bioRxivNeurosciencePreprint
Human brain aging heterogeneity observed from multi-region omics data reveals a subtype closely related to Alzheimer's disease
Shouneng PengiD, Erming WangiD, Minghui WangiD, Xusheng WangiD, Kaiwen YuiD, Yingxue FuiD, Suresh PoudeliD, Lap HoiD, Sushma Narayan, Derek M. HuffmaniD, Chris GaiteriiD, David A. Bennet, Michelle E. EhrlichiD, Vahram H. HaroutunianiD, Junmin PengiD, Bin ZhangiD, Zhidong TuiD
Abstract
INTRODUCTION: The interconnection between brain aging and Alzheimers disease (AD) remain to be elucidated. METHODS: We investigated multi-omics (transcriptomics and proteomics) data from multiple brain regions (i.e., the hippocampus (HIPP), prefrontal cortex (PFC), and cerebellum (CRBL)) in cognitively normal individuals. RESULTS: We found that brain samples could be divided into ADL (AD-like) and NL (normal) subtypes which were correlated across brain regions. The differentially expressed genes in the ADL samples highly overlapped with AD gene signatures and the changes were consistent across brain regions (PFC and HIPP) in the multi-omics data. Intriguingly, the ADL subtype in PFC showed more differentially expressed genes than other brain regions, which could be explained by the baseline gene expression differences in the PFC NL samples. DISCUSSION: We conclude that brain aging heterogeneity widely exists, and our findings corroborate with the hypothesis that AD-related changes occur decades before the clinical manifestation of cognitive impairment in a sub-population.
- organism: human
- assay: bulk RNA-seq
- assay: proteomics
- research focus: differential expression
- approach: statistical model
- Citations
- 1
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