ArticleNature medicine2024
Proteomic analysis of cardiorespiratory fitness for prediction of mortality and multisystem disease risks.
Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Integrative plasma proteomic network analysis identifies physical activity-associated protein modules potentially mediating type 2 diabetes risk.Cardiovascular diabetology · 2026Article
- Paediatric proteomic signatures of cardiometabolic disease-associated traits predict adult disease outcomes.Nature metabolism · 2026Article
- Metabolomic and Proteomic Signatures of Cardiorespiratory Fitness for Predicting All-Cause Mortality and Non-Communicable Disease Risk: A Prospective Study in the UK Biobank.Circulation. Genomic and precision medicine · 2026Article
- Cardiorespiratory Fitness Reference Standards and Prognostic Stratification in Chinese Patients With Cardiovascular Disease.JACC. Asia · 2026Article
- Plasma proteomic signatures of early retinal neurodegeneration in diabetes: A multi-cohort study.PLoS medicine · 2026Observational
- Occupation Associated with Altered Steroid Hormone Metabolism in Men: A Cross-Sectional Metabolome-Wide Association Study.Research square · 2026Article
- System-level clustering of testosterone-related biomarkers identifies high-risk aging profiles linked to inflammation and renal function.Communications medicine · 2026Article
- Multi-Organ Physiologic Deficits During Exercise Identify Clinical and Molecular Predisposition to Heart Failure with Preserved Ejection Fraction.Circulation · 2026Article
- Physical Fitness Is Negatively Associated With DNA Methylation-Based Risk of Aging-Related Diseases.Aging cell · 2026Article
- Adherence to the EAT-Lancet Diet and Risk of Sepsis: A Prospective Cohort Study from the UK Biobank.NPJ science of food · 2026Article
- Blood Biochemical Responses to Acute Exercise: Findings from the Molecular Transducers of Physical Activity Consortium (MoTrPAC).bioRxiv : the preprint server for biology · 2026Article
- Refined Heart Failure Stages Incorporating Cardiorespiratory Fitness Are Differentially Associated With Heart Failure Risk in the Community.Journal of the American Heart Association · 2026Observational
- A Road Map to Understanding Cardiovascular Disease in Diabetes: From the AHA Strategically Focused Research Network in Cardiometabolic Health and Type 2 Diabetes.Circulation research · 2026Review
- Article
- Acute exercise rewires the proteomic landscape of human immune cells.Nature communications · 2026Article
- Effects of exercise snacks on physical and mental health among sedentary students: a randomized controlled trial study protocol.Frontiers in psychiatry · 2026Article
- Tumor Signatures of Physical Fitness: Insights from a Preclinical Model.Medicine and science in sports and exercise · 2026Article
- Obesity and Exercise: New Insights and Perspectives.Endocrine reviews · 2025Review
- Gompertz Law-Based Biological Age (GOLD BioAge): A Simple and Practical Measurement of Biological Ageing to Capture Morbidity and Mortality Risks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Large-scale evaluation of proteomic and polygenic risk scores reveals complementary contributions to incident disease prediction.medRxiv : the preprint server for health sciences · 2025Article
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Authors and funding
38 authors.
Funding
Abstract
Despite the wide effects of cardiorespiratory fitness (CRF) on metabolic, cardiovascular, pulmonary and neurological health, challenges in the feasibility and reproducibility of CRF measurements have impeded its use for clinical decision-making. Here we link proteomic profiles to CRF in 14,145 individuals across four international cohorts with diverse CRF ascertainment methods to establish, validate and characterize a proteomic CRF score. In a cohort of around 22,000 individuals in the UK Biobank, a proteomic CRF score was associated with a reduced risk of all-cause mortality (unadjusted hazard ratio 0.50 (95% confidence interval 0.48-0.52) per 1 s.d. increase). The proteomic CRF score was also associated with multisystem disease risk and provided risk reclassification and discrimination beyond clinical risk factors, as well as modulating high polygenic risk of certain diseases. Finally, we observed dynamicity of the proteomic CRF score in individuals who undertook a 20-week exercise training program and an association of the score with the degree of the effect of training on CRF, suggesting potential use of the score for personalization of exercise recommendations. These results indicate that population-based proteomics provides biologically relevant molecular readouts of CRF that are additive to genetic risk, potentially modifiable and clinically translatable.
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