Summarized by Masters of Longevity from Lifespan.io.
Reports which biomarkers best predict all-cause mortality by comparing proteomic, physical, cognitive, and imaging measures in an aging cohort.
Key Takeaways
- White matter volume, total brain volume, walking time, and the cognitive metric g had the most independent predictive power for mortality.
- Those four markers together explained 19% of variance in mortality risk while adding 17 other biomarkers increased explained variance by only 4%.
- GDF15 protein levels were the strongest proteomic predictor of mortality after lifestyle adjustment, second only to GrimAge2 overall.
