Cell type specific transcriptomic differences in depression show similar patterns between males and females but implicate distinct cell types and genes

Malosree Maitra(Douglas Mental Health University Institute), Haruka Mitsuhashi(Douglas Mental Health University Institute), Reza Rahimian(Douglas Mental Health University Institute), Anjali Chawla(Douglas Mental Health University Institute), Jennie Yang(Douglas Mental Health University Institute), Laura M. Fiori(Douglas Mental Health University Institute), Maria Antonietta Davoli(Douglas Mental Health University Institute), Kelly Perlman(Douglas Mental Health University Institute), Zahia Aouabed(Douglas Mental Health University Institute), Deborah C. Mash(Nova Southeastern University), Matthew Suderman(University of Bristol), Naguib Mechawar(Douglas Mental Health University Institute), Gustavo Turecki(Douglas Mental Health University Institute), Corina Nagy(Douglas Mental Health University Institute)
Nature Communications
May 22, 2023
Cited by 134Open Access
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Abstract

Major depressive disorder (MDD) is a common, heterogenous, and potentially serious psychiatric illness. Diverse brain cell types have been implicated in MDD etiology. Significant sexual differences exist in MDD clinical presentation and outcome, and recent evidence suggests different molecular bases for male and female MDD. We evaluated over 160,000 nuclei from 71 female and male donors, leveraging new and pre-existing single-nucleus RNA-sequencing data from the dorsolateral prefrontal cortex. Cell type specific transcriptome-wide threshold-free MDD-associated gene expression patterns were similar between the sexes, but significant differentially expressed genes (DEGs) diverged. Among 7 broad cell types and 41 clusters evaluated, microglia and parvalbumin interneurons contributed the most DEGs in females, while deep layer excitatory neurons, astrocytes, and oligodendrocyte precursors were the major contributors in males. Further, the Mic1 cluster with 38% of female DEGs and the ExN10_L46 cluster with 53% of male DEGs, stood out in the meta-analysis of both sexes.


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