Watching a lifetime of a small vertebrate reveals the process of aging

Amazing stuff!

"In brief

• Stanford researchers studied African killifish to explore links between behavior and aging, revealing varied aging paths in similar environments.
• Findings show early behavioral differences, like sleep patterns, can predict lifespan potential in individuals, suggesting insights for human aging.
• The study’s implications extend to developing interventions for healthier aging, leveraging technology to track behavioral changes in real-time.

By midlife, an animal’s everyday behaviors can signal how long it is likely to live. ...

One of the team’s most surprising findings was how early individual aging paths begin to diverge. After following each fish through its entire lifespan, the researchers grouped animals based on how long they ultimately lived and then looked back to see when behavioral differences first emerged. They found that by early midlife (70 to 100 days of age), fish that would go on to live shorter or longer lives were already behaving differently. ...

Aging unfolds in steps [stages?]

The team’s observations also revealed that aging – in killifish, at least – does not progress as a smooth, gradual drift. Most of the fish underwent two to six rapid behavioral transitions, each lasting just a few days, followed by longer, stable stages that lasted weeks. Importantly, fish tended to progress through these stages in sequence, rather than switching back and forth between them. ...

The African turquoise killifish made that question experimentally possible. With a typical lifespan of just four to eight months, it is one of the shortest-lived vertebrates studied in the lab, yet it shares key biological features with longer-lived species like humans, including a complex brain. ..."

From the abstract:

"Mapping behavior of individual vertebrate animals across lifespan is challenging, but if achieved, could provide an unprecedented view into the life-long process of aging.

We created the first platform for high-resolution continuous behavioral tracking of a vertebrate animal across natural lifespan from adolescence to death—here, of the African killifish. This behavioral screen revealed that animals follow distinct individual aging trajectories.
The behaviors of long-lived animals differed markedly from those of short-lived animals, even relatively early in life, and were linked to organ-specific transcriptomic shifts.

Machine learning models accurately predicted age and even forecasted an individual’s future lifespan, given only behavior at a young age. Finally, we found that animals progressed through adulthood in a sequence of stable and stereotyped behavioral stages with abrupt transitions suggesting a novel structure for the architecture of vertebrate aging."

Watching a lifetime in motion reveals the architecture of aging | Stanford Report "Scientists tracking the entire life of the African turquoise killifish have discovered that behavior alone can predict whether an animal will live a long or short life."

Life-long behavioral screen reveals an architecture of vertebrate aging (preprint, open access)

Fig. 1 System enables continuous behavioral tracking from adolescence to death.