What if the secret to slow aging isn't just in our genes, but in the story of our ancient family tree? A groundbreaking study suggests that's exactly where the answer might lie.

Researchers have discovered that aging rates among primates — from tiny lemurs to great apes — have remained remarkably steady for about 25 million years, even though different species live vastly different lengths of time. Humans, for instance, outlive every other primate on Earth.

Scientists at Calico Life Sciences LLC, CleMetric, and the University of Wisconsin-Madison analyzed life-history data for 39 different primate species using the Primate Aging Database, a collection of records from animal conservation sites and zoos worldwide. They applied a mathematical model first developed in 1825 by Benjamin Gompertz, who estimated that human aging increases at roughly 8% per year.

The team found something surprising: while the baseline risk of dying varied wildly between species, how quickly each species aged stayed nearly constant over millions of years of evolution.

"For me, the biggest discovery was that the aging rate of our distant ancestors, going back to the divergence of apes from Old World monkeys, was approximately the same as we see in humans today," said Eugene Melamud, the study's first author.

This means slow aging didn't evolve recently in humans — it traces back to our common ancestors with apes and monkeys. And that discovery has major implications for future research.

"This implies that slow aging evolved early in the history of apes and has remained approximately unchanged for the last 20–30 million years," Melamud explained. "Pragmatically, this also means that we are unlikely to discover the genetic basis of slow aging by studying human populations alone."

In other words, to truly understand why some primates age more slowly than others, scientists may need to compare multiple species side by side rather than focusing on humans in isolation.

Melamud and his colleagues are now planning to dig deeper into the Primate Aging Database, examining biochemical and physiological measurements to find which factors best predict how quickly a species ages. Their goal is to uncover the molecular mechanisms that might help slow the aging process.

The study was published in the journal Proceedings of the Royal Society B.