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DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023
Structural decomposition enables multi-omics dissection of common and organ-specific aging
He Huang1,2, Yi Li2, Qinglin Song2
1Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, 200438, China.
None:
Aging exhibits both systemic and organ-specific components, yet existing models struggle to disentangle their shared versus distinct biological determinants at the population level. We present a structural decomposition framework that partitions seven organ-based biological age gaps (BAGs) into a Common BAG (CBAG) and seven Organ-Specific BAGs (OSBAGs) in 501,388 UK Biobank participants. This dual-axis model outperforms undecomposed body/organ BAG approaches in predicting lifespan, healthspan, and organ-specific disease risk. A large-scale aging GWAS identifies 747 novel loci, complemented by integrative proteomic and metabolomic analyses that reveal causal and druggable targets, including CST1. Pathway-guided multi-omics demonstrates a modular aging architecture, with CBAG reflecting cross-tissue regulators (e.g., FOXO3) and OSBAGs capturing organ-restricted effectors (e.g., UMOD). Drug-aging profiling uncovers organ-specific pro-aging effects consistent with known toxicities that are largely missed by undecomposed models. Sex-stratified analyses further reveal divergent molecular trajectories between males and females. All findings are integrated into HONOR, the first open-access atlas for structural aging and multi-omics translation.
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