This study links proteomic profiles to cardiorespiratory fitness (CRF) in 14,145 individuals across four international cohorts. A proteomic CRF score was developed and validated, showing association with reduced all-cause mortality risk and multisystem disease risk. The score provided risk reclassification beyond clinical risk factors and modulated high polygenic risk. The score's dynamicity was observed in individuals undertaking exercise training, suggesting potential use for personalized exercise recommendations. Population-based proteomics provides biologically relevant molecular readouts of CRF, potentially modifiable and clinically translatable.
Publisher
Nature Medicine
Published On
Jun 04, 2024
Authors
Andrew S. Perry, Eric Farber-Eger, Tomas Gonzales, Toshiko Tanaka, Jeremy M. Robbins, Venkatesh L. Murthy, Lindsey K. Stolze, Shilin Zhao, Shi Huang, Laura A. Colangelo, Shuliang Deng, Lifang Hou, Donald M. Lloyd-Jones, Keenan A. Walker, Luigi Ferrucci, Eleanor L. Watts, Jacob L. Barber, Prashant Rao, Michael Y. Mi, Kelley Pettee Gabriel, Bjoern Hornikel, Stephen Sidney, Nicholas Houstis, Gregory D. Lewis, Gabrielle Y. Liu, Bharat Thyagarajan, Sadiya S. Khan, Bina Choi, George Washko, Ravi Kalhan, Nick Wareham, Claude Bouchard, Mark A. Sarzynski, Robert E. Gerszten, Soren Brage, Quinn S. Wells, Matthew Nayor, Ravi V. Shah
Tags
proteomic profiles
cardiorespiratory fitness
mortality risk
exercise training
personalized recommendations
multisystem disease risk
Related Publications
Explore these studies to deepen your understanding of the subject.
