A Hierarchical Process Model Links Behavioral Aging and Lifespan in C. elegans

Individuals who remain vigorous longer tend to live longer, supporting the design of predictive behavioral biomarkers of aging. In C. elegans, the timing of age-associated vigorous movement cessation (VMC) and lifespan correlate strongly between individuals. However, many genetic and pharmaceutical interventions that alter aging produce disproportional effects on VMC and lifespan, appearing to "uncouple" the rate of behavioral aging and lifespan. To study the causal structure underlying such uncoupling, we developed a high-throughput, automated imaging platform to quantify behavioral aging and lifespan at an unprecedented scale. Our method reveals an inverse correlation between each individuals vigorous movement span and their remaining lifespan. Robust across many lifespan-altering interventions including a new RNA-polymerase II auxin-inducible degron system, our data shows that individual C. elegans experience at least two distinct but coupled physical declines--one governing VMC and the other governing lifespan. Through simulations and modeling, we clarify the causal relationship between these two "biological ages" and highlight a crucial but often untested assumption in conventional aging biomarker research: predictive biomarkers may not always report on the same biological age as that which determines long-term health outcomes.