Single-cell transcriptomic atlas of Alzheimer’s disease middle temporal gyrus reveals region, cell type and sex specificity of gene expression with novel genetic risk for MERTK in female

Author:

Zhang LeORCID,He Chuan Hua,Coffey Sarah,Yin Dominic,Hsu I-Uen,Su Chang,Ye Yixuan,Zhang Chi,Spurrier Joshua,Nicholson LaShae,Rothlin Carla V.,Ghosh Sourav,Gopal Pallavi P.,Hafler David A.,Zhao Hongyu,Strittmatter Stephen M.ORCID

Abstract

AbstractAlzheimer’s disease, the most common age-related neurodegenerative disease, is closely associated with both amyloid-ß plaque and neuroinflammation. Two thirds of Alzheimer’s disease patients are females and they have a higher disease risk. Moreover, women with Alzheimer’s disease have more extensive brain histological changes than men along with more severe cognitive symptoms and neurodegeneration. To identify how sex difference induces structural brain changes, we performed unbiased massively parallel single nucleus RNA sequencing on Alzheimer’s disease and control brains focusing on the middle temporal gyrus, a brain region strongly affected by the disease but not previously studied with these methods. We identified a subpopulation of selectively vulnerable layer 2/3 excitatory neurons that that were RORB-negative and CDH9-expressing. This vulnerability differs from that reported for other brain regions, but there was no detectable difference between male and female patterns in middle temporal gyrus samples. Disease-associated, but sex-independent, reactive astrocyte signatures were also present. In clear contrast, the microglia signatures of diseased brains differed between males and females. Combining single cell transcriptomic data with results from genome-wide association studies (GWAS), we identifiedMERTKgenetic variation as a risk factor for Alzheimer’s disease selectively in females. Taken together, our single cell dataset revealed a unique cellular-level view of sex-specific transcriptional changes in Alzheimer’s disease, illuminating GWAS identification of sex-specific Alzheimer’s risk genes. These data serve as a rich resource for interrogation of the molecular and cellular basis of Alzheimer’s disease.

Publisher

Cold Spring Harbor Laboratory

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