2020
DOI: 10.1101/2020.04.24.060558
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Sex-Specific Cross Tissue Meta-Analysis Identifies Immune Dysregulation in Women with Alzheimer’s Disease

Abstract: In spite of evidence of females having a greater lifetime risk of developing Alzheimer's Disease (AD) and greater apolipoprotein E4-related (apoE4) AD risk compared to males, molecular signatures underlying these findings remain elusive. We took a meta-analysis approach to study gene expression in the brains of 1,084 AD patients and age-matched controls and whole blood from 645 AD patients and age-matched controls. Gene-expression, network-based analysis and cell type deconvolution approaches revealed a consis… Show more

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Cited by 8 publications
(10 citation statements)
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“…We also observed more shared DEGs in AD case versus control female signatures versus male signatures across the cell types (Fig. 2a), which is consistent with previous bulk tissue analysis 34 . Some of the differentially expressed genes include LINGO1, a negative regulator of myelination 38,39 , which we found upregulated in all AD compared to control female cell types; SLC1A3, which encodes excitatory amino acid transporter 1 that transports glutamate in the synaptic cleft 40 and was perturbed in all female AD compared to control cell types except oligodendrocytes and OPCs; and SPP1, a protein involved in neuroinflammation also known as Osteopontin 41 that we observed to be upregulated in AD versus control samples of both female and male excitatory neurons and microglia, as well as female astrocytes and inhibitory neurons.…”
Section: Dge Analysis In the Prefrontal Cortex Reveals Modest Sex-specific Disease Related Changes Specifically In Glial Cell Typessupporting
confidence: 90%
“…We also observed more shared DEGs in AD case versus control female signatures versus male signatures across the cell types (Fig. 2a), which is consistent with previous bulk tissue analysis 34 . Some of the differentially expressed genes include LINGO1, a negative regulator of myelination 38,39 , which we found upregulated in all AD compared to control female cell types; SLC1A3, which encodes excitatory amino acid transporter 1 that transports glutamate in the synaptic cleft 40 and was perturbed in all female AD compared to control cell types except oligodendrocytes and OPCs; and SPP1, a protein involved in neuroinflammation also known as Osteopontin 41 that we observed to be upregulated in AD versus control samples of both female and male excitatory neurons and microglia, as well as female astrocytes and inhibitory neurons.…”
Section: Dge Analysis In the Prefrontal Cortex Reveals Modest Sex-specific Disease Related Changes Specifically In Glial Cell Typessupporting
confidence: 90%
“…Recent metabolic and transcriptomic data add potential mechanistic explanations to the findings of this study 34 - 37 . For example, prior work has found that specific metabolic effects were limited to FACs.…”
Section: Discussionmentioning
confidence: 55%
“…This provides an additional line of support for the findings drawn in this work. Moreover, in-vitro and transcriptomic data has suggested that sex modulates neuroinflammation, another risk factor for AD, with inflammatory dysregulation being stronger in females with AD 37 , 38 . APOE ε4 also triggers neuroinflammatory cascades that cause neurovascular dysfunction resulting in leakage of blood derived toxic proteins into the brain 39 .…”
Section: Discussionmentioning
confidence: 99%
“…Recent studies in mice demonstrate that a second X chromosome may contribute to AD resilience 4 . Further sex-specific studies in AD also show sex modification of AD risk 8 , progression 9 , and molecular phenotype 912 . As such, sex is an important factor to consider in studying and phenotyping AD.…”
Section: Introductionmentioning
confidence: 88%
“…However, how sex modultes AD complexity and heterogeneity has still not been fully explored. Prior big data approaches to AD have examined genotype-phenotype associations 20, 21 and molecular analyses 12, 22, 23 to characterize AD disease and sex differences 10, 11 . Other work on phenotyping AD patients using clinical data has examined neuroimaging 24 , neuropsychiatric phenotype 25 , chart reviews 26 , and billing records independently.…”
Section: Introductionmentioning
confidence: 99%