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Getting the latest healthcare news for you
Forget epigenetic clocks — plasma proteins may be the future of aging science. Stanford researcher Tony Wyss-Coray's latest work maps aging across 40 cell types in over 60,000 people, and the brain keeps rising to the top as the single strongest predictor of mortality. People with extremely aged brains face a 182% higher risk of death over 15 years compared to those with normal aging.
Forget epigenetic clocks — plasma proteins may be the future of aging science. Stanford researcher Tony Wyss-Coray, PhD, has built on his landmark plasma proteomic aging model to now map biological aging at the cellular level across 40 cell types in more than 60,000 people. The findings, published in Nature Medicine, consistently point to one standout organ: the brain.
In the organ-level analysis, brain age was the single strongest predictor of overall mortality — outpacing all other organ systems. At the cellular level, skeletal muscle cells ranked first for mortality risk, with neurons coming in second. The model also flagged links to conditions like COPD, lung cancer, type 2 diabetes, heart failure, and stroke.
What sets this approach apart from traditional aging clocks is its use of proteins — molecules with known biological functions — rather than DNA methylation patterns, making the data far more actionable for clinical translation. Wyss-Coray's next targets: studying how exercise, GLP-1 agonists, and metformin affect the pace of cellular aging.
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Why it matters: This research moves aging science closer to real clinical use — offering organ- and cell-specific biological targets for intervention, rather than a single, vague "biological age" number. For clinicians, it opens the door to identifying high-risk patients earlier and tailoring preventive strategies accordingly.
