Medicine and Health

Proteomic analysis of cardiorespiratory fitness for prediction of mortality and multisystem disease risks

A. S. Perry, E. Farber-eger, et al.

This groundbreaking research links proteomic profiles to cardiorespiratory fitness in over 14,000 individuals, revealing a novel proteomic CRF score associated with lower mortality risk and potential for personalized exercise recommendations. This innovative study, conducted by a team of leading researchers, showcases the promising future of population-based proteomics in understanding health.

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Abstract

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

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