Bibliographic Details
| Title: |
Mapping the cellular etiology of schizophrenia and complex brain phenotypes. |
| Authors: |
Duncan, Laramie E. (AUTHOR), Li, Tayden (AUTHOR), Salem, Madeleine (AUTHOR), Li, Will (AUTHOR), Mortazavi, Leili (AUTHOR), Senturk, Hazal (AUTHOR), Shahverdizadeh, Naghmeh (AUTHOR), Vesuna, Sam (AUTHOR), Shen, Hanyang (AUTHOR), Yoon, Jong (AUTHOR), Wang, Gordon (AUTHOR), Ballon, Jacob (AUTHOR), Tan, Longzhi (AUTHOR), Pruett, Brandon Scott (AUTHOR), Knutson, Brian (AUTHOR), Deisseroth, Karl (AUTHOR), Giardino, William J. (AUTHOR) |
| Source: |
Nature Neuroscience. Feb2025, Vol. 28 Issue 2, p248-258. 11p. |
| Abstract: |
Psychiatric disorders are multifactorial and effective treatments are lacking. Probable contributing factors to the challenges in therapeutic development include the complexity of the human brain and the high polygenicity of psychiatric disorders. Combining well-powered genome-wide and brain-wide genetics and transcriptomics analyses can deepen our understanding of the etiology of psychiatric disorders. Here, we leverage two landmark resources to infer the cell types involved in the etiology of schizophrenia, other psychiatric disorders and informative comparison of brain phenotypes. We found both cortical and subcortical neuronal associations for schizophrenia, bipolar disorder and depression. These cell types included somatostatin interneurons, excitatory neurons from the retrosplenial cortex and eccentric medium spiny-like neurons from the amygdala. In contrast we found T cell and B cell associations with multiple sclerosis and microglial associations with Alzheimer's disease. We provide a framework for a cell-type-based classification system that can lead to drug repurposing or development opportunities and personalized treatments. This work formalizes a data-driven, cellular and molecular model of complex brain disorders. Duncan and colleagues link specific human brain cell types to schizophrenia and other complex brain phenotypes, providing mechanistic insights and a cellular taxonomy for psychiatric disorders. [ABSTRACT FROM AUTHOR] |
|
Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Psychology and Behavioral Sciences Collection |
