Biomarkers
How to measure biological aging: epigenetic clocks, blood panels, and functional assessments.
Biological age tests compared: which ones are worth paying for?
TruAge, GlycanAge, Elysium Index, and more. What each measures, accuracy, and whether results are actionable.
Composite and system-level models: seeing aging as a whole
How composite biomarker models attempt to capture aging across multiple systems simultaneously, and their current limitations.
Epigenetic clocks: measuring biological age through DNA methylation
How Horvath, GrimAge, DunedinPACE, and other epigenetic clocks work, what they measure, and where they fall short as intervention trackers.
Functional and physiological biomarkers: what your body can actually do
Grip strength, gait speed, VO2 max, cognitive performance, and other functional measures that track real-world aging.
Inflammatory and immune markers: tracking the slow burn
Key inflammatory biomarkers for aging, including hsCRP, IL-6, TNF-alpha, and immune cell shifts, and what elevated levels signal.
Mitochondrial and metabolic measures: reading the engine
How to assess mitochondrial function and metabolic health through NAD+ levels, VO2 max, insulin sensitivity, and related markers.
Proteomic and multi-omic clocks: the next generation of aging measurement
How protein-based and multi-layered omic clocks aim to improve on DNA methylation alone, and where the field stands.
Telomere measures: what telomere length actually tells you
How telomere measurement works, what the data means for aging, and why telomere length alone is an incomplete biomarker.
Validation and translation constraints: why biomarker data is harder than it looks
The gap between biomarker measurement and actionable insight, including validation challenges, population mismatch, and interpretation traps.