Longevity Biomarkers
Longevity biomarkers are measurable indicators that predict health span and remaining lifespan more accurately than chronological age. The most validated include VO2max, epigenetic age (Horvath clock, PhenoAge), omega-3 index, C-reactive protein, fasting insulin, homocysteine, ferritin, and IGF-1. Tracking these longitudinally — rather than waiting for disease — enables early detection of drift and personalised intervention. Newer tools such as GlycanAge (based on immunoglobulin G glycosylation) and multi-omic panels are expanding precision. The goal is to identify and reverse accelerated biological aging before irreversible damage occurs.
Viewpoints
Steve Horvath: People age at dramatically different biological rates detectable by biomarkers
Steve Horvath
“Using epigenetic and multi-omic biomarker panels, it is clear that people of the same chronological age can differ by a decade or more in biological age — and this difference predicts health outcomes and mortality risk. This means chronological age is a poor proxy for physiological status, and that tracking biological age biomarkers provides actionable early warning before clinical disease appears.”
Morgan Levine: Epigenetic clocks are the only biomarker that can compare aging across tissues
Morgan Levine
“Unlike blood markers that only reflect systemic processes, epigenetic methylation clocks can be applied to any tissue — brain, skin, liver, muscle — using the exact same measurement framework. This tissue-agnostic property makes them uniquely powerful for understanding organ-specific aging rates and identifying which tissues are aging fastest in a given individual.”
Key Moments
Valter Longo: Top longevity biomarkers to track include IGF-1, insulin, and inflammatory markers
Valter Longo
“The most informative longevity biomarkers cluster around three axes: metabolic (fasting insulin, glucose, IGF-1), inflammatory (CRP, cytokines), and body composition. Regular monitoring of these markers — ideally combined with periodic imaging — provides a practical dashboard for detecting whether interventions are moving biology in the right direction before end-point disease events occur.”
Bill Harris: The omega-3 index predicted sudden cardiac death 17 years in advance
Bill Harris
“In the Physicians Health Study, omega-3 index measured from stored blood samples predicted sudden cardiac death 17 years later — demonstrating that it captures cardiovascular risk information that standard lipid panels miss. An omega-3 index above 8% is associated with dramatically lower cardiac event risk and is now regarded as one of the most actionable longevity biomarkers available from a standard blood draw.”
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