) for schizophrenia (SCZ) and a clinical diagnosis of SCZ, along with 15 neurotypical individuals with low PRS. We identified electrophysiological measures in the patient-derived neurons that implicated altered Na(+) channel function, action potential interspike interval, and gamma-aminobutyric acid–ergic neurotransmission. Importantly, electrophysiological measures predicted cardinal clinical and cognitive features found in these SCZ 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.
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spelling pubmed-87841422022-02-01 Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance Page, Stephanie Cerceo Sripathy, Srinidhi Rao Farinelli, Federica Ye, Zengyou Wang, Yanhong Hiler, Daniel J. Pattie, Elizabeth A. Nguyen, Claudia V. Tippani, Madhavi Moses, Rebecca L. Chen, Huei-Ying Tran, Matthew Nguyen Eagles, Nicholas J. Stolz, Joshua M. Catallini, Joseph L. Soudry, Olivia R. Dickinson, Dwight Berman, Karen F. Apud, Jose A. Weinberger, Daniel R. Martinowich, Keri Jaffe, Andrew E. Straub, Richard E. Maher, Brady J. Proc Natl Acad Sci U S A Biological Sciences 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 (PRSs) for schizophrenia (SCZ) and a clinical diagnosis of SCZ, along with 15 neurotypical individuals with low PRS. We identified electrophysiological measures in the patient-derived neurons that implicated altered Na(+) channel function, action potential interspike interval, and gamma-aminobutyric acid–ergic neurotransmission. Importantly, electrophysiological measures predicted cardinal clinical and cognitive features found in these SCZ 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. National Academy of Sciences 2022-01-11 2022-01-18 /pmc/articles/PMC8784142/ /pubmed/35017298 http://dx.doi.org/10.1073/pnas.2109395119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Page, Stephanie Cerceo
Sripathy, Srinidhi Rao
Farinelli, Federica
Ye, Zengyou
Wang, Yanhong
Hiler, Daniel J.
Pattie, Elizabeth A.
Nguyen, Claudia V.
Tippani, Madhavi
Moses, Rebecca L.
Chen, Huei-Ying
Tran, Matthew Nguyen
Eagles, Nicholas J.
Stolz, Joshua M.
Catallini, Joseph L.
Soudry, Olivia R.
Dickinson, Dwight
Berman, Karen F.
Apud, Jose A.
Weinberger, Daniel R.
Martinowich, Keri
Jaffe, Andrew E.
Straub, Richard E.
Maher, Brady J.
Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
title Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
title_full Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
title_fullStr Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
title_full_unstemmed Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
title_short Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
title_sort electrophysiological measures from human ipsc-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784142/
https://www.ncbi.nlm.nih.gov/pubmed/35017298
http://dx.doi.org/10.1073/pnas.2109395119
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