Biomarker Profiling by Nuclear Magnetic Resonance Spectroscopy for the Prediction of All-Cause Mortality: An Observational Study of 17,345 Persons

PLoS Medicine

Volumn 11, Issue 2, 2014, Pages

  Fischer, Krista ^a   Kettunen, Johannes ^b,c,d   Würtz, Peter ^b,d   Haller, Toomas ^a   Havulinna, Aki S ^c   Kangas, Antti J ^d   Soininen, Pasi ^d,e   Esko, Tõnu ^a,f,g,h   Tammesoo, Mari Liis ^a   Mägi, Reedik ^a   Smit, Steven ^a   Palotie, Aarno ^b,f,i   Ripatti, Samuli ^b,i   Salomaa, Veikko ^c   Ala Korpela, Mika ^d,e,j   Perola, Markus ^a,b   Metspalu, Andres ^a,k  

^a UNIVERSITY OF TARTU   (Estonia)

^b UNIVERSITY OF HELSINKI   (Finland)

^c NATIONAL PUBLIC HEALTH INSTITUTE   (Finland)

^d OULU UNIVERSITY HOSPITAL   (Finland)

^e UNIVERSITY OF EASTERN FINLAND   (Finland)

^f BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^g BOSTON CHILDREN S HOSPITAL   (United States)

^h HARVARD MEDICAL SCHOOL   (United States)

ⁱ WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^j UNIVERSITY OF BRISTOL   (United Kingdom)

^k UNIVERSITY OF TARTU   (Estonia)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ALBUMIN; BIOLOGICAL MARKER; CHOLESTEROL; CITRIC ACID; CREATININE; OROSOMUCOID; TRIACYLGLYCEROL; VERY LOW DENSITY LIPOPROTEIN;

ADULT; AGE; AGED; ALCOHOL CONSUMPTION; ARTICLE; BODY MASS; CANCER MORTALITY; CARDIOVASCULAR MORTALITY; FEMALE; HUMAN; MALE; MORTALITY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; OBSERVATIONAL STUDY; PREDICTION; PREDICTIVE VALUE; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; SENSITIVITY ANALYSIS; SMOKING; SYSTOLIC BLOOD PRESSURE;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; BIOLOGICAL MARKERS; BIOLOGICAL SPECIMEN BANKS; CAUSE OF DEATH; CITRIC ACID; ESTONIA; FEMALE; FINLAND; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; KAPLAN-MEIER ESTIMATE; LIPOPROTEINS, LDL; MAGNETIC RESONANCE SPECTROSCOPY; MALE; MIDDLE AGED; OROSOMUCOID; PARTICLE SIZE; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SERUM ALBUMIN; TIME FACTORS; YOUNG ADULT;

EID: 84895429352     PISSN: 15491277     EISSN: 15491676     Source Type: Journal    
DOI: 10.1371/journal.pmed.1001606     Document Type: Article

References (33)

1. Wang TJ, Gona P, Larson MG, Tofler GH, Levy D, et al. (2006) Multiple biomarkers for the prediction of first major cardiovascular events and death. N Engl J Med 355: 2631-2639.
2. Roberts LD, Gerszten RE, (2013) Toward new biomarkers of cardiometabolic diseases. Cell Metab 18: 43-50.
3. Nicholson JK, Holmes E, Kinross JM, Darzi AW, Takats Z, et al. (2012) Metabolic phenotyping in clinical and surgical environments. Nature 491: 384-392.
4. Shah SH, Kraus WE, Newgard CB, (2012) Metabolomic profiling for the identification of novel biomarkers and mechanisms related to common cardiovascular diseases: form and function. Circulation 126: 1110-1120.
5. Wang TJ, Larson MG, Vasan RS, Cheng S, Rhee EP, et al. (2011) Metabolite profiles and the risk of developing diabetes. Nat Med 17: 448-453.
6. Schulze A, Harris AL, (2012) How cancer metabolism is tuned for proliferation and vulnerable to disruption. Nature 491: 364-373.
7. Clarke R, Emberson JR, Breeze E, Casas JP, Parish S, et al. (2008) Biomarkers of inflammation predict both vascular and non-vascular mortality in older men. Eur Heart J 29: 800-809.
8. Emerging Risk Factors Collaboration (2011) Seshasai SR, Kaptoge S, Thompson A, Di Angelantonio E, et al. (2011) Diabetes mellitus, fasting glucose, and risk of cause-specific death. N Engl J Med 364: 829-841.
9. Langley RJ, Tsalik EL, van Velkinburgh JC, Glickman SW, Rice BJ, et al. (2013) An integrated clinico-metabolomic model improves prediction of death in sepsis. Sci Transl Med 5: 195ra95.
10. Leitsalu L, Haller T, Esko T, Tammesoo ML, Alavere H, et al. (2014) Cohort profile: Estonian Biobank of the Estonian Genome Center, University of Tartu. Int J Epidemiol In press. doi:10.1093/ije/dyt268.
11. Vartiainen E, Laatikainen T, Peltonen M, Juolevi A, Männistö S, et al. (2010) Thirty-five-year trends in cardiovascular risk factors in Finland. Int J Epidemiol 39: 504-518.
12. Kujala UM, Mäkinen VP, Heinonen I, Soininen P, Kangas AJ, et al. (2013) Long-term leisure-time physical activity and serum metabolome. Circulation 127: 340-348.
13. Kettunen J, Tukiainen T, Sarin AP, Ortega-Alonso A, Tikkanen E, et al. (2012) Genome-wide association study identifies multiple loci influencing human serum metabolite levels. Nat Genet 44: 269-276.
14. Soininen P, Kangas AJ, Würtz P, Tukiainen T, Tynkkynen T, et al. (2009) High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism. Analyst 134: 1781-1785.
15. Thiebaut ACM, Benichou J, (2004) Choice of time-scale in Cox's model analysis of epidemiologic cohort data: a simulation study. Statist Med 23: 3803-3820.
16. D'Agostino RB, Vasan RS, Pencina MJ, Wolf PA, Cobain M, et al. (2008) General cardiovascular risk profile for use in primary care-the Framingham Heart Study. Circulation 117: 743-753.
17. Antolini L, Nam BH, D'Agostico RB, (2004) Inference on correlated discrimination measures in survival analysis: a nonparametric approach. Commun Statist Theory Meth 33: 2117-2135.
18. Pencina MJ, D'Agostino RB Sr, Steyerberg EW, (2010) Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 30: 11-21.
19. Perk J, De Backer G, Gohlke H, Graham I, Reiner Z, et al. (2012) European guidelines on cardiovascular disease prevention in clinical practice (version 2012). Eur Heart J 33: 1635-1701.
20. Lee DS, Park J, Kay KA, Christakis NA, Oltvai ZN, et al. (2008) The implications of human metabolic network topology for disease comorbidity. Proc Natl Acad Sci U S A 105: 9880-9885.
21. Fournier T, Medjoubi-N N, Porquet D, (2000) Alpha-1-acid glycoprotein. Biochim Biophys Acta 1482: 157-171.
22. Carriere I, Dupuy A, Lacroux A, Cristol J, Delcourt C, (2008) Biomarkers of inflammation and malnutrition associated with early death in healthy elderly people. J Am Geriatr Soc 56: 840-846.
23. Engström G, Lind P, Hedblad B, Stavenow L, Janzon L, et al. (2002) Effects of cholesterol and inflammation-sensitive plasma proteins on incidence of myocardial infarction and stroke in men. Circulation 105: 2632-2637.
24. Bruno R, Olivares R, Berille J, Chaikin P, Vivier N, et al. (2003) Alpha-1-acid glycoprotein as an independent predictor for treatment effects and a prognostic factor of survival in patients with non-small cell lung cancer treated with docetaxel. Clin Cancer Res 9: 1077-1082.
25. Goldwasser P, Feldman J, (1997) Association of serum albumin and mortality risk. J Clin Epidemiol 50: 693-703.
26. Phillips A, Shaper AG, Whincup PH, (1989) Association between serum-albumin and mortality from cardiovascular-disease, cancer, and other causes. Lancet 2: 1434-1436.
27. Corti MC, Guralnik JM, Salive ME, Sorkin JD, (1994) Serum-albumin level and physical-disability as predictors of mortality in older persons. JAMA 272: 1036-1042.
28. Do R, Willer CJ, Schmidt EM, Sengupta S, Gao C, et al. (2013) Common variants associated with plasma triglycerides and risk for coronary artery disease. Nat Genet 45: 1345-1352.
29. Nordestgaard BG, Benn M, Schnohr P, Tybjaerg-Hansen A, (2007) Nonfasting triglycerides and risk of myocardial infarction, ischemic heart disease, and death in men and women. JAMA 298: 299-308.
30. Varbo A, Benn M, Tybjærg-Hansen A, Nordestgaard BG, (2013) Elevated remnant cholesterol causes both low-grade inflammation and ischemic heart disease, whereas elevated low-density lipoprotein cholesterol causes ischemic heart disease without inflammation. Circulation 128: 1298-1309.
31. Fraenkl SA, Muser J, Groell R, Reinhard G, Orgul S, et al. (2011) Plasma citrate levels as a potential biomarker for glaucoma. J Ocul Pharmacol Ther 27: 577-580.
32. Quehenberger O, Dennis EA, (2011) The human plasma lipidome. N Engl J Med 365: 1812-1823.
33. Langsted A, Freiberg JJ, Nordestgaard BG, (2008) Fasting and nonfasting lipid levels influence of normal food intake on lipids, lipoproteins, apolipoproteins, and cardiovascular risk prediction. Circulation 118: 2047-2056.