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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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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. |
format | Online Article Text |
id | pubmed-8784142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
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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