Machine learning model identifies oral microbe associated with extended biological lifespan

Scientists used an artificial intelligence platform named AURORA to analyze human biological aging patterns and screen for interventions that slow physical decline. As reported in Nature Aging by a research team led by Jing-Dong J. Han, the algorithm highlighted a common tongue bacterium, Neisseria flavescens, as a strong candidate for promoting longevity.

To verify the computational predictions, researchers tested the microbe in laboratory models. Live exposure to the bacteria prolonged both the lifespan and healthy active period of roundworms. In older mice, treatment with heat-treated bacteria helped revert liver gene activity, blood chemistry, and gut microbial profiles toward healthier, younger states.

These findings suggest that microbes in the mouth play an underappreciated role in body-wide aging processes. However, it remains uncertain whether increasing this specific microbe in humans through targeted supplements can safely yield anti-aging benefits without unintentionally disrupting the delicate balance of the oral ecosystem.