Summarized by Masters of Longevity from Lifespan.io.
A deep learning proteomic biomarker called SASP Score quantifies circulating senescence-associated secretory phenotype and links higher scores to worse health outcomes.
Key Takeaways
- Researchers trained a GAET-based model on 50,997 UK Biobank proteomes using 38 SASP-related proteins to create SASP Score.
- Higher SASP Scores correlated with frailty markers and a roughly 1.4-fold increased all-cause mortality risk after covariate adjustment.
- In the MEDEX cohort, SASP Scores increased over 18 months in inactive participants but remained stable among those who exercised.
