加齢時計から臓器ネットワークへ：生物学的年齢駆動型の臓器非同期性と死亡リスクを形成する臓器間相互作用

Ageing is a multidimensional and heterogeneous process that progresses asynchronously across organ systems. Advances in multi-omics technologies have led to the development of diverse ageing clocks, including epigenetic, proteomic, metabolomic, and imaging-based models, which extend beyond estimating crude biological age to more precisely capture organ-specific ageing trajectories and predict age-related diseases and mortality risk. Population-scale studies demonstrate substantial within-individual variation in organ-ageing rates, showing that accelerated ageing in specific organs and increased numbers of aged organs markedly contribute to systemic dysregulation and elevated mortality risk. Multi-organ-ageing clocks further highlight the role of organ crosstalk networks, such as cardiovascular-pulmonary-cerebral interactions, in shaping healthspan and survival. Building on these insights, we propose a conceptual artificial intelligence (AI)-driven multi-omics health platform that integrates clinical data, imaging, wearable sensors, and organ-specific ageing clocks to enable continuous monitoring of biological age and early risk detection. This platform supports stratified management, whereby individuals with mild ageing may benefit from lifestyle-based interventions, while those with accelerated or multi-organ ageing receive personalised pharmacological and clinical strategies. Together, multi-omics ageing clocks and AI-enabled analytics provide a transformative framework for understanding human ageing, shifting from single-organ assessment to network-level evaluation and precision anti-ageing interventions. These advances lay the groundwork for a scalable national health ecosystem aimed at extending healthy lifespan and reducing population-wide mortality risk.