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Chunk #34 — Results — Comparison with Brain Transcriptome Modules

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Molecular insights into the pathogenesis of Alzheimer's disease and its relationship to normal aging.
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In addition, we compared the gene expression profiling captured by the brain transcriptome modules with BioAge and the other disease-specific biomarkers discovered here. We found a strong correlation between M4/5, associated with microglia, and our Inflame biomarker (ρ = 0.92). In addition, “astrocytic” M15 positively correlates with BioAge (ρ = 0.83) and “neuronal” M16 negatively correlates with it (ρ = −0.93). We also found that none of the major brain transcriptome modules strongly correlated with either the neurodegenerative NdStress or AD-specific Alz biomarkers. This confirms that these expression patterns are novel patterns that can only be detected in brains affected by disease.