Integrative multi-omics analysis reveals the critical role of the PBXIP1 gene in Alzheimer's disease.
Jingyun ZhangXiaoyi SunXueqing JiaBinggui SunShijun XuWei-Ping ZhangZuyun LiuPublished in: Aging cell (2023)
Alzheimer's disease (AD) is a neurodegenerative disorder, and its strongest risk factor is aging. A few studies have explored the relationship between aging and AD, while the underlying mechanism remains unclear. We assembled data across multi-omics (i.e., epigenetics, transcriptomics, and proteomics, based on frozen tissues from the dorsolateral prefrontal cortex) and neuropathological and clinical traits from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP). Aging was assessed using six DNA methylation clocks (including the Horvath clock, Hannum clock, Levine clock, HorvathSkin clock, Lin clock, and Cortical clock) that capture mortality risk in literature. After accounting for age, we first identified a gene module (including 263 genes) that was related to the integrated aging measure of six clocks, as well as three neuropathological traits of AD (i.e., β-amyloid, Tau tangles, and tangle density). Interestingly, among 20 key genes with top intramodular connectivity of the module, PBXIP1 was the only one that was significantly associated with all three neuropathological traits of AD at the protein level after Bonferroni correction. Furthermore, PBXIP1 was associated with the clinical diagnosis of AD in both ROSMAP and three independent datasets. Moreover, PBXIP1 may be related to AD through its role in astrocytes and hippocampal neurons, and the mTOR pathway. The results suggest the critical role of PBXIP1 in AD and support the potential and feasibility of using multi-omics data to investigate mechanisms of complex diseases. However, more validations in different populations and experiments in vitro and in vivo are required in the future.
Keyphrases
- genome wide
- dna methylation
- prefrontal cortex
- single cell
- genome wide identification
- copy number
- gene expression
- working memory
- electronic health record
- systematic review
- risk factors
- mass spectrometry
- big data
- cell proliferation
- quality improvement
- multiple sclerosis
- spinal cord
- risk assessment
- machine learning
- white matter
- spinal cord injury
- genome wide analysis
- cerebrospinal fluid
- transcription factor
- brain injury
- mild cognitive impairment
- resting state
- blood brain barrier