Your liver reveals your true biological age
A new measure of biological aging looks not at your brain or your blood cells, but at your liver. And it predicts mortality more accurately than your date of birth.
Researchers developed the Liver Aging Index (LAI): a score calculated from fourteen variables, including blood pressure, blood glucose, cholesterol levels, and two liver imaging measurements. The study was validated in three large cohorts totaling tens of thousands of participants worldwide.
The results were striking. The index predicted mortality risk better than chronological age. In two validation cohorts, its discriminatory power (measured as AUROC) was around 0.76, which is considered strong for a biological aging clock. Each standard deviation of accelerated liver aging was associated with a 22 to 85 percent higher risk of all-cause mortality, and a 34 to 170 percent higher risk of liver-related events or death. The researchers emphasize these are preliminary estimates based on observational data.
The liver as an aging organ
What makes the findings particularly notable is the combination with genetic and proteomic analyses. These pointed to an unexpected involvement of the amyloid-beta clearance pathway in liver aging. That system is more commonly associated with Alzheimer’s disease research. The researchers suggest that liver aging and brain disease may share some molecular pathways, though they note this interpretation requires further investigation.
What does this mean in practice?
The LAI is fully non-invasive: all required values can be derived from standard blood tests and a liver ultrasound. That makes it potentially applicable in routine clinical settings. From a longevity research perspective, this is relevant because most aging clocks are expensive or difficult to scale.
Caveats remain. The clock was trained on specific populations and datasets, and its generalizability is uncertain. As with nearly all biological aging clocks, there is still limited direct evidence connecting the measured variables to the underlying mechanisms of aging. The researchers themselves call for more causal research before clinical conclusions are drawn.