The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Circulating soluble urokinase plasminogen activator receptor predicts cancer, cardiovascular disease, diabetes and mortality in the general population
Open accessAbstract
Abstract. Eugen‐Olsen J, Andersen O, Linneberg A, Ladelund S, Hansen TW, Langkilde A, Petersen J, Pielak T, Møller LN, Jeppesen J, Lyngbæk S, Fenger M, Olsen MH, Hildebrandt PR, Borch‐Johnsen K, Jørgensen T, Haugaard SB (Copenhagen University, Hvidovre Hospital, Hvidovre; Copenhagen University Hospital, Glostrup; Copenhagen University Hospital, Copenhagen; Copenhagen University Hospital, Glostrup; Copenhagen University, Hvidovre Hospital, Hvidovre; Steno Diabetes Center, Gentofte; University of Aarhus, Aarhus; University of Copenhagen, Copenhagen; Copenhagen University, Hvidovre Hospital, Hvidovre, Denmark). Circulating soluble urokinase plasminogen activator receptor predicts cancer, cardiovascular disease, diabetes and mortality in the general population. J Intern Med 2010; 268: 296–308. Background. Low‐grade inflammation is thought to contribute to the development of cardiovascular disease (CVD), type‐2 diabetes mellitus (T2D), cancer and mortality. Biomarkers of inflammation may aid in risk prediction and enable early intervention and prevention of disease. Objective. The aim of this study was to investigate whether plasma levels of the inflammatory biomarker soluble urokinase plasminogen activator receptor (suPAR) are predictive of disease and mortality in the general population. Design. This was an observational prospective cohort study. Cohort participants were included from June 1993 to December 1994 and followed until the end of 2006. Setting. General adult Caucasian population. Participants. The MONICA10 study, a population‐based cohort recruited from Copenhagen, Denmark, included 2602 individuals aged 41, 51, 61 or 71 years. Measurements. Blood samples were analysed for suPAR levels using a commercially available enzyme‐linked immunosorbent assay. Risk of cancer (n = 308), CVD (n = 301), T2D (n = 59) and mortality (n = 411) was assessed with a multivariate proportional hazards model using Cox regression. Results. Elevated baseline suPAR level was associated with an increased risk of cancer, CVD, T2D and mortality during follow‐up. suPAR was more strongly associated with cancer, CVD and mortality in men than in women, and in younger compared with older individuals. suPAR remained significantly associated with the risk of negative outcome after adjustment for a number of relevant risk factors including C‐reactive protein levels. Limitation. Further validation in ethnic populations other than Caucasians is needed. Conclusion. The stable plasma protein suPAR may be a promising biomarker because of its independent association with incident cancer, CVD, T2D and mortality in the general population.
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Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111
Inflammation, Atherosclerosis, and Coronary Artery Disease
Hansson, G. K. (2005) · New England Journal of Medicine · doi:10.1056/nejmra043430 · Cited by 8,773
Rosuvastatin to Prevent Vascular Events in Men and Women with Elevated C-Reactive Protein
Ridker, P. M., Danielson, E., Fonseca, F. A. H., Genest, J., Gotto, A. M., Kastelein, J. J. P., Koenig, W., Libby, P., Lorenzatti, A. J., MacFadyen, J. G., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0807646 · Cited by 6,674
Inflammation and insulin resistance
Shoelson, S. E. (2006) · Journal of Clinical Investigation · doi:10.1172/jci29069 · Cited by 4,769
Ridker, P. M., Paynter, N. P., Rifai, N., Gaziano, J. M., & Cook, N. R. (2008) · Circulation · doi:10.1161/circulationaha.108.814251 · Cited by 841
Cited by
Rasmussen, L. J. H., Moffitt, T. E., Arseneault, L., Danese, A., Eugen-Olsen, J., Fisher, H. L., Harrington, H., Houts, R., Matthews, T., Sugden, K., et al. (2020) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2019.3875 · Cited by 141
Self-citationPedersen, L. R., Olsen, R. H., Anholm, C., Astrup, A., Eugen-Olsen, J., Fenger, M., Simonsen, L., Walzem, R. L., Haugaard, S. B., & Prescott, E. (2019) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0934-x · Cited by 98
Romero-Cabrera, J. L., Ankeny, J., Fernández-Montero, A., Kales, S. N., & Smith, D. L. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232113540 · Cited by 63
Olson, N. C., Raffield, L. M., Moxley, A. H., Miller-Fleming, T. W., Auer, P. L., Franceschini, N., Ngo, D., Thornton, T. A., Lange, E. M., Li, Y., et al. (2021) · Circulation: Genomic and Precision Medicine · doi:10.1161/circgen.121.003421 · Cited by 16
A bone marrow factor contributes to kidney disease
Shankland, S. J., & Jefferson, J. A. (2017) · Nature Medicine · doi:10.1038/nm.4263 · Cited by 7
Metadata
- Authors
- Eugen‐Olsen, J., Andersen, O., Linneberg, A., Ladelund, S., Hansen, T. W., Langkilde, A., Petersen, J., Pielak, T., Møller, L. N., Jeppesen, J., Lyngbæk, S., Fenger, M., Olsen, M. H., Hildebrandt, P. R., Borch‐Johnsen, K., Jørgensen, T., & Haugaard, S. B.
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2010-08-03
- Volume
- 268
- Issue
- 3
- Pages
- 296-308
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- OpenAlex
- W1569358024
- Cited by
- 383
- References
- 5
- FWCI
- 8.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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