The potential biomarkers for thromboembolism detected by SELDI-TOF-MS |
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Authors: | Hong Mei Zhang Xiaoping Hu Yu Wang Huafang He Wenjuan Mei Heng Yu Jiekai Guo Tao Song Shanjun |
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Affiliation: | a Institute of Hematology, Affiliated Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China b Key Laboratory of Biological Targeted Therapy of Hubei Province, Wuhan, China c Cancer Institute, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China |
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Abstract: | IntroductionFew 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).Materials and MethodsWe 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.ResultsA 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%.ConclusionsPlasma 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. |
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Keywords: | SELDI-TOF-MS, Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry DVT, deep vein thrombosis AMI, acute myocardial infarction m/z, mass to charge ratio IMAC-3, immobilized metal affinity capture CUS, compression ultrasonography PGV, platelet glycoprotein V ECG, electrocardiogram PE, pulmonary embolism PBS, Protein Biology System SPA, sinapinic acid ZUCI-PDAS, Zhejiang University Cancer Institute-ProteinChip Data Analysis System UDWT, undecimated discrete wavelet transform S/N, signal-to-noise ratio SVM, support vector machine CV, coefficient of variation ROC, receiver operator characteristic CI, confidence interval AUC, areas under the ROC curves SVT, superficial venous thrombosis |
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