Serum metabolomics for the diagnosis and classification of myasthenia gravis

Metabolomics

Volumn 8, Issue 4, 2012, Pages 704-713

  Lu, Yonghai ^a   Wang, Chunmei ^a   Chen, Zhixi ^b   Zhao, Hui ^b   Chen, Jinyan ^b   Liu, Xiaobin ^b   Kwan, Yiuwa ^a   Lin, Huangquan ^a   Ngai, Saiming ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b GUANGZHOU UNIVERSITY OF CHINESE MEDICINE   (China)

Author keywords

Diagnosis; LC FTMS; Metabolomics; Multivariate statistical analyses; Myasthenia gravis (MG); Serum

Indexed keywords

4 AMINOBUTYRIC ACID; SPHINGOSINE 1 PHOSPHATE;

ADULT; ARTICLE; BLOOD ANALYSIS; BLOOD SAMPLING; CLINICAL ARTICLE; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; DISEASE CLASSIFICATION; DISEASE MARKER; FEMALE; FOURIER TRANSFORM MASS SPECTROMETRY; HUMAN; HUMAN CELL; LIQUID CHROMATOGRAPHY; MALE; MASS SPECTROMETER; METABOLOMICS; MULTIVARIATE ANALYSIS; MYASTHENIA GRAVIS; PARTIAL LEAST SQUARES REGRESSION; PATIENT IDENTIFICATION; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

EID: 84864061440     PISSN: 15733882     EISSN: 15733890     Source Type: Journal    
DOI: 10.1007/s11306-011-0364-6     Document Type: Article

References (37)

1. Alshekhlee, A., Miles, J. D., Katirji, B., Preston, D. C., & Kaminski, H. J. (2009). Incidence and mortality rates of myasthenia gravis and myasthenic crisis in US hospitals. Neurology, 72(18), 1548-1554.
2. Baets, M. H., & Oosterhuis, H. J. G. H. (1993). Myasthenia gravis. Boca Raton, FL: DRD Press.
3. 1H-NMR-based metabonomics. Nature Medicine, 8(12), 1439-1444.
4. Cheng, C., Wu, G., Yeung, S. C., Li, R., Bella, A. E., Pang, J., et al. (2009). Serum protein profiles in myasthenia gravis. The Annals of Thoracic Surgery, 88(4), 1118-1123.
5. de Kraker, M., Kluin, J., Renken, N., Maat, A. P., & Bogers, A. J. (2005). CT and myasthenia gravis: Correlation between mediastinal imaging and histopathological findings. Interactive Cardiovascular and Thoracic Surgery, 4(3), 267-271.
6. Denery, J. R., Nunes, A. A. K., Hixon, M. S., Dickerson, T. J., & Janda, K. D. (2010). Metabolomics-based discovery of diagnostic biomarkers for onchocerciasis. PLoS Neglected Tropical Diseases, 4(10), e834.
7. Eng, J. (2007). ROC analysis: web-based calculator for ROC curves. Retrieved June 18, 2011 from http://www. jrocfit. org.
8. Gajdos, P., Chevret, S., & Toyka, K. (2008). Intravenous immunoglobulin for myasthenia gravis. Cochrane Database of Systematic Reviews, Issue 1, Art. No. CD002277. doi: 10. 1002/14651858. CD002277. pub3.
9. Gika, H. G., Theodoridis, G. A., Wingate, J. E., & Wilson, I. D. (2007). Within-day reproducibility of an HPLC-MS-based method for metabonomic analysis: Application to human urine. Journal of Proteome Research, 6(8), 3291-3303.
10. Godoy, M. M. G., Lopes, E. P. A., Silva, R. O., Hallwass, F., Koury, L. C. A., Moura, I. M., et al. (2010). Hepatitis C virus infection diagnosis using metabonomics. Journal of Viral Hepatitis, 17(12), 854-858.
11. Gu, H., Pan, Z., Xi, B., Asiago, V., Musselman, B., & Raftery, D. (2011). Principal component directed partial least squares analysis for combining nuclear magnetic resonance and mass spectrometry data in metabolomics: Application to the detection of breast cancer. Analytica Chimica Acta, 686(1-2), 57-63.
12. Guy, P. A., Tavazzi, I., Bruce, S. J., Ramadan, Z., & Kochhar, S. (2008). Global metabolic profiling analysis on human urine by UPLC-TOFMS: Issues and method validation in nutritional metabolomics. Journal of Chromatography B Analytical Technologies in the Biomedical and Life Sciences, 871(12), 253-260.
13. Henneges, C., Bullinger, D., Fux, R., Friese, N., Seeger, H., Neubauer, H., et al. (2009). Prediction of breast cancer by profiling of urinary RNA metabolites using Support Vector Machine-based feature selection. BMC Cancer, 9, 104.
14. Juo, C. G., Chiu, D. T., & Shiao, M. S. (2008). Liquid chromatography-mass spectrometry in metabolite profiling. Biofactors, 34(2), 159-169.
15. Kim, K., Aronov, P., Zakharkin, S. O., Anderson, D., Perroud, B., Thompson, I. M., et al. (2009). Urine Metabolomics Analysis for Kidney cancer detection and biomarker discovery. Molecular and Cellular Proteomics, 8(3), 558-570.
16. Kirschenlohr, H. L., Griffin, J. L., Clarke, S. C., Rhydwen, R., Grace, A. A., Schofield, P. M., et al. (2006). Proton NMR analysis of plasma is a weak predictor of coronary artery disease. Nature Medicine, 12(6), 705-710.
17. Li, X., Yang, S., Qiu, Y., Zhao, T., Chen, T., Su, M., et al. (2010). Urinary metabolomics as a potentially novel diagnostic and stratification tool for knee osteoarthritis. Metabolomics, 6(1), 109-118.
18. Llorach, R., Garrido, I., Monagas, M., Urpi-Sarda, M., Tulipani, S., Bartolome, B., et al. (2010). Metabolomics study of human urinary metabolome modifications after intake of almond (Prunus dulcis (Mill.) D. A. Webb) skin polyphenols. Journal of Proteome Research, 9(11), 5859-5867.
19. Lv, Y., Liu, X., Yan, S., Liang, X., Yang, Y., Dai, W., et al. (2010). Metabolomic study of myocardial ischemia and intervention effects of Compound Danshen Tablets in rats using ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis, 52(1), 129-135.
20. Nicholson, J. K., & Lindon, J. C. (2008). Systems biology: Metabonomics. Nature, 455(7216), 1054-1056.
21. Nicholson, J. K., Lindon, J. C., & Holmes, E. (1999). 'Metabonomics': Understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica, 29(11), 1181-1189.
22. Osserman, K. E., & Genkins, G. (1971). Studies in myasthenia gravis: Review of a twenty-year experience in over 1200 patients. Mount Sinai Journal of Medicine, 38(6), 497-537.
23. Pasikanti, K. K., Esuvaranathan, K., Ho, P. C., Mahendran, R., Kamaraj, R., Wu, Q. H., et al. (2010). Noninvasive urinary metabonomic diagnosis of human bladder cancer. Journal of Proteome Research, 9(6), 2988-2995.
24. Sangster, T., Major, H., Plumb, R., Wilson, A. J., & Wilson, I. D. (2006). A pragmatic and readily implemented quality control strategy for HPLC-MS and GC-MS-based metabonomic analysis. Analyst, 131(10), 1075-1078.
25. Scherer, K., Bedlack, R. S., & Simel, D. L. (2005). Does this patient have myasthenia gravis? Journal of the American Medical Association, 293(15), 1906-1914.
26. Seybold, M. E. (1986). The office Tensilon test for ocular myasthenia gravis. Archives of Neurology, 43(8), 842-843.
27. Slupsky, C. M. (2010). NMR-based analysis of metabolites in urine provides rapid diagnosis and etiology of pneumonia. Biomarkers in medicine, 4(2), 195-197.
28. Slupsky, C. M., Rankin, K. N., Fu, H., Chang, D., Rowe, B. H., Charles, P. G. P., et al. (2009). Pneumococcal pneumonia: Potential for diagnosis through a urinary metabolic profile. Journal of Proteome Research, 8(12), 5550-5558.
29. Slupsky, C. M., Steed, H., Wells, T. H., Dabbs, K., Schepansky, A., Capstick, V., et al. (2010). Urine metabolite analysis offers potential early diagnosis of ovarian and breast cancers. Clinical Cancer Research, 16(23), 5835-5841.
30. Spiegel, S., & Milstien, S. (2011). The outs and the ins of sphingosine-1-phosphate in immunity. Nature Reviews Immunology, 11(6), 403-415.
31. Tan, C., Chen, H., & Xia, C. (2009). Early prediction of lung cancer based on the combination of trace element analysis in urine and an Adaboost algorithm. Journal of Pharmaceutical and Biomedical Analysis, 49(3), 746-752.
32. 1H NMR-based metabolomics. Neoplasia, 11(3), 269-276.
33. Vincent, A., Palace, J., & Hilton-Jones, D. (2001). Myasthenia gravis. The Lancet, 357(9274), 2122-2128.
34. Watanabe, M., Maemura, K., Kanbara, K., Tamayama, T., & Hayasaki, H. (2002). GABA and GABA receptors in the central nervous system and other organs. International Review of Cytology, 213, 1-47.
35. Wen, H., Yoo, S. S., Kang, J., Kim, H. G., Park, J. S., Jeong, S., et al. (2010). A new NMR-based metabolomics approach for the diagnosis of biliary tract cancer. Journal of Hepatology, 52(2), 228-233.
36. Xie, G. X., Chen, T. L., Qiu, Y. P., Shi, P., Zheng, X. J, Su, M. M., et al. (2011). Urine metabolite profiling offers potential early diagnosis of oral cancer. Metabolomics. doi: 10. 1007/s11306-011-0302-7.
37. Yang, J., Xu, G., Hong, Q., Liebich, H., Lutz, K., Schmulling, R., et al. (2004). Discrimination of Type 2 diabetic patients from healthy controls by using metabonomics method based on their serum fatty acid profiles. Journal of Chromatography B Analytical Technologies in the Biomedical and Life Sciences, 813(1-2), 53-58.