GlycA, a pro-inflammatory glycoprotein biomarker, and incident cardiovascular disease: Relationship with C-reactive protein and renal function

PLoS ONE

Volumn 10, Issue 9, 2015, Pages

  Gruppen, Eke G ^a   Riphagen, Ineke J ^a   Connelly, Margery A ^b   Otvos, James D ^b   Bakker, Stephan J L ^a   Dullaart, Robin P F ^a  

^a UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

^b LABORATORY CORPORATION OF AMERICA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIDIABETIC AGENT; ANTIHYPERTENSIVE AGENT; ANTILIPEMIC AGENT; C REACTIVE PROTEIN; GLYCOPROTEIN; PROTEIN GLYCA; UNCLASSIFIED DRUG; BIOLOGICAL MARKER;

ADULT; AGED; ALBUMINURIA; ARTICLE; CARDIOVASCULAR DISEASE; CARDIOVASCULAR MORTALITY; CARDIOVASCULAR RISK; COHORT ANALYSIS; CONTROLLED STUDY; DISEASE ASSOCIATION; DYSLIPIDEMIA; FEMALE; GLOMERULUS FILTRATION RATE; HIGH RISK POPULATION; HUMAN; HYPERTENSION; INCIDENCE; INFLAMMATION; KIDNEY FUNCTION; MAJOR CLINICAL STUDY; MALE; MORBIDITY; NON INSULIN DEPENDENT DIABETES MELLITUS; PROSPECTIVE STUDY; BLOOD; CARDIOVASCULAR DISEASES; KIDNEY DISEASE; MIDDLE AGED; MORTALITY; NETHERLANDS; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; RISK FACTOR; SEX DIFFERENCE;

ADULT; AGED; BIOMARKERS; C-REACTIVE PROTEIN; CARDIOVASCULAR DISEASES; FEMALE; GLOMERULAR FILTRATION RATE; GLYCOPROTEINS; HUMANS; INCIDENCE; INFLAMMATION; KIDNEY DISEASES; MAGNETIC RESONANCE SPECTROSCOPY; MALE; MIDDLE AGED; NETHERLANDS; PROSPECTIVE STUDIES; RISK FACTORS; SEX FACTORS;

EID: 84946605202     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0139057     Document Type: Article

References (37)

1. Gornik O, Lauc G. Glycosylation of serum proteins in inflammatory diseases. Dis Markers. 2008; 25: 267-278. PMID: 19126970
2. Axford J. The impact of glycobiology on medicine. Trends Immunol. 2001; 22: 237-239. PMID: 11323271
3. Ohtsubo K, Marth JD. Glycosylation in cellular mechanisms of health and disease. Cell. 2006; 126: 855-867. PMID: 16959566
4. Ormseth MJ, Chung CP, Oeser AM, Connelly MA, Sokka T, Raggi P, et al. Utility of a novel inflammatory marker, GlycA, for assessment of rheumatoid arthritis disease activity and coronary atherosclerosis. 2015;17: 117.
5. Libby P, Ridker PM, Maseri A. Inflammation and atherosclerosis. Circulation. 2002; 105: 1135-1143. PMID: 11877368
6. Corsetti JP, Gansevoort RT, Sparks CE, Dullaart RP. Inflammation reduces HDL protection against primary cardiac risk. Eur J Clin Invest. 2010; 40: 483-489. doi: 10.1111/j.1365-2362.2010.02287.x PMID: 20412290
7. Ridker PM, Hennekens CH, Buring JE, Rifai N. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. N Engl J Med. 2000; 342: 836-843. PMID: 10733371
8. Ridker PM. Clinical application of C-reactive protein for cardiovascular disease detection and prevention. Circulation. 2003; 107: 363-369. PMID: 12551853
9. Lagrand WK, Visser CA, Hermens WT, Niessen HW, Verheugt FW, Wolbink GJ, et al. C-reactive protein as a cardiovascular risk factor: more than an epiphenomenon? Circulation. 1999; 100: 96-102. PMID: 10393687
10. C Reactive Protein Coronary Heart Disease Genetics Collaboration (CCGC), Wensley F, Gao P, Burgess S, Kaptoge S, Di Angelantonio E, et al. Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on individual participant data. BMJ. 2011; 342: d548. doi: 10.1136/bmj.d548 PMID: 21325005
11. Otvos JD, Shalaurova I, Wolak-Dinsmore J, Connelly MA, Mackey RH, Stein JH, et al. GlycA: A Composite Nuclear Magnetic Resonance Biomarker of Systemic Inflammation. Clin Chem. 2015; 61: 714-723. doi: 10.1373/clinchem.2014.232918 PMID: 25779987
12. Ala-Korpela M. Serum Nuclear Magnetic Resonance Spectroscopy: One More Step toward Clinical Utility. Clin Chem. 2015; 61: 681-683. doi: 10.1373/clinchem.2015.238279 PMID: 25759464
13. Akinkuolie AO, Buring JE, Ridker PM, Mora S. A novel protein glycan biomarker and future cardiovascular disease events. J Am Heart Assoc. 2014; 3: e001221. doi: 10.1161/JAHA.114.001221 PMID: 25249300
14. Chronic Kidney Disease Prognosis Consortium. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. 2010;375: 2073-2081.
15. van der Velde M, Matsushita K, Coresh J, Astor BC, Woodward M, Levey A, et al. Lower estimated glomerular filtration rate and higher albuminuria are associated with all-cause and cardiovascular mortality. A collaborative meta-analysis of high-risk population cohorts. Kidney Int. 2011; 79: 1341-1352. doi:10. 1038/ki.2010.536 PMID: 21307840
16. Matsushita K, Coresh J, Sang Y, Chalmers J, Fox C, Guallar E, et al. Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data. Lancet Diabetes Endocrinol. 2015; 3: 514-525. doi: 10.1016/S2213-8587(15) 00040-6 PMID: 26028594
17. Cachofeiro V, Goicochea M, de Vinuesa SG, Oubiña P, Lahera V, Luño J. Oxidative stress and inflammation, a link between chronic kidney disease and cardiovascular disease. Kidney Int. 2008; 74: S4-S9.
18. Corsetti JP, Gansevoort RT, Bakker SJ, Sparks CE, Vart P, Dullaart RP. Apolipoprotein B attenuates albuminuria-associated cardiovascular disease in prevention of renal and vascular endstage disease (PREVEND) participants. J Am Soc Nephrol. 2014; 25: 2906-2915. doi: 10.1681/ASN.2013121256 PMID: 24854276
19. Halbesma N, Brantsma AH, Bakker SJ, Jansen DF, Stolk RP, De Zeeuw D, et al. Gender differences in predictors of the decline of renal function in the general population. Kidney Int. 2008; 74: 505-512. doi: 10.1038/ki.2008.200 PMID: 18496511
20. Koning SH, Gansevoort RT, Mukamal KJ, Rimm EB, Bakker SJ, Joosten MM, et al. Alcohol consumption is inversely associated with the risk of developing chronic kidney disease. Kidney Int. 2015; 87: 1009-1016. doi: 10.1038/ki.2014.414 PMID: 25587707
21. Inker LA, Schmid CH, Tighiouart H, Eckfeldt JH, Feldman HI, Greene T, et al. Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med. 2012; 367: 20-29. doi: 10.1056/ NEJMoa1114248 PMID: 22762315
22. Matyus SP, Braun PJ, Wolak-Dinsmore J, Jeyarajah EJ, Shalaurova I, Xu Y, et al. NMR measurement of LDL particle number using the Vantera1 Clinical Analyzer. Clin Biochem. 2014; 47: 203-210. doi: 10.1016/j.clinbiochem.2014.07.015 PMID: 25079243
23. Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007; 115: 928-935. PMID: 17309939
24. Selvin S. Statistical analysis of epidemiologic data. 3rd ed. Oxford University Press; 2004.
25. Akinkuolie AO, Pradhan AD, Buring JE, Ridker PM, Mora S. Novel protein glycan side-chain biomarker and risk of incident type 2 diabetes mellitus. Arterioscler Thromb Vasc Biol. 2015; 35: 1544-1550. doi: 10.1161/ATVBAHA.115.305635 PMID: 25908766
26. Yin X, Subramanian S, Hwang SJ, O'Donnell CJ, Fox CS, Courchesne P, et al. Protein biomarkers of new-onset cardiovascular disease: prospective study from the systems approach to biomarker research in cardiovascular disease initiative. Arterioscler Thromb Vasc Biol. 2014; 34: 939-945. doi: 10.1161/ATVBAHA.113.302918 PMID: 24526693
27. Fischer K, Kettunen J, Würtz P, Haller T, Havulinna AS, Kangas AJ, et al. Biomarker profiling by nuclear magnetic resonance spectroscopy for the prediction of all-cause mortality: an observational study of 17, 345 persons. 2014;11: e1001606.
28. Dullaart RP, Gruppen EG, Connelly MA, Otvos JD, Lefrandt JD. GlycA, a biomarker of inflammatory glycoproteins, is more closely related to the leptin/adiponectin ratio than to glucose tolerance status. Clin Biochem. 2015; 48: 811-814. doi: 10.1016/j.clinbiochem.2015.05.001 PMID: 25977069
29. Stuveling EM, Hillege HL, Bakker SJ, Gans RO, De Jong PE, De Zeeuw D. C-reactive protein is associated with renal function abnormalities in a non-diabetic population. Kidney Int. 2003; 63: 654-661. PMID: 12631131
30. Stehouwer CD, Smulders YM. Microalbuminuria and risk for cardiovascular disease: Analysis of potential mechanisms. J Am Soc Nephrol. 2006; 17: 2106-2111. PMID: 16825333
31. Zambrano-Galvan G, Rodríguez-Morán M, Simental-Mendía LE, Lazalde B, Reyes-Romero MA, Guerrero- Romero F. C-reactive protein is directly associated with urinary albumin-to-creatinine ratio. Arch Med Res. 2011; 42: 451-456. doi: 10.1016/j.arcmed.2011.09.009 PMID: 21945876
32. Tsai YC, Hung CC, Kuo MC, Tsai JC, Yeh SM, Hwang SJ, et al. Association of hsCRP, white blood cell count and ferritin with renal outcome in chronic kidney disease patients. PLoS One. 2012; 7: e52775. doi: 10.1371/journal.pone.0052775 PMID: 23300770
33. Jiang H, Guan G, Zhang R, Liu G, Liu H, Hou X, et al. Increased urinary excretion of orosomucoid is a risk predictor of diabetic nephropathy. 2009;14: 332-337.
34. Liu X, Shao C, Wei L, Duan J, Wu S, Li X, et al. An individual urinary proteome analysis in normal human beings to define the minimal sample number to represent the normal urinary proteome. 2012;10: 70.
35. Kaysen GA, Dubin JA, Müller HG, Mitch WE, Levin NW. Levels of α1 acid glycoprotein and ceruloplasmin predict future albumin levels in hemodialysis patients. Kidney Int. 2001; 60: 2360-2366. PMID: 11737611
36. Kappelle P, Gansevoort R, Hillege J, Wolffenbuttel B, Dullaart R. Apolipoprotein B/A-I and total cholesterol/ high-density lipoprotein cholesterol ratios both predict cardiovascular events in the general population independently of nonlipid risk factors, albuminuria and C-reactive protein. J Intern Med. 2011; 269: 232-242. doi: 10.1111/j.1365-2796.2010.02323.x PMID: 21129046
37. Kunutsor SK, Bakker SJ, Gansevoort RT, Chowdhury R, Dullaart RP. Circulating total bilirubin and risk of incident cardiovascular disease in the general population. Arterioscler Thromb Vasc Biol. 2015; 35: 716-724. doi: 10.1161/ATVBAHA.114.304929 PMID: 25593130