The potential biomarkers for thromboembolism detected by SELDI-TOF-MS

• Published in: Thrombosis research Vol. 123; no. 3; pp. 556 - 564
• Main Authors: Hong, Mei, Zhang, Xiaoping, Hu, Yu, Wang, Huafang, He, Wenjuan, Mei, Heng, Yu, Jiekai, Guo, Tao, Song, Shanjun
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Ltd 01.01.2009; Elsevier
• Subjects: Acute myocardial infarction; Adult; Aged; Aged, 80 and over; Biological and medical sciences; Biomarker; Biomarkers - blood; Blood and lymphatic vessels; Blood Chemical Analysis - methods; Blood Chemical Analysis - statistics & numerical data; Blood Proteins - analysis; Blood. Blood coagulation. Reticuloendothelial system; Cardiology. Vascular system; Case-Control Studies; Deep vein thrombosis; Diseases of the peripheral vessels. Diseases of the vena cava. Miscellaneous; Female; Hematology, Oncology and Palliative Medicine; Humans; Male; Medical sciences; Middle Aged; Myocardial Infarction - blood; Myocardial Infarction - diagnosis; Pharmacology. Drug treatments; Protein Array Analysis - methods; Protein Array Analysis - statistics & numerical data; Reproducibility of Results; ROC Curve; SELDI-TOF-MS; Sensitivity and Specificity; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - statistics & numerical data; Thromboembolism; Thromboembolism - blood; Thromboembolism - diagnosis; SELDI-TOF-MS; CUS; PBS; IMAC-3; Biomarker; DVT; SPA; CI; ROC; ECG; Deep vein thrombosis; UDWT; SVM; AUC; SVT; S/N; CV; PE; ZUCI-PDAS; m/z; Acute myocardial infarction; Thromboembolism; AMI; PGV; superficial venous thrombosis; Zhejiang University Cancer Institute-ProteinChip Data Analysis System; receiver operator characteristic; sinapinic acid; immobilized metal affinity capture; mass to charge ratio; electrocardiogram; areas under the ROC curves; compression ultrasonography; undecimated discrete wavelet transform; pulmonary embolism; platelet glycoprotein V; Protein Biology System; Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry; deep vein thrombosis; support vector machine; signal-to-noise ratio; confidence interval; acute myocardial infarction; coefficient of variation; Myocardial infarction; Cardiovascular disease; Coronary heart disease; Myocardial disease; Embolism; Venous disease; Vascular disease; SELDI-TDF-MS; Venous thrombosis
• ISSN: 0049-3848; 1879-2472
• DOI: 10.1016/j.thromres.2008.05.019

Few studies were concerned about searching for specific biomarkers for thromboembolic (arterial and venous) diseases by the use of Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS). We screened for potential biomarkers in 69 plasma samples, including samples from 20 patients with idiopathetic deep vein thrombosis (DVT), 20 patients with acute myocardial infarction (AMI), and 29 healthy controls without a history of thromboembolism. Pretreated plasma samples were analyzed on the Protein Biology System IIc plus SELDI-TOF-MS (Ciphergen Biosystems, Fremont, CA). Proteomic spectra of mass to charge ratio ( m/z) were generated by the application of plasma to immobilized metal affinity capture (IMAC-3) ProteinChip arrays activated with copper. A pattern of three biomarkers ( m/z: 2 667, 5 914, and 6 890 Da, respectively) with a total accuracy of 100% was selected based on their collective contribution to the optimal separation between patients with AMI and healthy controls. Another spattern consisting of only one biomarker ( m/z: 5 914 Da) could totally discriminate patients with DVT and control subjects. For further analysis between patients with AMI and those with DVT, a pattern of four biomarkers ( m/z: 3 418, 5 271, 33 378, and 68 125 Da, respectively) was selected with a total accuracy of 82.5%. Plasma proteomic profiling with SELDI-TOF-MS and ProteinChip technologies provides high sensitivity and specificity in discriminating patients with thrombosis and healthy subjects. The discovered biomarkers might show great potential for early diagnosis of thromboembolic diseases.