1243-Nonlinear Dynamics of Multi-omics During Human Aging
This research analyzes the nonlinear molecular changes that occur during human aging by tracking 108 participants through comprehensive multi-omics profiling. Unlike traditional models that assume aging is a constant linear decline, this study identifies two significant biological turning points at approximately 44 and 60 years of age. During these periods, thousands of molecules and microbes undergo dramatic shifts, impacting cardiovascular health, immune function, and metabolism. The findings suggest that the risk for specific age-related conditions, such as type 2 diabetes and kidney…
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