ArticleAging cell2024
Integrative multi-omics analysis reveals the critical role of the PBXIP1 gene in Alzheimer's disease.
Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Multi-omics and high-spatial-resolution omics: deciphering complexity in neurological disorders.GigaScience · 2025Pooled it
- Integrated multi-omics analysis identifies potential therapeutic targets for Alzheimer's disease.Neural regeneration research · 2026Article
- Multilayer Proteome and Metabolome-Based Validation Uncovers Combined Regulatory Roles and Predictive Values of 6 RNA Modifications and Cellular Senescence in Alzheimer's Disease.CNS neuroscience & therapeutics · 2026Article
- Integration of aged brain multi-omics reveals cross-system mechanisms underlying Alzheimer's disease heterogeneity.Cell reports · 2026Article
- Article
- PDLIM2 deficiency mediated by PBXIP1 promotes the proliferation of HCC cells through reducing the polyubiquitination and degradation of TRIM27.European journal of medical research · 2025Article
- Systematic Review: Proteomics-Driven Multi-Omics Integration for Alzheimer's Disease Pathology and Precision Medicine.Neurology international · 2025Review
- Combined multi-omics and brain pathology reveal novel biomarkers for alzheimer's disease.Scientific reports · 2025Article
- Integration of aged brain multi-omics reveals cross-system mechanisms underlying Alzheimer's disease heterogeneity.bioRxiv : the preprint server for biology · 2025Article
- DNA Methylation in Alzheimer's Disease.Current topics in behavioral neurosciences · 2025Review
- Integrative multi-omics analysis reveals the critical role of the PBXIP1 gene in Alzheimer's disease.Aging cell · 2024Article
- Unraveling the mechanisms of NK cell dysfunction in aging and Alzheimer's disease: insights from GWAS and single-cell transcriptomics.Frontiers in immunology · 2024Article
- The ROSMAP project: aging and neurodegenerative diseases through omic sciences.Frontiers in neuroinformatics · 2024Review
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.