期刊论文详细信息
BMC Medicine
Serum protein profiles predict coronary artery disease in symptomatic patients referred for coronary angiography
Dennis M McNamara1  Suresh R Mulukutla3  Oscar C Marroquin3  Robert V Masterson6  Aleksey Lomakin2  Uma R Chandran5  Maureen A Lyons-Weiler4  Christin M Sciulli4  John M Krill-Burger4  Patricia Petrosko4  Lori A Kelly4  Rajiv Dhir5  William A LaFramboise5 
[1] UPMC Heart and Vascular Institute, 200 Lothrop Street, Pittsburgh, PA 15213, USA;Materials Processing Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;University of Pittsburgh, Department of Epidemiology, Graduate School of Public Health, Pittsburgh PA, 15213, USA;University of Pittsburgh, Department of Pathology, 5230 Centre Avenue, Pittsburgh, PA 15232, USA;University of Pittsburgh, Department of Biomedical Informatics, 5150 Centre Avenue, Pittsburgh, PA 15232, USA;Prevencio LLC, 454 N 34th Street, Seattle, WA 98103, USA
关键词: multiplex proteomics;    coronary stenosis;    coronary angiography;    cardiac catheterization;    biomarkers;    atherosclerosis;   
Others  :  857267
DOI  :  10.1186/1741-7015-10-157
 received in 2012-06-03, accepted in 2012-12-05,  发布年份 2012
PDF
【 摘 要 】

Background

More than a million diagnostic cardiac catheterizations are performed annually in the US for evaluation of coronary artery anatomy and the presence of atherosclerosis. Nearly half of these patients have no significant coronary lesions or do not require mechanical or surgical revascularization. Consequently, the ability to rule out clinically significant coronary artery disease (CAD) using low cost, low risk tests of serum biomarkers in even a small percentage of patients with normal coronary arteries could be highly beneficial.

Methods

Serum from 359 symptomatic subjects referred for catheterization was interrogated for proteins involved in atherogenesis, atherosclerosis, and plaque vulnerability. Coronary angiography classified 150 patients without flow-limiting CAD who did not require percutaneous intervention (PCI) while 209 required coronary revascularization (stents, angioplasty, or coronary artery bypass graft surgery). Continuous variables were compared across the two patient groups for each analyte including calculation of false discovery rate (FDR ≤ 1%) and Q value (P value for statistical significance adjusted to ≤ 0.01).

Results

Significant differences were detected in circulating proteins from patients requiring revascularization including increased apolipoprotein B100 (APO-B100), C-reactive protein (CRP), fibrinogen, vascular cell adhesion molecule 1 (VCAM-1), myeloperoxidase (MPO), resistin, osteopontin, interleukin (IL)-1β, IL-6, IL-10 and N-terminal fragment protein precursor brain natriuretic peptide (NT-pBNP) and decreased apolipoprotein A1 (APO-A1). Biomarker classification signatures comprising up to 5 analytes were identified using a tunable scoring function trained against 239 samples and validated with 120 additional samples. A total of 14 overlapping signatures classified patients without significant coronary disease (38% to 59% specificity) while maintaining 95% sensitivity for patients requiring revascularization. Osteopontin (14 times) and resistin (10 times) were most frequently represented among these diagnostic signatures. The most efficacious protein signature in validation studies comprised osteopontin (OPN), resistin, matrix metalloproteinase 7 (MMP7) and interferon γ (IFNγ) as a four-marker panel while the addition of either CRP or adiponectin (ACRP-30) yielded comparable results in five protein signatures.

Conclusions

Proteins in the serum of CAD patients predominantly reflected (1) a positive acute phase, inflammatory response and (2) alterations in lipid metabolism, transport, peroxidation and accumulation. There were surprisingly few indicators of growth factor activation or extracellular matrix remodeling in the serum of CAD patients except for elevated OPN. These data suggest that many symptomatic patients without significant CAD could be identified by a targeted multiplex serum protein test without cardiac catheterization thereby eliminating exposure to ionizing radiation and decreasing the economic burden of angiographic testing for these patients.

【 授权许可】

   
2012 LaFramboise et al; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20140723073736834.pdf 477KB PDF download
38KB Image download
18KB Image download
21KB Image download
16KB Image download
【 图 表 】

【 参考文献 】
  • [1]Rodger VL, Go AS, Lloyd-Jones D, Adams RJ, Benjamin EJ, Berry JD, Borden WB, Bravata DM, Dai S, Ford ES, Fox CS, Fullerton HJ, Gillespie C, Hailpern SM, Heit JA, Howard VJ, Kissela BM, Kittner SJ, Lackland DT, Lichtman JH, Lisabeth LD, Makuc DM, Marcus GM, Marelli A, Matchar DB, Moy CS, Mozaffarian D, Mussolino ME, Nichol G, Paynter NP, et al.: Heart disease and stroke statistics--2012 update: a report from the American Heart Association. Circulation 2012, 125:e2-e220.
  • [2]Xu JQ, Kochanek KD, Murphy SL, Tejada-Vera B: Deaths: final data for 2007 National vital statistics reports. Hyattsville, MD: National Center for Health Statistics; 2010.
  • [3]Scanlon PJ, Faxon DP, Audet AM, Carabello B, Dehmer GJ, Eagle KA, Legako RD, Leon DF, Murray JA, Nissen SE, Pepine CJ, Watson RM, Ritchie JL, Gibbons RJ, Cheitlin MD, Gardner TJ, Garson A Jr, Russell RO Jr, Ryan TJ, Smith SC Jr: ACC/AHA guidelines for coronary angiography. A report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (Committee on Coronary Angiography). Developed in collaboration with the Society for Cardiac Angiography and Interventions. J Am Coll Cardiol 1999, 33:1756-1824.
  • [4]Kolansky DM: Acute coronary syndromes: morbidity, mortality, and pharmacoeconomic burden. Am J Manag Care 2009, 15(Suppl):S36-41.
  • [5]Patel MR, Peterson ED, Dai D, Brennan JM, Redberg RF, Anderson HV, Brindis RG, Douglas PS: Low diagnostic yield of elective coronary angiography. N Engl J Med 2010, 362:886-895.
  • [6]Hacioglu Y, Gupta M, Budoff MJ: Noninvasive anatomical coronary artyery imaging versus myocardial perfusion imaging: which confers superior diagnostic and prognostic information? J Comput Assist Tomogr 2010, 34:637-644.
  • [7]Rosenberg S, Elashoff MR, Beineke P, Daniels SE, Wingrove JA, Tingley WG, Sager PT, Sehnert AJ, Yau M, Kraus WE, Newby LK, Schwartz RS, Voros S, Ellis SG, Tahirkheli N, Waksman R, McPherson J, Lansky A, Winn ME, Schork NJ, Topol EJ, PREDICT (Personalized Risk Evaluation and Diagnosis in the Coronary Tree) Investigators: Multicenter validation of the diagnostic accuracy of a blood-based gene expression test for assessing obstructive coronary artery disease in nondiabetic patients. Ann Intern Med 2010, 153:425-434.
  • [8]Fichtlscherer S, De Rosa S, Fox H, Schwietz T, Fischer A, Liebetrau C, Weber M, Hamm CW, Röxe T, Müller-Ardogan M, Bonauer A, Zeiher AM, Dimmeler S: Circulating microRNAs in patients with coronary artery disease. Circ Res 2010, 107:677-684.
  • [9]Wang K, Zhang S, Weber J, Baxter D, Galas DJ: Export of microRNAs and microRNA-protective protein by mammalian cells. Nucl Acids Res 2010, 38:7248-7259.
  • [10]Katus HA, Remppis A, Neumann FJ, Scheffold T, Diederich KW, Vinar G, Noe A, Matern G, Kuebler W: Diagnostic efficiency of troponin T measurements in acute myocardial infarction. Circulation 1991, 83:902-912.
  • [11]James SK, Lindahl B, Siegbahn A, Stridsberg M, Venge P, Armstrong P, Barnathan ES, Califf R, Topol EJ, Simoons ML, Wallentin L: N-terminal pro-brain natriuretic peptide and other risk markers for the separate prediction of mortality and subsequent myocardial infarction in patients with unstable coronary artery disease: a Global Utilization of Strategies To Open occluded arteries (GUSTO)-IV substudy. Circulation 2003, 108:275-281.
  • [12]Moriates C, Maisel A: The utility of biomarkers in sorting out the complex patient. Am J Med 2010, 123:393-399.
  • [13]Storey JD: The positive false discovery rate: A bayesian interpretation and the q-value. Ann Stat 2003, 31:2013-2035.
  • [14]Ross R: The pathogenesis of atherosclerosis: a perspective for the 1990s. Nat Rev 1993, 362:801-809.
  • [15]Erren M, Reinecke H, Junker R, Fobker M, Schulte H, Schurek JO, Kropf J, Kerber S, Breithardt G, Assmann G, Cullen P: Systemic inflammatory parameters in patients with atherosclerosis of the coronary and peripheral arteries. Arterioscler Thromb Vasc Biol 1999, 19:2355-2363.
  • [16]Tedgui A, Mallat Z: Cytokines in atherosclerosis: pathogenic and regulatory pathways. Physiol Rev 2006, 86:515-581.
  • [17]Jernberg T, Stridsberg M, Venge P, Lindahl B: N-terminal pro brain natriuretic peptide on admission for early risk stratification of patients with chest pain and no ST-segment elevation. J Am Coll Cardiol 2002, 40:437-445.
  • [18]Di Angelantonio E, Chowdhury R, Sarwar N, Ry KK, Gobin R, Saleheen D, Thompson A, Gudnason V, Sattar N, Danesh J: B-Type natriuretic peptides and cardiovascular risk. Systematic review and meta-analysis of 40 prospective studies. Circulation 2009, 120:2177-2187.
  • [19]Walldius G, Jungner I, Aastveit AH, Holme I, Curt D, Furberg CD, Sniderman AD: The apoB/apoA-I ratio is better than the cholesterol ratios to estimate the balance between plasma proatherogenic and antiatherogenic lipoproteins and to predict coronary risk. Clin Chem Lab Med 2004, 42:1355-1363.
  • [20]Pullinger CR, Hennessy LK, Chatterton JE, Liu W, Love JA, Mendel CM, Frost PH, Malloy MJ, Schumaker VN, Kane JP: Familial ligand-defective apolipoprotein B. Identification of a new mutation that decreases LDL receptor binding affinity. J Clin Invest 1995, 95:1225-1234.
  • [21]Haas MJ, Mooradian AD: Therapeutic interventions to enhance apolipoprotein A-1 mediated cardioprotection. Drugs 2010, 70:805-821.
  • [22]Zhang R, Brennan ML, Shen Z, MacPherson JC, Schmitt D, Molenda CE, Hazen SL: Myeloperoxidase functions as a major enzymatic catalyst for initiation of lipid peroxidation at sites of inflammation. J Biol Chem 2002, 277:46116-46122.
  • [23]Naruko T, Furukawa A, Yunoki K, Komatsu R, Nakagawa M, Matsumura Y, Shirai N, Sugioka K, Takagi M, Hozumi T, Itoh A, Haze K, Yoshiyama M, Becker AE, Ueda M: Increased expression and plasma levels of myeloperoxidase are closely related to the presence of angiographically-detected complex lesion morphology in unstable angina. Heart 2010, 96:1716-1722.
  • [24]Stofkova A: Resistin and visfatin: regulators of insulin sensitivity, inflammation and immunity. Endocr Regul 2010, 44:25-36.
  • [25]Ashkar S, Weber GF, Panoutsakopoulou V, Sanchirico ME, Jansson M, Zawaideh S, Rittling SR, Denhardt DT, Glimcher MJ, Cantor H: Eta-1 (osteopontin): an early component of type-1 (cell-mediated) immunity. Science 2000, 287:860-864.
  • [26]Franzén A, Heinegård D: Isolation and characterization of two sialoproteins present only in bone calcified matrix. Biochem J 1985, 232:715-724.
  • [27]Abdel-Azeez HA, Al-Zaky M: Plasma osteopontin as a predictor of coronary artery disease: association with echocardiographic characteristics of atherosclerosis. J Clin Lab Anal 2010, 24:201-206.
  • [28]Ye F, Than A, Zhao Y, Goh KH, Chen P: Vesicular storage, vesicle trafficking, and secretion of leptin and resistin: the similarities, differences, and interplays. J Endocrinol 2010, 206:27-36.
  • [29]Feng Z, Prentice R, Srivastava S: Research issues and strategies for genomic and proteomic biomarker discovery and validation: a statistical perspective. Pharmacogenom Rev 2004, 5:709-719.
  • [30]Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, Moher D, Rennie D, deVet HCW, Lijmer JG: The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann Int Med 2003, 138:40-44.
  • [31]Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB: Prediction of coronary heart disease using risk factor categories. Circulation 1998, 97:1837-1847.
  文献评价指标  
  下载次数:40次 浏览次数:13次