BioAge

BioAge quantifies biological age from blood chemistry and organ-function-test data to provide measures usable as surrogate markers in epidemiology, population science, and geroscience clinical trials.

Key Features:

• Implementation of Established Methods: Implements Klemera-Doubal Biological Age (KDBA), which integrates chronological age and mortality risk to estimate biological age; PhenoAge, which combines chronological age with clinical biomarkers to predict lifespan; and the Homeostatic Dysregulation Index, which quantifies loss of physiological homeostasis.
• Customization and Flexibility: Allows parametrization of KDBA, PhenoAge, and Homeostatic Dysregulation algorithms using custom sets of biomarkers.
• Comparative Analysis: Enables comparison of customized measurements against published KDBA and PhenoAge algorithms for validation and benchmarking.
• Scoring in New Datasets: Provides functionality to compute biological age measures in external datasets.

Scientific Applications:

• Geroscience clinical trials: Used as surrogate measures for healthy lifespan extension in geroscience clinical trials.
• Epidemiology and population science: Applied in population-level and epidemiological studies to quantify biological aging.
• CALERIE randomized controlled trial: Applied to data from the CALERIE (Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy) randomized controlled trial to assess effects of calorie restriction in healthy, non-obese adults and provided evidence that calorie restriction can slow biological aging.

Methodology:

Implemented as an R package available at http://github.com/dayoonkwon/BioAge and leveraging publicly accessible software packages to compute biological aging measurements from blood chemistry data.