The research identified blood biomarkers of age-related chronic inflammation and derived a ‘metric’ for age-related multi-morbidity, which is the result of cumulative damage, as measured by the accumulation of up to 10 diseases of aging (cancer, cardiovascular, respiratory, gastrointestinal, urologic, neurologic, endocrine metabolic, musculoskeletal, genital-reproductive and psychiatric) and can also be used for early detection of immune decline and cardiovascular aging. The result was the derivation of two important health measures:
- Systemic Chronic Inflammation Index (SCI Index®) – derived by comparing immune protein levels to people with the same chronological age from the 1000 Immunomes Project at Stanford University; and
- Inflammatory clock of aging (iAge®) – showing how much older/younger a person appears with respect to his(her) chronological age.
iAge® and the SCI index® are predictors of multi-morbidity and immunosenescence.
The dataset has enabled us for the first time to identify reliable biomarkers of aging and disease in a longitudinal population-based study of immunology and aging. The Stanford Project provides reference values for thousands of immune variables and identifies clusters of individuals sharing similar health versus disease immune profiles.