{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T13:45:06Z","timestamp":1792676706946,"version":"4.5.0"},"reference-count":23,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"4","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Circ: Genomic and Precision Medicine"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:sec>\n                    <jats:title>BACKGROUND:<\/jats:title>\n                    <jats:p>Cardiorespiratory fitness (CRF) is a strong predictor of mortality and noncommunicable disease risk, but its underlying molecular mechanisms are poorly understood. In this study, we identified 2 signatures of CRF (1 metabolomic and 1 proteomic) from UK Biobank participants who completed a risk-stratified submaximal cycle ergometer test, with CRF estimated from the heart rate response to incremental workload.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS:<\/jats:title>\n                    <jats:p>These signatures were validated in an independent sample of UK participants with data on metabolomics (n=354\u2009222) and proteomics (n=29\u2009961) to investigate prospective associations with all-cause mortality and noncommunicable diseases. Prospective associations were evaluated using Cox proportional hazards models adjusted for age, sex, ethnicity, socioeconomic status, lifestyle factors (including smoking, alcohol intake, diet, and body mass index), and relevant medical history.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS:<\/jats:title>\n                    <jats:p>\n                      Our findings reveal that higher CRF is characterized by downregulation of pathways related to inflammation, triglyceride metabolism, glycolysis, and vascular dysfunction, and upregulation of pathways related to cholesterol transport, apolipoprotein particle size, and cytoskeletal remodeling. Leveraging these insights, we developed 2 novel signatures of CRF (1 metabolomic and 1 proteomic) that robustly reflect CRF levels (R\n                      <jats:sup>2<\/jats:sup>\n                      : 0.50\u20130.60). Over an average of 9 years of follow-up, we observed 27\u2009659 cases of all-cause mortality. Across the discovery and validation cohorts, we found that the metabolomic signature of CRF was strongly associated with a 39% to 54% lower risk of all-cause mortality and markedly reduced risk of type 2 diabetes (90% in both), cardiovascular disease (42%\u201347%), and colorectal cancer (33%\u201339%). Additionally, the proteomic signature of CRF was associated with a 17% lower risk of all-cause mortality, and with a 22% to 39% lower risk of type 2 diabetes and cardiovascular disease.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS:<\/jats:title>\n                    <jats:p>Together, these findings indicate that circulating metabolites and proteins are associated with CRF and with subsequent risk of mortality and noncommunicable diseases.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/circgen.125.005736","type":"journal-article","created":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T09:01:02Z","timestamp":1783069262000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":2,"title":["Metabolomic and Proteomic Signatures of Cardiorespiratory Fitness for Predicting All-Cause Mortality and Non-Communicable Disease Risk: A Prospective Study in the UK Biobank"],"prefix":"10.1161","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0235-2099","authenticated-orcid":true,"given":"Sergio","family":"Miras-Moreno","sequence":"first","affiliation":[{"name":"Department of Physical Education &amp; Sports, Faculty of Sport Sciences, Sport &amp; Health University Research Institute (iMUDS) (S.M.-M., J.R.R.)."},{"name":"Department of Medicine, Division of Endocrinology &amp; Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, the Netherlands (S.M.-M., B.M.-T.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3198-2556","authenticated-orcid":true,"given":"\u00c1lvaro","family":"Torres-Martos","sequence":"additional","affiliation":[{"name":"Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy; Center of Biomedical Research, Institute of Nutrition &amp; Food Technology, University of Granada, Spain (A.T.-M., C.M.A., C.P.)."},{"name":"Instituto de Investigaci\u00f3n Biosanitaria ibs.GRANADA (A.T.-M., J.R.R., C.M.A., C.P.)."},{"name":"CIBER Physiopathology of Obesity &amp; Nutrition (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain (A.T.-M., J.R.R., C.M.A., C.P., B.M.-T.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7548-7138","authenticated-orcid":true,"given":"Jonatan R.","family":"Ruiz","sequence":"additional","affiliation":[{"name":"Department of Physical Education &amp; Sports, Faculty of Sport Sciences, Sport &amp; Health University Research Institute (iMUDS) (S.M.-M., J.R.R.)."},{"name":"Instituto de Investigaci\u00f3n Biosanitaria ibs.GRANADA (A.T.-M., J.R.R., C.M.A., C.P.)."},{"name":"CIBER Physiopathology of Obesity &amp; Nutrition (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain (A.T.-M., J.R.R., C.M.A., C.P., B.M.-T.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5298-4844","authenticated-orcid":true,"given":"Jennifer","family":"Carter","sequence":"additional","affiliation":[{"name":"Health Data Research UK, University of Oxford, United Kingdom (J.C.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7900-4642","authenticated-orcid":true,"given":"Carolina","family":"Abreu de Carvalho","sequence":"additional","affiliation":[{"name":"Postgraduate Program in Public Health, Public Health Department, Federal University of Maranh\u00e3o, Brazil (C.A.C.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1451-4788","authenticated-orcid":true,"given":"Concepci\u00f3n M.","family":"Aguilera","sequence":"additional","affiliation":[{"name":"Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy; Center of Biomedical Research, Institute of Nutrition &amp; Food Technology, University of Granada, Spain (A.T.-M., C.M.A., C.P.)."},{"name":"Instituto de Investigaci\u00f3n Biosanitaria ibs.GRANADA (A.T.-M., J.R.R., C.M.A., C.P.)."},{"name":"CIBER Physiopathology of Obesity &amp; Nutrition (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain (A.T.-M., J.R.R., C.M.A., C.P., B.M.-T.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7536-922X","authenticated-orcid":true,"given":"Carmen","family":"Piernas","sequence":"additional","affiliation":[{"name":"Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy; Center of Biomedical Research, Institute of Nutrition &amp; Food Technology, University of Granada, Spain (A.T.-M., C.M.A., C.P.)."},{"name":"Instituto de Investigaci\u00f3n Biosanitaria ibs.GRANADA (A.T.-M., J.R.R., C.M.A., C.P.)."},{"name":"CIBER Physiopathology of Obesity &amp; Nutrition (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain (A.T.-M., J.R.R., C.M.A., C.P., B.M.-T.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8783-1859","authenticated-orcid":true,"given":"Borja","family":"Martinez-Tellez","sequence":"additional","affiliation":[{"name":"Department of Medicine, Division of Endocrinology &amp; 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