Blood-Based Proteomic Score Developed to Predict Healthspan and Chronic Disease Risk

Researchers have developed a blood-based proteomic signature capable of predicting an individual’s healthspan, or the length of time they are likely to live in good health. The findings, published in the *Proceedings of the National Academy of Sciences*, introduce the Healthspan Proteomic Score (HPS), a tool designed to assess biological aging and evaluate risks for various chronic diseases. The study was conducted by scientists at the UConn School of Medicine in collaboration with researchers from the University of Helsinki and the University of Exeter.

The HPS leverages protein biomarkers found in blood samples to provide insights into an individual’s overall health trajectory. By analyzing these proteins, researchers aim to better understand how biological aging correlates with disease susceptibility and longevity. The study highlights the potential applications of this score in identifying individuals at higher risk for chronic conditions, offering a new avenue for preventative healthcare strategies. Researchers describe it as a significant step forward in linking molecular biology with practical assessments of long-term health outcomes.

Newsflash | Powered by GeneOnline AI

Source: GO-AI-ne1

Date: June 9, 2025

Related posts:

Chinese Biopharma Licensing Deals Hit $41.5 Billion in 2024, Up 66% Social Media Use Tied to Self-Esteem in Teens; Girls Spending Over Three Hours Daily on Image-Focused Platforms Report Lower Self-Worth. AI Integration with Real-World Evidence Explored in June 2023 Webinar to Enhance Drug Discovery and Patient Treatment Pathways Trump’s 2026 Budget Proposal Includes 43% Cut to NIH Grants for Research Institutions

Author

Mark Chiang