Comparative proteomic analysis of serum diagnosis patterns of sputum smear-positive pulmonary tuberculosis based on magnetic bead separation and mass spectrometry analysis

International Journal of Clinical and Experimental Medicine

Volumn 8, Issue 2, 2015, Pages 2077-2085

  Liu, Jiyan ^a   Jiang, Tingting ^b   Jiang, Feng ^c   Xu, Dandan ^b   Wei, Liliang ^d   Wang, Chong ^b   Chen, Zhongliang ^b   Zhang, Xing ^b   Li, Jicheng ^b  

^a HANGZHOU NORMAL UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c BEIJING UNIVERSITY OF CHINESE MEDICINE   (China)

^d Sixth Hospital of Shaoxing   (China)

Author keywords

Biomarker; Proteomic; Sputum smear negative pulmonary tuberculosis; Surface enhanced laser desorption ionization

Indexed keywords

PLASMA PROTEIN;

ADULT; ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DOWN REGULATION; EARLY DIAGNOSIS; FEMALE; HUMAN; LUNG TUBERCULOSIS; MAJOR CLINICAL STUDY; MALE; MORBIDITY; MORTALITY; PROTEIN BLOOD LEVEL; PROTEOMICS; SENSITIVITY AND SPECIFICITY; SPUTUM SMEAR; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; UPREGULATION;

EID: 84926311286     PISSN: None     EISSN: 19405901     Source Type: Journal    
DOI: None     Document Type: Article

References (29)

1. World Health Organization. Global tuberculosis report 2013. Available: http://www.who.int/tb/publications/global_report/en/ Accessed 2 September 2014.
2. Feyzioglu B, Dogan M, Sanli OO, Ozdemir M and Baykan M. Comparison of the performance of TK system with LJ and MGIT methods in the diagnosis of tuberculosis. Int J Clin Exp Med 2014; 7: 1084-1088.
3. Agranoff D, Fernandez-Reyes D, Papadopoulos MC, Rojas SA, Herbster M, Loosemore A, Tarelli E, Sheldon J, Schwenk A, Pollok R, Rayner CF and Krishna S. Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum. Lancet 2006; 368: 1012-1021.
4. Kumar P, Pandya D, Singh N, Behera D, Aggarwal P and Singh S. Loop-mediated isothermal amplification assay for rapid and sensitive diagnosis of tuberculosis. J Infect 2014; 69: 607-615.
5. Caliskan T, Ozkisa T, Aribal S, Kaya H, Incedayi M, Ulcay A and Ciftci F. High resolution computed tomography findings in smear-negative pulmonary tuberculosis patients according to their culture status. J Thorac Dis 2014; 6: 706-712.
6. Sreeramareddy CT, Rahman M, Harsha Kumar HN, Shah M, Hossain AM, Sayem MA, Moreira JM and Van den Ende J. Intuitive weights of harm for therapeutic decision making in smear-negative pulmonary Tuberculosis: an interview study of physicians in India, Pakistan and Bangladesh. BMC Med Inform Decis Mak 2014; 14: 67.
7. Liu Y, Hüttenhain R, Collins B and Aebersold R. Mass spectrometric protein maps for biomarker discovery and clinical research. Expert Rev Mol Diagn 2013; 13: 811-825.
8. Cardoza JD, Parikh JR, Ficarro SB and Marto JA. Mass spectrometry-based proteomics: qualitative identification to activity-based protein profiling. Wiley Interdiscip Rev Syst Biol Med 2012; 4: 141-162.
9. Cho WC. Proteomics technologies and challenges. Genomics Proteomics Bioinformatics 2007; 5: 77-85.
10. Liu Z, Yuan Z and Zhao Q. SELDI-TOF-MS proteomic profiling of serum, urine, and amniotic fluid in neural tube defects. PLoS One 2014; 9: e103276.
11. Cao XL, Li H, Yu XL, Liang P, Dong BW, Fan J, Li M and Liu FY. Predicting early intrahepatic recurrence of hepatocellular carcinoma after microwave ablation using SELDI-TOF proteomic signature. PLoS One 2013; 8: e82448.
12. World Health Organization; International Union Against Tuberculosis and Lung Disease; Royal Netherlands Tuberculosis Association. Revised international definitions in tuberculosis control. Int J Tuberc Lung Dis 2001; 5: 213-215.
13. Liu J, Jiang T, Wei L, Yang X, Wang C, Zhang X, Xu D, Chen Z, Yang F and Li JC. The discovery and identification of a candidate proteomic biomarker of active tuberculosis. BMC Infect Dis 2013; 13: 506.
14. Chung L, Moore K, Phillips L, Boyle FM, Marsh DJ and Baxter RC. Novel serum protein biomarker panel revealed by mass spectrometry and its prognostic value in breast cancer. Breast Cancer Res 2014; 16: R63.
15. Li X, Liu W, Dong B, Sheng L, Ren H, Han Z, Lu T and Liang P. Identification of serum biomarkers for lung cancer using protein mass spectrometry. Mol Med Rep 2012; 6: 531-534.
16. Garrisi VM, Tommasi S, Facchiano A, Bongarzone I, De Bortoli M, Cremona M, Cafagna V, Abbate I, Tufaro A, Quaranta M and Paradiso A. Proteomic profile in familial breast cancer patients. Clin Biochem 2013; 46: 259-265.
17. Zhang J, Wu X, Shi L, Liang Y, Xie Z, Yang Y, Li Z, Liu C and Yang F. Diagnostic serum proteomic analysis in patients with active tuberculosis. Clin Chim Acta 2012; 413: 883-887.
18. Liu JY, Jin L, Zhao MY, Zhang X, Liu CB, Zhang YX, Li FJ, Zhou JM, Wang HJ and Li JC. New serum biomarkers for detection of tuberculosis using surface- enhanced laser desorption/ionization time-of-flight mass spectrometry. Clin Chem Lab Med 2011; 49: 1727-1733.
19. Marko-Varga G, Lindberg H, Löfdahl CG, Jönsson P, Hansson L, Dahlbäck M, Lindquist E, Johansson L, Foster M and Fehniger TE. Discovery of biomarker candidates within disease by protein profiling: principles and concepts. J Proteome Res 2005; 4: 1200-1212.
20. Cho WC, Yip TT, Chung WS, Leung AW, Cheng CH and Yue KK. Potential biomarkers found by protein profiling may provide insight for the macrovascular pathogenesis of diabetes mellitus. Dis Markers 2006; 22: 153-166.
21. Wallis RS, Wang C, Doherty TM, Onyebujoh P, Vahedi M, Laang H, Olesen O, Parida S and Zumla A. Biomarkers for tuberculosis disease activity, cure, and relapse. Lancet Infect Dis 2010; 10: 68-69.
22. Phillips PP, Davies GR and Mitchison DA. Biomarkers for tuberculosis disease activity, cure, and relapse. Lancet Infect Dis 2010; 10: 69-70.
23. Fan L, Zhang Q, Cheng L, Liu Z, Ji X, Cui Z, Ju J and Xiao H. Clinical diagnostic performance of the simultaneous amplification and testing me-thods for detection of the Mycobacterium tuberculosis complex for smear –negative or sputum-scarce pulmonary tuberculosis in China. Chin Med J (Engl) 2014; 127: 1863-1867.
24. Liu Q, Chen X, Hu C, Zhang R, Yue J, Wu G, Li X, Wu Y and Wen F. Serum protein profiling of smear-positive and smear-negative pulmonary tuberculosis using SELDI-TOF mass spectrometry. Lung 2010; 188: 15-23.
25. Kim SM, Park JS, Norwitz ER, Lee SM, Kim BJ, Park CW, Jun JK, Kim CW and Syn HC. Identification of proteomic biomarkers in maternal plasma in the early second trimester that predict thesubsequent development of gestational diabetes. Reprod Sci 2012; 19: 202-209.
26. Chen J, Anderson M, Misek DE, Simeone DM and Lubman DM. Characterization of apolipoprotein and apolipoprotein precursors in pancreatic cancer serum samples via two-dimensional liquid chromatography and mass spectrometry. J Chromatogr A 2007; 1162: 117-125.
27. Fan Y, Shi L, Liu Q, Dong R, Zhang Q, Yang S, Fan Y, Yang H, Wu P, Yu J, Zheng S, Yang F and Wang J. Discovery and identification of potential biomarkers of papillary thyroid carcinoma. Mol Cancer 2009; 8: 79.
28. McComb ME, Perlman DH, Huang H and Costello CE. Evaluation of an ontarget sample preparation system for matrix-assisted laser desorption/ionization time-of-flight mass spectrometry in conjunction with normal-flow peptide highperformance liquid chromatography for peptide mass fingerprint analyses. Rapid Commun Mass Spectrom 2006; 21: 44-58.
29. Liu J, Li Y, Wei L, Yang X, Xie Z, Jiang T, Wang C, Zhang X, Xu D, Chen Z, Yang F and Li JC. Screening and identification of potential biomarkers and establishment of the diagnostic serum proteomic model for the Traditional Chinese Medicine Syndromes of tuberculosis. J Ethnopharmacol 2014; 155: 1322-1331.