A study published in Nature Medicine journal describes how proteomic scores of cardiorespiratory fitness can help predict disease risk as well as all-cause and disease-specific mortality risks beyond genetic risk scores. Study Design: We developed and validated a circulating proteomic signature of CRF across four cohorts and various exercise modalities. In the UKB, we examined the relationship a proteomic CRF signature with a broad range of clinical endpoints and examined its interaction with polygenic risk.
In HERITAGE, we examined the association of the proteomic CRF signature with response to exercise training and correlated changes in signature with changes in CRF. NAFLD, nonalcoholic fatty liver disease . Proteomic analysis of cardiorespiratory fitness for prediction of mortality and multisystem disease risks Cardiorespiratory fitness (CRF) is a useful prognostic marker of improved health, quality of life, and longevity.
Assessing CRF in clinical settings is an effective approach to stratifying disease risk and promoting health. However, the widespread use of CRF for clinical decision-making is restricted by some factors, including lack of availability and reproducibility of tests and high expenses. Training-responsive biomarkers of CRF is an alternative approach that may address these limitations and enable the identification of pharmacological targets that mimic the effects of exercise.
Exercise induces multiple changes in the metabolic state, which is depicted by chan.
