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

Author:

Page Stephanie Cerceo1ORCID,Sripathy Srinidhi Rao1ORCID,Farinelli Federica1,Ye Zengyou1,Wang Yanhong1,Hiler Daniel J.1,Pattie Elizabeth A.1,Nguyen Claudia V.1ORCID,Tippani Madhavi1,Moses Rebecca L.1,Chen Huei-Ying1,Tran Matthew Nguyen12,Eagles Nicholas J.1ORCID,Stolz Joshua M.1,Catallini Joseph L.13,Soudry Olivia R.1,Dickinson Dwight4ORCID,Berman Karen F.4ORCID,Apud Jose A.4,Weinberger Daniel R.12567ORCID,Martinowich Keri156ORCID,Jaffe Andrew E.13568,Straub Richard E.1,Maher Brady J.156ORCID

Affiliation:

1. Lieber Institute for Brain Development, Baltimore, MD 21205

2. McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205

3. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205

4. Clinical and Translational Neuroscience Branch, National Institute of Mental Health Intramural Research Program, NIH, Bethesda, MD 20892

5. The Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD 21205

6. Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21205

7. Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21205

8. Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205

Abstract

Significance Schizophrenia (SCZ) is a complex, highly heritable, neurodevelopmental disorder with marked clinical heterogeneity and no clear pathological mechanism or cellular pathology. The polygenic nature of the disorder has hindered our ability to model the disorder in the laboratory. Prior studies of cortical neurons differentiated from SCZ patient and control hiPSCs have identified interesting differences but their relevance to clinical illness in adults remains unclear. We now identify electrophysiological measures that associate with diagnosis and/or predict the severity of clinical and cognitive features of individual adult donors. These results demonstrate neurophysiological measures that are related to the patient’s personal clinical characteristics, which may help with patient stratification and the development of novel biomarkers and therapeutic targets.

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Reference63 articles.

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5. Schizophrenia Working Group of the Psychiatric Genomics Consortium S. Ripke J. T. R. Walters M. C. O’Donovan Mapping genomic loci prioritises genes and implicates synaptic biology in schizophrenia. medRxiv [Preprint] (2020). https:/doi.org/10.1101/2020.09.12.20192922 (Accessed 15 May 2021).

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