Novel Blood Test May Predict Rate of Aging, Dementia Risk

Diagnostics of the human aging process may help predict future healthcare needs or guide preventative measures for tackling diseases of older age. We take a transcriptomics approach to build the first reproducible multi-tissue RNA expression signature by gene-chip profiling tissue from sedentary normal subjects who reached 65 years of age in good health.

One hundred and fifty probe-sets form an accurate classifier of young versus older muscle tissue and this healthy aging RNA classifier performed consistently in independent cohorts of human muscle, skin and brain tissue (n = 594, AUC = 0.83–0.96) and thus represents a biomarker for biological age.

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