Long-Term Interleukin-6 Levels and Subsequent Risk of Coronary Heart Disease: Two New Prospective Studies and a Systematic Review
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BACKGROUND: The relevance to coronary heart disease (CHD) of cytokines that govern inflammatory cascades, such as interleukin-6 (IL-6), may be underestimated because such mediators are short acting and prone to fluctuations. We evaluated associations of long-term circulating IL-6 levels with CHD risk (defined as nonfatal myocardial infarction [MI] or fatal CHD) in two population-based cohorts, involving serial measurements to enable correction for within-person variability. We updated a systematic review to put the new findings in context. METHODS AND FINDINGS: Measurements were made in samples obtained at baseline from 2,138 patients who had a first-ever nonfatal MI or died of CHD during follow-up, and from 4,267 controls in two cohorts comprising 24,230 participants. Correction for within-person variability was made using data from repeat measurements taken several years apart in several hundred participants. The year-to-year variability of IL-6 values within individuals was relatively high (regression dilution ratios of 0.41, 95% confidence interval [CI] 0.28-0.53, over 4 y, and 0.35, 95% CI 0.23-0.48, over 12 y). Ignoring this variability, we found an odds ratio for CHD, adjusted for several established risk factors, of 1.46 (95% CI 1.29-1.65) per 2 standard deviation (SD) increase of baseline IL-6 values, similar to that for baseline C-reactive protein. After correction for within-person variability, the odds ratio for CHD was 2.14 (95% CI 1.45-3.15) with long-term average ("usual") IL-6, similar to those for some established risk factors. Increasing IL-6 levels were associated with progressively increasing CHD risk. An updated systematic review of electronic databases and other sources identified 15 relevant previous population-based prospective studies of IL-6 and clinical coronary outcomes (i.e., MI or coronary death). Including the two current studies, the 17 available prospective studies gave a combined odds ratio of 1.61 (95% CI 1.42-1.83) per 2 SD increase in baseline IL-6 (corresponding to an odds ratio of 3.34 [95% CI 2.45-4.56] per 2 SD increase in usual [long-term average] IL-6 levels). CONCLUSIONS: Long-term IL-6 levels are associated with CHD risk about as strongly as are some major established risk factors, but causality remains uncertain. These findings highlight the potential relevance of IL-6-mediated pathways to CHD.
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IL-6 and CRP are key indicators of disease risk in middle-age and older adulthood as they are prospectively associated with coronary heart disease, diabetes, disability, and all-cause mortality.
“Biomarkers of systemic inflammation, including interleukin-6 (IL-6) and C-reactive protein (CRP) are key indicators of disease risk in middle-age and older adulthood as they are prospectively associated with coronary heart disease (17,18) as well as diabetes (19), disability (20), and all-cause mortality (21).”
From Socioeconomic Status Interacts with Conscientiousness and Neuroticism to Predict Circulating Concentrations of Inflammatory Markers (2017) · cites this paper as [18]
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Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works
Self-citationQuantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763 · see citing works
Self-citationInflammation, Atherosclerosis, and Coronary Artery Disease
Hansson, G. K. (2005) · New England Journal of Medicine · doi:10.1056/nejmra043430 · Cited by 8,773 · see citing works
Pearson, T. A., Mensah, G. A., Alexander, R. W., Anderson, J. L., Cannon, R. O., Criqui, M., Fadl, Y. Y., Fortmann, S. P., Hong, Y., Myers, G. L., et al. (2003) · Circulation · doi:10.1161/01.cir.0000052939.59093.45 · Cited by 6,401 · see citing works
Ridker, P. M., Hennekens, C. H., Buring, J. E., & Rifai, N. (2000) · New England Journal of Medicine · doi:10.1056/nejm200003233421202 · Cited by 5,850 · see citing works
Danesh, J., Wheeler, J. G., Hirschfield, G. M., Eda, S., Eiriksdottir, G., Rumley, A., Lowe, G. D. O., Pepys, M. B., & Gudnason, V. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032804 · Cited by 2,953 · see citing works
Self-citationRidker, P. M., Rifai, N., Stampfer, M. J., & Hennekens, C. H. (2000) · Circulation · doi:10.1161/01.cir.101.15.1767 · Cited by 2,429 · see citing works
Associations of elevated interleukin-6 and C-reactive protein levels with mortality in the elderly
Harris, T. B., Ferrucci, L., Tracy, R. P., Corti, M. C., Wacholder, S., Ettinger, W. H., Heimovitz, H., Cohen, H. J., & Wallace, R. (1999) · The American Journal of Medicine · doi:10.1016/s0002-9343(99)00066-2 · Cited by 1,488 · see citing works
Inflammation and Activated Innate Immunity in the Pathogenesis of Type 2 Diabetes
Pickup, J. C. (2004) · Diabetes Care · doi:10.2337/diacare.27.3.813 · Cited by 1,414 · see citing works
Mendelian randomization: prospects, potentials, and limitations
Smith, G. D. (2004) · International Journal of Epidemiology · doi:10.1093/ije/dyh132 · Cited by 1,222 · see citing works
Inflammatory Markers and the Risk of Coronary Heart Disease in Men and Women
Pai, J. K., Pischon, T., Ma, J., Manson, J. E., Hankinson, S. E., JOSHIPURA, K. J., Curhan, G. C., Rifai, N., Cannuscio, C. C., Stampfer, M. J., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040967 · Cited by 1,174 · see citing works
Relation of C-Reactive Protein and Coronary Heart Disease in the MRFIT Nested Case-Control Study
Kuller, L. H., Tracy, R. P., Shaten, J., & Meilahn, E. N. (1996) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a008963 · Cited by 1,098 · see citing works
Yanbaeva, D. G., Dentener, M. A., Creutzberg, E. C., Wesseling, G., & Wouters, E. F. �. (2007) · CHEST Journal · doi:10.1378/chest.06-2179 · Cited by 1,022 · see citing works
Inflammatory Markers and Onset of Cardiovascular Events: Results From the Health ABC Study
Cesari, M., Penninx, B. W. J. H., Newman, A. B., Kritchevsky, S. B., Nicklas, B. J., Sutton-Tyrrell, K., Rubin, S. M., Ding, J., Simonsick, E. M., Harris, T. B., et al. (2003) · Circulation · doi:10.1161/01.cir.0000097109.90783.fc · Cited by 978 · see citing works
Clarke, R., Shipley, M. J., Lewington, S., Youngman, L. D., Collins, R., Marmot, M. G., & Peto, R. (1999) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a010013 · Cited by 879 · see citing works
McCarey, D. W., McInnes, I. B., Madhok, R., Hampson, R., Scherbakova, O., Ford, I., Capell, H. A., & Sattar, N. A. (2004) · The Lancet · doi:10.1016/s0140-6736(04)16449-0 · Cited by 818 · see citing works
Maini, R. N., Taylor, P. C., Szechinski, J., Pavelka, K., Bröll, J., Balint, G., Emery, P., Raemen, F., Petersen, J., Smolen, J., et al. (2006) · Arthritis & Rheumatism · doi:10.1002/art.22033 · Cited by 790 · see citing works
The link between abdominal obesity, metabolic syndrome and cardiovascular disease
Ritchie, S. A., & Connell, J. M. C. (2006) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2006.07.005 · Cited by 726 · see citing works
MEADE, T. (1993) · The Lancet · doi:10.1016/0140-6736(93)92062-x · Cited by 711 · see citing works
Inflammatory Biomarkers, Hormone Replacement Therapy, and Incident Coronary Heart Disease
Pradhan, A. D., Manson, J. E., Rossouw, J. E., Siscovick, D. S., Mouton, C. P., Rifai, N., Wallace, R. B., Jackson, R. D., Pettinger, M. B., & Ridker, P. M. (2002) · JAMA · doi:10.1001/jama.288.8.980 · Cited by 680 · see citing works
ROSNER, B. A., Willett, W. C., & Spiegelman, D. L. (1989) · Statistics in Medicine · doi:10.1002/sim.4780080905 · Cited by 644 · see citing works
Le, J., & Vilček, J. (1990) · Humana Press eBooks · doi:10.1007/978-1-4612-0485-5_7 · Cited by 474 · see citing works
ROSNER, B. A., Spiegelman, D. L., & Willett, W. C. (1990) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115715 · Cited by 464 · see citing works
Cardiovascular Disease, Interleukin-6, and Risk of Mortality in Older Women
Volpato, S., Guralnik, J. M., Ferrucci, L., Balfour, J. L., Chaves, P. H. M., Fried, L. P., & Harris, T. B. (2001) · Circulation · doi:10.1161/01.cir.103.7.947 · Cited by 434 · see citing works
Easton, D. F., Peto, J., & Babiker, A. G. (1991) · Statistics in Medicine · doi:10.1002/sim.4780100703 · Cited by 434 · see citing works
Rezaie-Majd, A., Maca, T., Bucek, R. A., Valent, P., Müller, M. R., Husslein, P. W., Kashanipour, A., Minar, E., & Baghestanian, M. (2002) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000022694.16328.cc · Cited by 380 · see citing works
C-Reactive Protein, Interleukin-6, and Fibrinogen as Predictors of Coronary Heart Disease
Luc, G., Bard, J., Juhan-Vague, I., Ferrières, J., Evans, A., Amouyel, P., Arveiler, D., Fruchart, J., & Ducimetière, P. (2003) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000079512.66448.1d · Cited by 378 · see citing works
Kerr, R., Stirling, D., & Ludlam, C. A. (2001) · British Journal of Haematology · doi:10.1046/j.1365-2141.2001.03061.x · Cited by 363 · see citing works
Folsom, A. R., Chambless, L. E., Ballantyne, C. M., Coresh, J., HEISS, G. M., Wu, K. K., Boerwinkle, E., Mosley, T. H., Sorlie, P. D., Diao, G., et al. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.13.1368 · Cited by 356 · see citing works
Ray, K. K., & Cannon, C. P. (2005) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2005.05.086 · Cited by 273 · see citing works
Improved estimates of floating absolute risk
Plummer, M. (2003) · Statistics in Medicine · doi:10.1002/sim.1485 · Cited by 267 · see citing works
Jenny, N. S., Tracy, R. P., Ogg, M. S., Luong, L. A., Kuller, L. H., Arnold, A. M., Sharrett, A. R., & Humphries, S. E. (2002) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000040224.49362.60 · Cited by 243 · see citing works
Tzoulaki, I., Murray, G. D., Lee, A. J., Rumley, A., Lowe, G. D. O., & Fowkes, F. G. R. (2007) · Circulation · doi:10.1161/circulationaha.106.635029 · Cited by 238 · see citing works
Self-citationTuomisto, K., Jousilahti, P., Sundvall, J., Pajunen, P., & Salomaa, V. V. (2006) · Thrombosis and Haemostasis · doi:10.1160/th05-08-0571 · Cited by 231 · see citing works
Woodward, M., Rumley, A., Tunstall‐Pedoe, H., & Lowe, G. D. O. (1999) · British Journal of Haematology · doi:10.1046/j.1365-2141.1999.01158.x · Cited by 160 · see citing works
Self-citationKöenig, W., Khuseyinova, N., Baumert, J. J., Thorand, B., Loewel, H., Chambless, L. E., Meisinger, C., Schneider, A. L. C., Martin, S., Kolb, H., et al. (2006) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000248096.62495.73 · Cited by 157 · see citing works
Accelerated Atherosclerosis in Rheumatoid Arthritis
Szekanecz, Z., Kerekes, G., Dér, H., Sándor, Z., Szabó, Z., VÉGVÁRI, A., SIMKOVICS, E., Soós, L., Szentpétery, Á., Besenyei, T., et al. (2007) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1422.036 · Cited by 129 · see citing works
Lowe, G. D. O., Rumley, A., McMahon, A. D., Ford, I., O’Reilly, D. S. J., & Packard, C. J. (2004) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000135995.39488.6c · Cited by 125 · see citing works
Self-citationJónsdóttir, L. S., Sigfússon, N., Gudnason, V. G., Sigvaldason, H., & Thorgeirsson, G. (2002) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1177/174182670200900201 · Cited by 123 · see citing works
Self-citationThe British Regional Heart Study 1975-2004
Walker, M. (2004) · International Journal of Epidemiology · doi:10.1093/ije/dyh295 · Cited by 115 · see citing works
Interleukin 6 −174 G/C Promoter Polymorphism and Risk of Coronary Heart Disease
Sie, M. P. S., Sayed‐Tabatabaei, F. A., Oei, H.-H. S., Uitterlinden, A. G., Pols, H. A. P., Albert Hofman, D., van Duijn, C. M., & Witteman, J. C. M. (2005) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000194099.65024.17 · Cited by 101 · see citing works
Wood, A., White, I. R., Thompson, S. G., Lewington, S., & Danesh, J. (2006) · International Journal of Epidemiology · doi:10.1093/ije/dyl233 · Cited by 97 · see citing works
Self-citationAdjustment for Regression Dilution in Epidemiological Regression Analyses
Knuiman, M. W., Divitini, M., Buzas, J. S., & FitzGerald, P. E. B. (1998) · Annals of Epidemiology · doi:10.1016/s1047-2797(97)00107-5 · Cited by 83 · see citing works
Cardiovascular Death and the Metabolic Syndrome
Langenberg, C., Bergstrom, J., Scheidt‐Nave, C., Pfeilschifter, J., & Barrett-Connor, E. L. (2006) · Diabetes Care · doi:10.2337/dc05-2385 · Cited by 83 · see citing works
Kip, K. E., Marroquin, O. C., Shaw, L. J., Arant, C. B., Wessel, T. R., Olson, M. B., Johnson, B. D., Mulukutla, S., Sopko, G., Merz, C. N. B., et al. (2005) · American Heart Journal · doi:10.1016/j.ahj.2005.02.002 · Cited by 74 · see citing works
Is there more than C-reactive protein and fibrinogen?
Lobbes, M. B. I., Lutgens, E., Heeneman, S., Cleutjens, K. B. J. M., Kooi, M. E., van Engelshoven, J. M. A., Daemen, M. J. A. P., & Nelemans, P. J. (2005) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2005.11.005 · Cited by 70 · see citing works
Inflammatory markers and long-term risk of ischemic heart disease in men
St-Pierre, A. C., Cantin, B., Bergeron, J., Pirro, M., Dagenais, G. R., Després, J.-P., & Lamarche, B. (2005) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2005.02.009 · Cited by 67 · see citing works
Presenting Statistical Uncertainty in Trends and Dose-Response Relations
Greenland, S., Michels, K. B., Robins, J. M., et al. (1999) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009761 · Cited by 57 · see citing works
Jónsdóttir, L. S., Sigfússon, N., Gudnason, V. G., et al. (2001) · Atherosclerosis Supplements · doi:10.1016/s1567-5688(01)80169-0 · Cited by 24 · see citing works
Self-citationBoshuizen, H. C., Lanti, M., Menotti, A., Moschandreas, J. A., Tolonen, H. K., Nissinen, A., Nedeljković, S., Kafatos, A., & Kromhout, D. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwk021 · Cited by 24 · see citing works
Frost, C. D., & White, I. R. (2005) · International Journal of Epidemiology · doi:10.1093/ije/dyi148 · Cited by 22 · see citing works
Explaining heterogeneity in meta-analysis: a comparison of methods
Thompson, S. G., & Sharp, S. J. (1999) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19991030)18:20
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Ellulu, M. S., Patimah, I., Khaza’ai, H., Rahmat, A., & Abed, Y. (2017) · Archives of Medical Science · doi:10.5114/aoms.2016.58928 · Cited by 1,982 · see citing works
(2012) · The Lancet · doi:10.1016/s0140-6736(12)60110-x · Cited by 1,146 · see citing works
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Khandaker, G. M., Cousins, L., Deakin, J., Lennox, B. R., Yolken, R., & Jones, P. B. (2015) · The Lancet Psychiatry · doi:10.1016/s2215-0366(14)00122-9 · Cited by 926 · see citing works
Khandaker, G. M., Pearson, R. M., Zammit, S., Lewis, G., & Jones, P. B. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.1332 · Cited by 846 · see citing works
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Neuhaus, J., Jacobs, Jr., Baker, J. V., Calmy, A., Duprez, D., La Rosa, A., Kuller, L. H., Pett, S. L., Ristola, M., Ross, M. J., et al. (2010) · The Journal of Infectious Diseases · doi:10.1086/652749 · Cited by 869 · see citing works
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Richmond, R. C., & Davey Smith, G. (2022) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a040501 · Cited by 841 · see citing works
(2012) · The Lancet · doi:10.1016/s0140-6736(11)61931-4 · Cited by 823 · see citing works
Osimo, E. F., Baxter, L. J., Lewis, G., Jones, P. B., & Khandaker, G. M. (2019) · Psychological Medicine · doi:10.1017/s0033291719001454 · Cited by 774 · see citing works
JBS3 Board (2014) · Heart · doi:10.1136/heartjnl-2014-305693 · Cited by 608 · see citing works
Ferreira, R. C., Freitag, D. F., Cutler, A. J., Howson, J. M. M., Rainbow, D. B., Smyth, D. J., Kaptoge, S., Clarke, P., Boreham, C., Coulson, R. M., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003444 · Cited by 316 · see citing works
Self-citationCreswell, J. D., Taren, A. A., Lindsay, E. K., Greco, C. M., Gianaros, P. J., Fairgrieve, A., Marsland, A. L., Brown, K. W., Way, B. M., Rosen, R. K., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.01.008 · Cited by 299 · see citing works
“The relaxation training program was an effective placebo control; there were no significant group differences in perceived treatment benefits at the conclusion of the 3-day retreat (independent samples t(31)=1.”
BackgroundGardner, S. E., Humphry, M., Bennett, M. R., & Clarke, M. C. H. (2015) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.115.305896 · Cited by 285 · see citing works
Loneliness and stress-related inflammatory and neuroendocrine responses in older men and women
Hackett, R. A., Hamer, M., Endrighi, R., Brydon, L., & Steptoe, A. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2012.03.016 · Cited by 272 · see citing works
Barbui, C., Esposito, E., & Cipriani, A. (2009) · Canadian Medical Association Journal · doi:10.1503/cmaj.081514 · Cited by 275 · see citing works
Schwingshackl, L., Christoph, M., & Hoffmann, G. (2015) · Nutrients · doi:10.3390/nu7095356 · Cited by 252 · see citing works
Interleukin-6 and C-reactive protein as predictors of cognitive decline in late midlife
Singh-Manoux, A., Dugravot, A., Brunner, E., Kumari, M., Shipley, M., Elbaz, A., & Kivimaki, M. (2014) · Neurology · doi:10.1212/wnl.0000000000000665 · Cited by 237 · see citing works
Itariu, B. K., Zeyda, M., Hochbrugger, E. E., Neuhofer, A., Prager, G., Schindler, K., Bohdjalian, A., Mascher, D., Vangala, S., Schranz, M., et al. (2012) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.037432 · Cited by 227 · see citing works
Ferrie, J. E., Kivimaki, M., Akbaraly, T. N., Singh-Manoux, A., Miller, M. A., Gimeno, D., Kumari, M., Davey Smith, G., & Shipley, M. J. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kwt072 · Cited by 218 · see citing works
Clarke, M. C. H., Talib, S., Figg, N. L., & Bennett, M. R. (2010) · Circulation Research · doi:10.1161/circresaha.109.208389 · Cited by 216 · see citing works
Perry, B. I., Upthegrove, R., Kappelmann, N., Jones, P. B., Burgess, S., & Khandaker, G. M. (2021) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2021.07.009 · Cited by 187 · see citing works
Self-compassion as a predictor of interleukin-6 response to acute psychosocial stress
Breines, J. G., Thoma, M. V., Gianferante, D., Hanlin, L., Chen, X., & Rohleder, N. (2014) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2013.11.006 · Cited by 181 · see citing works
Maes, M., Ruckoanich, P., Chang, Y. S., Mahanonda, N., & Berk, M. (2011) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2010.06.008 · Cited by 169 · see citing works
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Shiels, P. G., McGlynn, L. M., MacIntyre, A., Johnson, P. C. D., Batty, G. D., Burns, H., Cavanagh, J., Deans, K. A., Ford, I., McConnachie, A., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022521 · Cited by 143 · see citing works
Kothari, P., Pestana, R., Mesraoua, R., Elchaki, R., Khan, K. M. F., Dannenberg, A. J., & Falcone, D. J. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1301906 · Cited by 137 · see citing works
Moore, R. C., Chattillion, E. A., Ceglowski, J., Ho, J., von Känel, R., Mills, P. J., Ziegler, M. G., Patterson, T. L., Grant, I., & Mausbach, B. T. (2013) · Behaviour Research and Therapy · doi:10.1016/j.brat.2013.07.005 · Cited by 128 · see citing works
Thompson, D., Markovitch, D., Betts, J. A., Mazzatti, D., Turner, J., & Tyrrell, R. M. (2010) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00822.2009 · Cited by 123 · see citing works
Khandaker, G. M., Zammit, S., Burgess, S., Lewis, G., & Jones, P. B. (2018) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2017.11.020 · Cited by 118 · see citing works
Thoma, M. V., Rohleder, N., & Rohner, S. L. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.675936 · Cited by 117 · see citing works
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Rush, G., O’Donovan, A., Nagle, L., Conway, C., McCrohan, A., O’Farrelly, C., Lucey, J. V., & Malone, K. M. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.06.035 · Cited by 86 · see citing works
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Kuras, Y. I., McInnis, C. M., Thoma, M. V., Chen, X., Hanlin, L., Gianferante, D., & Rohleder, N. (2017) · Developmental Psychobiology · doi:10.1002/dev.21470 · Cited by 46 · see citing works
Elliot, A. J., Turiano, N. A., & Chapman, B. P. (2017) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9847-z · Cited by 37 · see citing works
“Biomarkers of systemic inflammation, including interleukin-6 (IL-6) and C-reactive protein (CRP), are key indicators of disease risk in middle age and older adulthood as they are prospectively associated with coronary heart disease [17, 18] as well as diabetes [19], disability [20], and all-cause mortality [21].”
BackgroundReview on cardiovascular risk prediction
Ruwanpathirana, T., Owen, A., & Reid, C. M. (2015) · Cardiovascular Therapeutics · doi:10.1111/1755-5922.12110 · Cited by 31 · see citing works
Cardiovascular biomarkers in clinical studies of type 2 diabetes
Baldassarre, M. P. A., Andersen, A., Consoli, A., Knop, F. K., & Vilsbøll, T. (2018) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13247 · Cited by 22 · see citing works
- Authors
- Danesh, J., Kaptoge, S., Mann, A. G., Sarwar, N., Wood, A., Angleman, S. B., Wensley, F., Higgins, J. P. T., Lennon, L., Eiriksdottir, G., Rumley, A., Whincup, P. H., Lowe, G. D. O., & Gudnason, V.
- Affiliations
- University of Cambridge (GB)
- MRC Biostatistics Unit (GB)
- The Royal Free Hospital (GB)
- University of Glasgow (GB)
- St George's, University of London (GB)
- University of Iceland (IS)
- Corresponding author
- Danesh, John
- ORCID
- Venue
- PLoS Medicine
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-04-08
- Volume
- 5
- Issue
- 4
- Pages
- e78
- ISSN
- 1549-1277 (ISSN-L)
- 1549-1676
- PMC
- PMC2288623
- OpenAlex
- W2164189703
- Cited by
- 676
- References
- 53
- Citations by year
- 2026: 11 · 2025: 10 · 2024: 19 · 2023: 16 · 2022: 23 · 2021: 43 · 2020: 36 · 2019: 33 · 2018: 35 · 2017: 40 · 2016: 43 · 2015: 41 · 2014: 52 · 2013: 69 · 2012: 50
- FWCI
- 8.75
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, other-oa)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
- St George's Online Research Archive (St George's University of London) (acceptedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- GlaxoSmithKline
- British Heart Foundation
- National Institutes of Health
- National Institute on Aging
- Topics
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
- Keywords
- interleukin-6, coronary artery disease, myocardial infarction, coronary death, inflammation, cytokines, within-person variability, regression dilution, C-reactive protein, cardiovascular risk factors, serial biomarker measurement, prospective cohort
- MeSH terms
- Coronary Disease, Female, Humans, Inflammation, Male, Middle Aged, Prospective Studies, Risk Factors, Cohort Studies, Interleukin-6
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