A holistic, computational, and data-driven framework for understanding the aging process as a complex network of interconnected molecular, cellular, and physiological dysfunctions rather than a single linear process. This approach integrates large-scale omics data—genomics, proteomics, and metabolomics—to model the entire biological system and identify the most critical, upstream regulatory nodes that drive age-related decline.
Origin
This approach is a direct application of systems biology principles, which originated in engineering and computer science, to the complex challenge of human longevity. It represents a necessary evolution from reductionist biological research, which often studies single pathways in isolation, to a comprehensive view of the aging organism.
Mechanism
The mechanism involves mapping the “interactome” of aging, identifying the core regulatory pathways, such as nutrient sensing and mitochondrial dysfunction, that are conserved across species. Interventions are then designed to simultaneously modulate multiple nodes within this network, such as activating AMPK while suppressing mTOR, to create a synergistic, anti-aging effect. This multi-target strategy aims to restore the youthful state of the entire physiological network.
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