Comprehensive assessment protocols that utilize deep molecular profiling to quantify biological age and predict future health trajectories with high resolution. These diagnostics move beyond standard clinical panels to evaluate biomarkers of aging, such as DNA methylation clocks and proteomic drift. We aim to establish a precise functional baseline for personalized longevity interventions.
Origin
This concept originates from the maturation of biomarker science, particularly integrating epigenetics and metabolomics into clinical risk stratification. The term signifies a shift from assessing current disease states to predicting intrinsic physiological wear and tear. It draws heavily from systems biology applied to the endocrine and metabolic domains.
Mechanism
The process involves analyzing a diverse array of functional readouts, including hormone metabolite ratios, cellular energy status indicators, and indicators of systemic inflammation. Correlation analysis then links these specific functional biomarkers to established aging phenotypes. This allows for the identification of actionable targets for optimizing the patient’s physiological trajectory.
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