Sunday, December 22, 2024

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

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  • Shah, R. V. et al. Association of fitness in young adulthood with survival and cardiovascular risk: the Coronary Artery Risk Development in Young Adults (CARDIA) study. JAMA Intern. Med. 176, 87–95 (2016).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kodama, S. et al. Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis. JAMA 301, 2024–2035 (2009).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Mancini, D. M. et al. Value of peak exercise oxygen consumption for optimal timing of cardiac transplantation in ambulatory patients with heart failure. Circulation 83, 778–786 (1991).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Sandvik, L. et al. Physical fitness as a predictor of mortality among healthy, middle-aged Norwegian men. N. Engl. J. Med. 328, 533–537 (1993).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Wei, M. et al. Relationship between low cardiorespiratory fitness and mortality in normal-weight, overweight, and obese men. JAMA 282, 1547–1553 (1999).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Ross, R. et al. Importance of assessing cardiorespiratory fitness in clinical practice: a case for fitness as a clinical vital sign. A scientific statement from the American Heart Association. Circulation 134, e653–e699 (2016).

    Article 
    PubMed 

    Google Scholar
     

  • Balady, G. J. et al. Clinician’s guide to cardiopulmonary exercise testing in adults: a scientific statement from the American Heart Association. Circulation 122, 191–225 (2010).

    Article 
    PubMed 

    Google Scholar
     

  • Nayor, M. et al. Metabolic architecture of acute exercise response in middle-aged adults in the community. Circulation 142, 1905–1924 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Robbins, J. M. et al. Association of dimethylguanidino valeric acid with partial resistance to metabolic health benefits of regular exercise. JAMA Cardiol. 4, 636–643 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Robbins, J. M. et al. Human plasma proteomic profiles indicative of cardiorespiratory fitness. Nat. Metab. 3, 786–797 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Contrepois, K. et al. Molecular choreography of acute exercise. Cell 181, 1112–1130.e1116 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Nayor, M. et al. Integrative analysis of circulating metabolite levels that correlate with physical activity and cardiorespiratory fitness. Circ. Genom. Precis Med 15, e003592 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Shah, R. V. et al. Blood-based fingerprint of cardiorespiratory fitness and long-term health outcomes in young adulthood. J. Am. Heart Assoc. 11, e026670 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gonzales, T. I. et al. Descriptive epidemiology of cardiorespiratory fitness in UK adults: the Fenland Study. Med. Sci. Sports Exerc. 55, 507–516 (2023).

    Article 
    PubMed 

    Google Scholar
     

  • Shock, N. W. et al. Normal Human Aging: The Baltimore Longitudinal Study of Aging NIH publication 84-2450 (National Institutes of Health, 1984).

  • Williams, S. A. et al. Plasma protein patterns as comprehensive indicators of health. Nat. Med. 25, 1851–1857 (2019).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Klos, A. et al. The role of the anaphylatoxins in health and disease. Mol. Immunol. 46, 2753–2766 (2009).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Camus, G. et al. Anaphylatoxin C5a production during short-term submaximal dynamic exercise in man. Int. J. Sports Med. 15, 32–35 (1994).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Yang, F. et al. Proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease. BMC Med 21, 485 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Huttunen, H. J. & Saarma, M. CDNF protein therapy in Parkinson’s disease. Cell Transplant. 28, 349–366 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pimenta, A. F. et al. The limbic system-associated membrane protein is an Ig superfamily member that mediates selective neuronal growth and axon targeting. Neuron 15, 287–297 (1995).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Knupp, J., Arvan, P. & Chang, A. Increased mitochondrial respiration promotes survival from endoplasmic reticulum stress. Cell Death Differ. 26, 487–501 (2019).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Gonzalez-Garcia, I. et al. Olfactomedin 2 deficiency protects against diet-induced obesity. Metabolism 129, 155122 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Numao, S., Uchida, R., Kurosaki, T. & Nakagaichi, M. Differences in circulating fatty acid-binding protein 4 concentration in the venous and capillary blood immediately after acute exercise. J. Physiol. Anthropol. 40, 5 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Li, B., Syed, M. H., Khan, H., Singh, K. K. & Qadura, M. The role of fatty acid binding protein 3 in cardiovascular diseases. Biomedicines 10, 2283 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Huck, I., Morris, E. M., Thyfault, J. & Apte, U. Hepatocyte-specific hepatocyte nuclear factor 4 alpha (HNF4) deletion decreases resting energy expenditure by disrupting lipid and carbohydrate homeostasis. Gene Expr. 20, 157–168 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Carayol, J. et al. Protein quantitative trait locus study in obesity during weight-loss identifies a leptin regulator. Nat. Commun. 8, 2084 (2017).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Roxin, L. E., Hedin, G. & Venge, P. Muscle cell leakage of myoglobin after long-term exercise and relation to the individual performances. Int. J. Sports Med. 7, 259–263 (1986).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Wu, J. et al. The unfolded protein response mediates adaptation to exercise in skeletal muscle through a PGC-1alpha/ATF6alpha complex. Cell Metab. 13, 160–169 (2011).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zhao, Y. et al. GLIPR2 is a negative regulator of autophagy and the BECN1-ATG14-containing phosphatidylinositol 3-kinase complex. Autophagy 17, 2891–2904 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Khera, A. V. et al. Genetic risk, adherence to a healthy lifestyle, and coronary disease. N. Engl. J. Med. 375, 2349–2358 (2016).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Rutten-Jacobs, L. C. et al. Genetic risk, incident stroke, and the benefits of adhering to a healthy lifestyle: cohort study of 306 473 UK Biobank participants. Br. Med. J. 363, k4168 (2018).

    Article 

    Google Scholar
     

  • Al Ajmi, K., Lophatananon, A., Mekli, K., Ollier, W. & Muir, K. R. Association of nongenetic factors with breast cancer risk in genetically predisposed groups of women in the UK Biobank cohort. JAMA Netw. Open 3, e203760 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lourida, I. et al. Association of lifestyle and genetic risk with incidence of dementia. JAMA 322, 430–437 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Robbins, J. M. & Gerszten, R. E. Exercise, exerkines, and cardiometabolic health: from individual players to a team sport. J. Clin. Invest. 133, e168121 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Robbins, J. M. et al. Plasma proteomic changes in response to exercise training are associated with cardiorespiratory fitness adaptations. JCI Insight 8, e165867 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Maciel, L. et al. New cardiomyokine reduces myocardial ischemia/reperfusion injury by PI3K-AKT pathway via a putative KDEL-receptor binding. J. Am. Heart Assoc. 10, e019685 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Chow, L. S. et al. Exerkines in health, resilience and disease. Nat. Rev. Endocrinol. 18, 273–289 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lewis, G. D. et al. Metabolic signatures of exercise in human plasma. Sci. Transl. Med. 2, 33ra37 (2010).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Stanford, K. I. et al. 12,13-diHOME: an exercise-induced lipokine that increases skeletal muscle fatty acid uptake. Cell Metab. 27, 1111–1120.e1113 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Shah, R. et al. Small RNA-seq during acute maximal exercise reveal RNAs involved in vascular inflammation and cardiometabolic health. Am. J. Physiol. Heart Circ. Physiol. 13, H1162–H1167 (2017).

    Article 

    Google Scholar
     

  • Clausen, J. S. R., Marott, J. L., Holtermann, A., Gyntelberg, F. & Jensen, M. T. Midlife cardiorespiratory fitness and the long-term risk of mortality: 46 years of follow-up. J. Am. Coll. Cardiol. 72, 987–995 (2018).

    Article 
    PubMed 

    Google Scholar
     

  • Hansen, G. M. et al. Midlife cardiorespiratory fitness and the long-term risk of chronic obstructive pulmonary disease. Thorax 74, 843–848 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • Ekblom-Bak, E. et al. Association between cardiorespiratory fitness and cancer incidence and cancer-specific mortality of colon, lung, and prostate cancer among Swedish men. JAMA Netw. Open 6, e2321102 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wu, C. H. et al. Cardiorespiratory fitness is associated with sustained neurocognitive function during a prolonged inhibitory control task in young adults: an ERP study. Psychophysiology 59, e14086 (2022).

    Article 
    PubMed 

    Google Scholar
     

  • Nayor, M. et al. Physical activity and fitness in the community: the Framingham Heart Study. Eur. Heart J. 42, 4565–4575 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lewis, G. D. et al. Developments in exercise capacity assessment in heart failure clinical trials and the rationale for the design of METEORIC-HF. Circ. Heart Fail. 15, e008970 (2022).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Swank, A. M. et al. Modest increase in peak VO2 is related to better clinical outcomes in chronic heart failure patients: results from heart failure and a controlled trial to investigate outcomes of exercise training. Circ. Heart Fail. 5, 579–585 (2012).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kitzman, D. W. et al. Effect of caloric restriction or aerobic exercise training on peak oxygen consumption and quality of life in obese older patients with heart failure with preserved ejection fraction: a randomized clinical trial. JAMA 315, 36–46 (2016).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Sanford, J. A. et al. Molecular transducers of physical activity consortium (MoTrPAC): mapping the dynamic responses to exercise. Cell 181, 1464–1474 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jackson, A. S. et al. Prediction of functional aerobic capacity without exercise testing. Med. Sci. Sports Exerc. 22, 863–870 (1990).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Heil, D. P., Freedson, P. S., Ahlquist, L. E., Price, J. & Rippe, J. M. Nonexercise regression models to estimate peak oxygen consumption. Med. Sci. Sports Exerc. 27, 599–606 (1995).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Whaley, M. H., Kaminsky, L. A., Dwyer, G. B. & Getchell, L. H. Failure of predicted VO2peak to discriminate physical fitness in epidemiological studies. Med. Sci. Sports Exerc. 27, 85–91 (1995).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • George, J. D., Stone, W. J. & Burkett, L. N. Non-exercise VO2max estimation for physically active college students. Med. Sci. Sports Exerc. 29, 415–423 (1997).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Matthews, C. E., Heil, D. P., Freedson, P. S. & Pastides, H. Classification of cardiorespiratory fitness without exercise testing. Med. Sci. Sports Exerc. 31, 486–493 (1999).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Malek, M. H., Housh, T. J., Berger, D. E., Coburn, J. W. & Beck, T. W. A new nonexercise-based VO2max equation for aerobically trained females. Med. Sci. Sports Exerc. 36, 1804–1810 (2004).

    Article 
    PubMed 

    Google Scholar
     

  • Malek, M. H., Housh, T. J., Berger, D. E., Coburn, J. W. & Beck, T. W. A new non-exercise-based Vo2max prediction equation for aerobically trained men. J. Strength Cond. Res. 19, 559–565 (2005).

    PubMed 

    Google Scholar
     

  • Jurca, R. et al. Assessing cardiorespiratory fitness without performing exercise testing. Am. J. Prev. Med. 29, 185–193 (2005).

    Article 
    PubMed 

    Google Scholar
     

  • Bradshaw, D. I. et al. An accurate VO2max nonexercise regression model for 18-65-year-old adults. Res. Q. Exerc. Sport 76, 426–432 (2005).

    Article 
    PubMed 

    Google Scholar
     

  • Nes, B. M. et al. Estimating V·O 2peak from a nonexercise prediction model: the HUNT Study, Norway. Med. Sci. Sports Exerc. 43, 2024–2030 (2011).

    Article 
    PubMed 

    Google Scholar
     

  • Cao, Z. B. et al. Prediction of VO2max with daily step counts for Japanese adult women. Eur. J. Appl. Physiol. 105, 289–296 (2009).

    Article 
    PubMed 

    Google Scholar
     

  • Cao, Z. B. et al. Predicting VO2max with an objectively measured physical activity in Japanese women. Med. Sci. Sports Exerc. 42, 179–186 (2010).

    Article 
    PubMed 

    Google Scholar
     

  • Cao, Z. B., Miyatake, N., Higuchi, M., Miyachi, M. & Tabata, I. Predicting VO2max with an objectively measured physical activity in Japanese men. Eur. J. Appl. Physiol. 109, 465–472 (2010).

    Article 
    PubMed 

    Google Scholar
     

  • Cai, L. et al. Causal associations between cardiorespiratory fitness and type 2 diabetes. Nat. Commun. 14, 3904 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Spathis, D. et al. Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments. NPJ Digit. Med. 5, 176 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Katz, D. H. et al. Proteomic profiling platforms head to head: leveraging genetics and clinical traits to compare aptamer- and antibody-based methods. Sci. Adv. 8, eabm5164 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • da Silva, W. A. B. et al. Physical exercise increases the production of tyrosine hydroxylase and CDNF in the spinal cord of a Parkinson’s disease mouse model. Neurosci. Lett. 760, 136089 (2021).

    Article 
    PubMed 

    Google Scholar
     

  • Graham, J. R. et al. Serine protease HTRA1 antagonizes transforming growth factor-beta signaling by cleaving its receptors and loss of HTRA1 in vivo enhances bone formation. PLoS ONE 8, e74094 (2013).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lee, J. et al. EWSR1, a multifunctional protein, regulates cellular function and aging via genetic and epigenetic pathways. Biochim. Biophys. Acta, Mol. Basis Dis. 1865, 1938–1945 (2019).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Jung, I. H. et al. SVEP1 is a human coronary artery disease locus that promotes atherosclerosis. Sci. Transl. Med. 13, eabe0357 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Nakamura, R. et al. Serum fatty acid-binding protein 4 (FABP4) concentration is associated with insulin resistance in peripheral tissues, a clinical study. PLoS ONE 12, e0179737 (2017).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wagenknecht, L. E. et al. Cigarette smoking behavior is strongly related to educational status: the CARDIA study. Prev. Med. 19, 158–169 (1990).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Dyer, A. R. et al. Alcohol intake and blood pressure in young adults: the CARDIA Study. J. Clin. Epidemiol. 43, 1–13 (1990).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Bild, D. E. et al. Physical activity in young black and white women. The CARDIA Study. Ann. Epidemiol. 3, 636–644 (1993).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Sidney, S. et al. Comparison of two methods of assessing physical activity in the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Am. J. Epidemiol. 133, 1231–1245 (1991).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Sidney, S. et al. Symptom-limited graded treadmill exercise testing in young adults in the CARDIA study. Med. Sci. Sports Exerc. 24, 177–183 (1992).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Pettee Gabriel, K. et al. Factors associated with age-related declines in cardiorespiratory fitness from early adulthood through midlife: CARDIA. Med. Sci. Sports Exerc. 54, 1147–1154 (2022).

    Article 
    PubMed 

    Google Scholar
     

  • Lindsay, T. et al. Descriptive epidemiology of physical activity energy expenditure in UK adults (the Fenland study). Int J. Behav. Nutr. Phys. Act. 16, 126 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ferrucci, L. The Baltimore Longitudinal Study of Aging (BLSA): a 50-year-long journey and plans for the future. J. Gerontol. A Biol. Sci. Med. Sci. 63, 1416–1419 (2008).

    Article 
    PubMed 

    Google Scholar
     

  • Simonsick, E. M., Fan, E. & Fleg, J. L. Estimating cardiorespiratory fitness in well-functioning older adults: treadmill validation of the long distance corridor walk. J. Am. Geriatr. Soc. 54, 127–132 (2006).

    Article 
    PubMed 

    Google Scholar
     

  • Bouchard, C. et al. The HERITAGE family study. Aims, design, and measurement protocol. Med. Sci. Sports Exerc. 27, 721–729 (1995).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Protocol for a Large-Scale Prospective Epidemiological Resource (UK Biobank, 2006); www.ukbiobank.ac.uk/media/gnkeyh2q/study-rationale.pdf

  • Carnethon, M. R. et al. Association of 20-year changes in cardiorespiratory fitness with incident type 2 diabetes: the coronary artery risk development in young adults (CARDIA) fitness study. Diabetes Care 32, 1284–1288 (2009).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Balke, B. & Ware, R. W. An experimental study of physical fitness of Air Force personnel. US Armed Forces Med. J. 10, 675–688 (1959).

    CAS 

    Google Scholar
     

  • Brage, S., Brage, N., Franks, P. W., Ekelund, U. & Wareham, N. J. Reliability and validity of the combined heart rate and movement sensor Actiheart. Eur. J. Clin. Nutr. 59, 561–570 (2005).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Tanaka, H., Monahan, K. D. & Seals, D. R. Age-predicted maximal heart rate revisited. J. Am. Coll. Cardiol. 37, 153–156 (2001).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Brage, S. et al. Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activity. J. Appl. Physiol. (1985) 103, 682–692 (2007).

    Article 
    PubMed 

    Google Scholar
     

  • Pietzner, M. et al. Synergistic insights into human health from aptamer- and antibody-based proteomic profiling. Nat. Commun. 12, 6822 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Candia, J., Daya, G. N., Tanaka, T., Ferrucci, L. & Walker, K. A. Assessment of variability in the plasma 7k SomaScan proteomics assay. Sci. Rep. 12, 17147 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Sun, B. B. et al. Plasma proteomic associations with genetics and health in the UK Biobank. Nature 622, 329–338 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gonzales, T. I. et al. Cardiorespiratory fitness assessment using risk-stratified exercise testing and dose-response relationships with disease outcomes. Sci. Rep. 11, 15315 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wu, P. et al. Mapping ICD-10 and ICD-10-CM codes to phecodes: workflow development and initial evaluation. JMIR Med. Inf. 7, e14325 (2019).

    Article 

    Google Scholar
     

  • Thompson, D. J. et al. UK Biobank release and systematic evaluation of optimised polygenic risk scores for 53 diseases and quantitative traits. Preprint at medRxiv https://doi.org/10.1101/2022.06.16.22276246 (2022).

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