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

Authors :
Page, Stephanie Cerceo
Sripathy, Srinidhi Rao
Farinelli, Federica
Zengyou Ye
Yanhong Wang
Hiler, Daniel J.
Pattie, Elizabeth A.
Nguyen, Claudia V.
Tippani, Madhavi
Moses, Rebecca L.
Huei-Ying Chen
Tran, Matthew Nguyen
Eagles, Nicholas J.
Stolz, Joshua M.
Catallini II, Joseph L.
Soudry, Olivia R.
Dickinson, Dwight
Berman, Karen F.
Apud, Jose A.
Weinberger, Daniel R.
Source :
Proceedings of the National Academy of Sciences of the United States of America. 1/18/2022, Vol. 119 Issue 3, p1-12. 12p.
Publication Year :
2022

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 (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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
119
Issue :
3
Database :
Academic Search Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
154919552
Full Text :
https://doi.org/10.1073/pnas.2109395119