Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure
Open accessPublished version of a preprint
Abstract
BACKGROUND: Alzheimer's disease (AD) is characterized by neuronal loss and astrocytosis in the cerebral cortex. However, the specific effects that pathological mutations and coding variants associated with AD have on the cellular composition of the brain are often ignored. METHODS: We developed and optimized a cell-type-specific expression reference panel and employed digital deconvolution methods to determine brain cellular distribution in three independent transcriptomic studies. RESULTS: We found that neuronal and astrocyte relative proportions differ between healthy and diseased brains and also among AD cases that carry specific genetic risk variants. Brain carriers of pathogenic mutations in APP, PSEN1, or PSEN2 presented lower neuron and higher astrocyte relative proportions compared to sporadic AD. Similarly, the APOE ε4 allele also showed decreased neuronal and increased astrocyte relative proportions compared to AD non-carriers. In contrast, carriers of variants in TREM2 risk showed a lower degree of neuronal loss compared to matched AD cases in multiple independent studies. CONCLUSIONS: These findings suggest that genetic risk factors associated with AD etiology have a specific imprinting in the cellular composition of AD brains. Our digital deconvolution reference panel provides an enhanced understanding of the fundamental molecular mechanisms underlying neurodegeneration, enabling the analysis of large bulk RNA-sequencing studies for cell composition and suggests that correcting for the cellular structure when performing transcriptomic analysis will lead to novel insights of AD.
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Digital deconvolution showed no significant differences in the percentage of neurons, astrocytes and microglia in the prefrontal cortex of alcoholics and controls.
“Digital deconvolution showed no significant differences in the percentage of neurons, astrocytes and microglia in the PFC of alcoholics and controls (Supplementary Figure 3)21; therefore we did not perform any correction for cell-type heterogeneity.”
From Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism (2019) · cites this paper as [21]
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References 68 · Cited by 56
Research works printed but not linked: 1
- [5]Benitez BA Cruchaga C TREM2 and neurodegenerative disease N Engl J Med 2013 369 1567 1568 24131187 PMC4380008
- Authors
- The Dominantly Inherited Alzheimer Network (DIAN), Li, Z., Del-Aguila, J. L., Dube, U., Budde, J., Martinez, R., Black, K., Xiao, Q., Cairns, N. J., Dougherty, J. D., Lee, J.-M., Morris, J. C., Bateman, R. J., Karch, C. M., Cruchaga, C., & Harari, O.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Cruchaga, Carlos
- Harari, Oscar
- ORCID
- Venue
- Genome Medicine
- Published
- 2018-06-08
- Volume
- 10
- Issue
- 1
- Pages
- 43-43
- ISSN
- 1756-994X (ISSN-L)
- PMC
- PMC5992755
- OpenAlex
- W2791435783
- Cited by
- 56
- References
- 68
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 9 · 2023: 4 · 2022: 12 · 2021: 10 · 2020: 5 · 2019: 11 · 2018: 2
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome Medicine (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (R01-AG044546, P01-AG003991, R01-AG035083, R01-NS085419, K01AG046374)
- National Institute on Aging (RF1AG053303, P50-AG05681, P01-AG03991, P01-AG026276, U19AG032438)
- Alzheimer's Association (NIRG-11-200110)
- BrightFocus Foundation (A2013359S)
- Brain and Behavior Research Foundation (R01NS102272)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, cerebral cortex, cell type composition, astrocytes, neurons, APP mutations, presenilin 1, presenilin 2, APOE ε4, TREM2, genetic risk variants, neurodegeneration
- MeSH terms
- Adult, Aged, 80 and over, Alleles, Alzheimer Disease, Astrocytes, Cerebral Cortex, Demography, Female, Humans, Male, Membrane Glycoproteins, Middle Aged, Nerve Degeneration, Neurons, Receptors, Immunologic, Genetic Variation, Reproducibility of Results, Sequence Analysis, RNA, Age of Onset, Apolipoprotein E4, Transcriptome
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