High-throughput quantification of circulating metabolites improves prediction of subclinical atherosclerosis

European Heart Journal

Volumn 33, Issue 18, 2012, Pages 2307-2316

  Würtz, Peter ^a,b,c   Raiko, Juho R ^d   Magnussen, Costan G ^d,e   Soininen, Pasi ^a,f   Kangas, Antti J ^a   Tynkkynen, Tuulia ^a,f   Thomson, Russell ^e   Laatikainen, Reino ^f   Savolainen, Markku J ^a   Laurikka, Jari ^g   Kuukasjärvi, Pekka ^g   Tarkka, Matti ^g   Karhunen, Pekka J ^g   Jula, Antti ^h   Viikari, Jorma S ⁱ   Kähönen, Mika ^g   Lehtimäki, Terho ^g   Juonala, Markus ^d,i   Ala Korpela, Mika ^a,f   Raitakari, Olli T ^d,i  

^a UNIVERSITY OF OULU   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY OF TURKU   (Finland)

^e UNIVERSITY OF TASMANIA   (Australia)

^f UNIVERSITY OF EASTERN FINLAND   (Finland)

^g TAMPERE UNIVERSITY HOSPITAL   (Finland)

^h NATIONAL PUBLIC HEALTH INSTITUTE   (Finland)

ⁱ TURKU UNIVERSITY HOSPITAL   (Finland)

Author keywords

Intimamedia thickness; Lipoproteins; Metabolomics; Risk factors; Tyrosine

Indexed keywords

CHOLESTEROL ESTER; DOCOSAHEXAENOIC ACID; GLUTAMINE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; HISTIDINE; LINOLEIC ACID; LOW DENSITY LIPOPROTEIN CHOLESTEROL; OMEGA 3 FATTY ACID; OMEGA 6 FATTY ACID; TYROSINE;

ADOLESCENT; ADULT; ANGIOGRAPHY; ARTERIAL WALL THICKNESS; ARTICLE; ATHEROSCLEROSIS; ATHEROSCLEROTIC PLAQUE; CHILD; CHOLESTEROL BLOOD LEVEL; COHORT ANALYSIS; CORONARY ARTERY DISEASE; CROSS-SECTIONAL STUDY; FEMALE; FRAMINGHAM RISK SCORE; HUMAN; INCIDENCE; MAJOR CLINICAL STUDY; MALE; METABOLITE; NUCLEAR MAGNETIC RESONANCE; POPULATION RESEARCH; PREDICTION; PRESCHOOL CHILD; PRIORITY JOURNAL; RISK ASSESSMENT; SCHOOL CHILD; SUBCLINICAL ATHEROSCLEROSIS;

ADULT; ATHEROSCLEROSIS; BIOLOGICAL MARKERS; CAROTID INTIMA-MEDIA THICKNESS; FEMALE; HUMANS; LIPID METABOLISM; MAGNETIC RESONANCE SPECTROSCOPY; MALE; PLAQUE, ATHEROSCLEROTIC; PREDICTIVE VALUE OF TESTS; RISK ASSESSMENT; ROC CURVE; YOUNG ADULT;

EID: 84864384899     PISSN: 0195668X     EISSN: 15229645     Source Type: Journal    
DOI: 10.1093/eurheartj/ehs020     Document Type: Article

References (42)

1. Wang TJ, Gona P, Larson MG, Tofler GH, Levy D, Newton-Cheh C, Jacques PF, Rifai N, Selhub J, Robins SJ, Benjamin EJ, D'Agostino RB, Vasan RS. Multiple bio-markers for the prediction of first major cardiovascular events and death. N Engl J Med 2006;355:2631-2639. (Pubitemid 44969122)
2. Melander O, Newton-Cheh C, Almgren P, Hedblad B, Berglund G, Engstrom G, Persson M, Smith JG, Magnusson M, Christensson A, Struck J, Morgenthaler NG, Bergmann A, Pencina MJ, Wang TJ. Novel and conventional biomarkers for prediction of incident cardiovascular events in the community. J Am Med Assoc 2009; 302:49-57.
3. Blankenberg S, Zeller T, Saarela O, Havulinna AS, Kee F, Tunstall-Pedoe H, Kuulasmaa K, Yarnell J, Schnabel RB, Wild PS, Munzel TF, Lackner KJ, Tiret L, Evans A, Salomaa V, MORGAM Project. Contribution of 30 biomarkers to 10-year cardiovascular risk estimation in 2 population cohorts: the MONICA, risk, genetics, archiving, and monograph (MORGAM) biomarker project. Circulation 2010;121:2388-2397.
4. Wang TJ. Assessing the role of circulating, genetic, and imaging biomarkers in cardiovascular risk prediction. Circulation 2011;123:551-565.
5. Wang TJ, Larson MG, Vasan RS, Cheng S, Rhee EP, McCabe E, Lewis GD, Fox CS, Jacques PF, Fernandez C, O'Donnell CJ, Carr SA, Mootha VK, Florez JC, Souza A, Melander O, Clish CB, Gerszten RE. Metabolite profiles and the risk of developing diabetes. Nat Med 2011;17:448-453.
6. Holmes E, Wilson ID, Nicholson JK. Metabolic phenotyping in health and disease. Cell 2008;134:714-717.
7. Mora S, Otvos JD, Rifai N, Rosenson RS, Buring JE, Ridker PM. Lipoprotein particle profiles by nuclear magnetic resonance compared with standard lipids and apolipoproteins in predicting incident cardiovascular disease in women. Circulation 2009;119:931-939.
8. Würtz P, Soininen P, Kangas AJ, Mäkinen VP, Groop PH, Savolainen MJ, Juonala M, Viikari JS, Kähönen M, Lehtimäki T, Raitakari OT, Ala-Korpela M. Characterization of systemic metabolic phenotypes associated with subclinical atherosclerosis. Mol Biosyst 2011;7:385-393.
9. Polak JF, Pencina MJ, Pencina KM, O'Donnell CJ, Wolf PA, D'Agostino RB Sr. Carotid-wall intima-media thickness and cardiovascular events. N Engl J Med 2011;365:213-221.
10. Lorenz MW, Markus HS, Bots ML, Rosvall M, Sitzer M. Prediction of clinical cardiovascular events with carotid intima-media thickness: a systematic review and meta-analysis. Circulation 2007;115:459-467. (Pubitemid 46184197)
11. Raitakari OT, Juonala M, Kähönen M, Taittonen L, Laitinen T, Mäki-Törkkö N, Järvisalo MJ, Uhari M, Jokinen E, Rönnemaa T, Akerblom HK, Viikari JS. Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study. J Am Med Assoc 2003;290: 2277-2283. (Pubitemid 37430560)
12. Koskinen J, Kähönen M, Viikari JS, Taittonen L, Laitinen T, Rönnemaa T, Lehtimäki T, Hutri-Kähönen N, Pietikäinen M, Jokinen E, Helenius H, Mattsson N, Raitakari OT, Juonala M. Conventional cardiovascular risk factors and metabolic syndrome in predicting carotid intima-media thickness progression in young adults: the cardiovascular risk in young Finns study. Circulation 2009;120: 229-236.
13. Raitakari OT, Juonala M, Rönnemaa T, Keltikangas-Järvinen L, Räsänen L, Pietikäinen M, Hutri-Kähönen N, Taittonen L, Jokinen E, Marniemi J, Jula A, Telama R, Kähönen M, Lehtimäki T, Akerblom HK, Viikari JS. Cohort profile: the cardiovascular risk in Young Finns Study. Int J Epidemiol 2008;37:1220-1226.
14. Soininen P, Kangas AJ, Würtz P, Tukiainen T, Tynkkynen T, Laatikainen R, Järvelin MR, Kähönen M, Lehtimäki T, Viikari J, Raitakari OT, Savolainen MJ, Ala-Korpela M. High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism. Analyst 2009;134:1781-1785.
15. Inouye M, Kettunen J, Soininen P, Silander K, Ripatti S, Kumpula LS, Hämäläinen E, Jousilahti P, Kangas AJ, Männistö S, Savolainen MJ, Jula A, Leiviskä J, Palotie A, Salomaa V, Perola M, Ala-Korpela M, Peltonen L. Metabonomic, transcriptomic, and genomic variation of a population cohort. Mol Syst Biol 2010;6:441.
16. Samani NJ, Raitakari OT, Sipilä K, Tobin MD, Schunkert H, Juonala M, Braund PS, Erdmann J, Viikari J, Moilanen L, Taittonen L, Jula A, Jokinen E, Laitinen T, Hutri-Kähönen N, Nieminen MS, Kesäniemi YA, Hall AS, Hulkkonen J, Kähönen M, Lehtimäki T. Coronary artery disease-associated locus on chromosome 9p21 and early markers of atherosclerosis. Arterioscler Thromb Vasc Biol 2008;28:1679-1683.
17. Mennander A, Kuukasjärvi P, Laurikka J, Nikus K, Karhunen PJ, Tarkka M, Lehtimäki T. Diagnostic performance of plasma high sensitive C-reactive protein in detecting three-vessel coronary artery disease: modification by apoli-poprotein E genotype. Scand J Clin Lab Invest 2008;68:714-719.
18. Juonala M, Viikari JS, Kähönen M, Solakivi T, Helenius H, Jula A, Marniemi J, Taittonen L, Laitinen T, Nikkari T, Raitakari OT. Childhood levels of serum apo-lipoproteins B and A-I predict carotid intima-media thickness and brachial endo-thelial function in adulthood: the cardiovascular risk in young Finns study. J Am Coll Cardiol 2008;52:293-299. (Pubitemid 351957853)
19. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 2002;106:3143-3421.
20. Wold H. Estimation of principal components and related models by iterative least squares. In: Krishnaiah PR, ed. Multivariate Analysis. New York: Academic Press; 1966. p391-420.
21. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988;44:837-845.
22. Hosmer DW, Lemeshow S. Applied Logistic Regression. 2nd ed. New York, NY: John Wiley & Sons Inc.; 2000.
23. Cook NR, Ridker PM. Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassification measures. Ann Intern Med 2009;150: 795-802.
24. Pencina MJ, D'Agostino RB S, D'Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157-172; discussion 207-212. (Pubitemid 351193639)
25. Lloyd-Jones DM. Cardiovascular risk prediction: basic concepts, current status, and future directions. Circulation 2010;121:1768-1777.
26. Stary HC, Chandler AB, Glagov S, Guyton JR, Insull W Jr, Rosenfeld ME, Schaffer SA, Schwartz CJ, Wagner WD, Wissler RW. A definition of initial, fatty streak, and intermediate lesions of atherosclerosis. A report from the Committee on Vascular Lesions of the Council on Arteriosclerosis, American Heart Association. Circulation 1994;89:2462-2478. (Pubitemid 24142837)
27. Shah SH, Bain JR, Muehlbauer MJ, Stevens RD, Crosslin DR, Haynes C, Dungan J, Newby LK, Hauser ER, Ginsburg GS, Newgard CB, Kraus WE. Association of a peripheral blood metabolic profile with coronary artery disease and risk of subsequent cardiovascular events. Circ Cardiovasc Genet 2010;3:207-214.
28. Superko HR. Advanced lipoprotein testing and subfractionation are clinically useful. Circulation 2009;119:2383-2395.
29. Mora S. Advanced lipoprotein testing and subfractionation are not (yet) ready for routine clinical use. Circulation 2009;119:2396-2404.
30. Tukiainen T, Kettunen J, Kangas AJ, Lyytikäinen LP, Soininen P, Sarin AP, Tikkanen E, O'Reilly PF, Savolainen MJ, Kaski K, Pouta A, Jula A, Lehtimäki T, Kähönen M, Viikari J, Taskinen MR, Jauhiainen M, Eriksson JG, Raitakari O, Salomaa V, Järvelin MR, Perola M, Palotie A, Ala-Korpela M, Ripatti S. Detailed metabolic and genetic characterization reveals new associations for 30 known lipid loci. Hum Mol Genet 2012;21:1444-1455.
31. Ip S, Lichtenstein AH, Chung M, Lau J, Balk EM. Systematic review: association of low-density lipoprotein subfractions with cardiovascular outcomes. Ann Intern Med 2009;150:474-484.
32. Hodis HN, Mack WJ, Dunn M, Liu C, Liu C, Selzer RH, Krauss RM. Intermediate-density lipoproteins and progression of carotid arterial wall intima-media thickness. Circulation 1997;95:2022-2026. (Pubitemid 27184268)
33. Ala-Korpela M. Critical evaluation of 1H NMR metabonomics of serum as a methodology for disease risk assessment and diagnostics. Clin Chem Lab Med 2008;46:27-42.
34. Tzou WS, Douglas PS, Srinivasan SR, Chen W, Berenson G, Stein JH. Advanced lipoprotein testing does not improve identification of subclinical atherosclerosis in young adults: the Bogalusa Heart Study. Ann Intern Med 2005;142:742-750. (Pubitemid 40593776)
35. Arnal JF, Münzel T, Venema RC, James NL, Bai CL, Mitch WE, Harrison DG. Interactions between L-arginine and L-glutamine change endothelial NO production. An effect independent of NO synthase substrate availability. J Clin Invest 1995; 95:2565-2572.
36. Newgard CB, An J, Bain JR, Muehlbauer MJ, Stevens RD, Lien LF, Haqq AM, Shah SH, Arlotto M, Slentz CA, Rochon J, Gallup D, Ilkayeva O, Wenner BR, Yancy WS Jr, Eisenson H, Musante G, Surwit RS, Millington DS, Butler MD, Svetkey LP. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab 2009;9:311-326.
37. Saravanan P, Davidson NC, Schmidt EB, Calder PC. Cardiovascular effects of marine omega-3 fatty acids. Lancet 2010;376:540-550.
38. Balk EM, Lichtenstein AH, Chung M, Kupelnick B, Chew P, Lau J. Effects of omega-3 fatty acids on coronary restenosis, intima-media thickness, and exercise tolerance: a systematic review. Atherosclerosis 2006;184:237-246. (Pubitemid 43049706)
39. Kris-Etherton PM, Harris WS, Appel LJ, American Heart Association. Nutrition Committee. Fish consumption, fish oil, omega-3 fatty acids, and cardiovascular disease. Circulation 2002;106:2747-2757.
40. Wang Z, Klipfell E, Bennett BJ, Koeth R, Levison BS, Dugar B, Feldstein AE, Britt EB, Fu X, Chung YM, Wu Y, Schauer P, Smith JD, Allayee H, Tang WH, DiDonato JA, Lusis AJ, Hazen SL. Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature 2011;472:57-63.
41. Quehenberger O, Dennis EA. The human plasma lipidome. N Engl J Med 2011; 365:1812-1823.
42. Griffin JL, Atherton H, Shockcor J, Atzori L. Metabolomics as a tool for cardiac research. Nat Rev Cardiol 2011;8:630-643.