Metabolic alterations of impaired fasting glucose by GC/MS based plasma metabolic profiling combined with chemometrics

Metabolomics

Volumn 6, Issue 2, 2010, Pages 303-311

  Zeng, Maomao ^a   Xiao, Yang ^a   Liang, Yizeng ^a   Wang, Bing ^a   Chen, Xian ^a   Cao, Dongsheng ^a   Li, Hongdong ^a   Wang, Mei ^a   Zhou, Zhiguang ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Chemometrics; GC MS; Impaired fasting glucose; Metabolic profiling; Metabolomics

Indexed keywords

EID: 79959186873     PISSN: 15733882     EISSN: 15733890     Source Type: Journal    
DOI: 10.1007/s11306-009-0193-z     Document Type: Article

References (33)

1. Alberti, K. G., & Zimmet, P. Z. (1998). Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus. Provisional report of a WHO Consultation. Diabetic Medicine, 15, 539-553.
2. Barker, M., & Rayens, W. (2003). Partial least squares for discrimination. Journal of Chemometrics, 17, 166-173.
3. Bock, G., Chittilapilly, E., Basu, R., Toffolo, G., Cobelli, C., Chandramouli, V., et al. (2007). Contribution of hepatic and extrahepatic insulin resistance to the pathogenesis of impaired fasting glucose. Diabetes, 56, 1703-1711.
4. Breiman, L. (2001). Random forest. Machine Learning, 45, 5-32.
5. Bruce, S. J., Jonsson, P., Antti, H., Cloarec, O., Trygg, J., Marklund, S. L., et al. (2008). Evaluation of a protocol for metabolic profiling studies on human blood plasma by combined ultraperformance liquid chromatography/mass spectrometry: From extraction to data analysis. Analytical Biochemistry, 72, 237-249.
6. Chan, E. C. Y., Koh, P. K., Mal, M., Cheah, P. Y., Eu, K. W., Backshall, A., et al. (2009). Metabolic profiling of human colorectal cancer using high-resolution magic spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy and gas chromatography mass spectrometry (GC/MS). Journal of Proteome Research, 8, 352-361.
7. De Jong, S. (1993). SIMPLS: An alternative approach to partial least squares regression. Chemometrics and Intelligent Laboratory Systems, 18, 251-263.
8. Dumas, M. E., Barton, R. H., Toye, A., Cloarec, O., Blancher, C., Rothwell, A., et al. (2006). Metabolic profiling reveals a contribution gut microbiota to fatty liver phenotype in insulinresistance mice. Proceedings of the National Academy of Sciences USA, 103, 12511-12516.
9. Genuth, S. (2003). Lowering the criterion for impaired fasting glucose is in order. Diabetes Care, 26, 3331-3332.
10. Gong, F., Liang, Y. Z., Cui, H., Chau, F. T., & Chan, B. T. (2001). Determination of volatile components in peptic power by gas chromatograpy-mass spectrometry and chemometric resolution. Journal of Chromatography. A, 909, 237-247.
11. Harris, M. I., Flegal, K. M., Cowie, C. C., Eberhardt, M. S., Goldstein, D. E., Little, R. R., et al. (1998). Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in U.S. adults. The Third National Health and Nutrition Examination Survey. Diabetes Care, 21, 518-524.
12. King, H., Aubert, R. E., & Herman, W. H. (1998). Global burden of diabetes, 1995-2005: Prevalence, numerical estimates, and projections. Diabetes Care, 21, 1414-1431.
13. Kvalheim, O. M., & Liang, Y. Z. (1992). Heuristic evolving latent projections: Resolving two-way multicomponent data. 1, selectivity, latent-projective graph, datascope, local rank, and unique resolution. Analytical Chemistry, 64, 936-946.
14. Liang, Y. Z., Kvalheim, O. M., Keller, H. R., Massart, D. L., Kiechle, P., & Erni, F. (1992). Heuristic evolving latent projections: Resolving two-way multicomponent data. 2, detection and resolution of minor constituents. Analytical Chemistry, 64, 946-953.
15. Mal, M., Koh, P. K., Cheah, P. Y., & Chan, E. C. Y. (2009). Development and validation of a gas chromatography/mass spectrometry method for the metabolic profiling of human colon tissue. Rapid Communications in Mass Spectrometry, 23, 487-494.
16. McGarry, J. D. (2002). Banting lecture 2001: Dysregulation of fatty acid metabolism in the etiology of type 2 diabetes mellitus. Diabetes, 51, 7-18.
17. Meyer, C., Stumvoll, M., Nadkarni, V., Dostou, J., Mitrakou, A., & Gerich, J. (1998). Abnormal renal and hepatic glucose metabolism in type 2 diabetes mellitus. Journal of Clinical Investigation, 102, 619-624.
18. Nathan, D. M., Davidson, M. B., DeFronzo, R. A., Heine, R. J., Henry, R. R., Pratley, R., et al. (2007). Impaired fasting glucose and impaired glucose tolerance. Diabetes Care, 30, 753-759.
19. Pasikanti, K. K., Ho, P. C., & Chan, E. C. Y. (2008). Gas chromatography/mass spectrometry in metabolic profiling of biological fluids. Journal of Chromatography B, 871, 202-211.
20. Pongsuwan, W., Fukusaki, E., Bamba, T., Yonetani, T., Yamahara, T., & Kobayashi, A. (2007). Prediction of Japanese green tea ranking by gas chromatography/mass spectrometry-based hydrophilic metabolite fingerprinting. Journal of Agriculture and Food Chemistry, 55, 231-236.
21. Rao, C. R. (1958). Some statistical methods for comparison of growth curves. Biometrics, 14, 1-17.
22. Rudell, D. R., Mattheis, J. P., & Curry, E. A. (2008). Prestorage ultraviolet-white light irradiation alters apple peel metabolome. Journal of Agriculture and Food Chemistry, 56, 1138-1147.
23. Shepherd, T., Dobson, G., Verrall, S. R., Conner, S., Griffiths, D. W., McNicol, J. W., et al. (2007). Potato metabolomics by GC-MS: What are the limiting factors. Metabolomics, 3, 475-488.
24. Snehalatha, C., Ramachandran, A., Sivasankari, S., Satyavani, K., & Vijay, V. (2003). Insulin secretion and action show differences in impaired fasting glucose and in impaired glucose tolerance in Asian Indians. Diabetes/Metabolism Research and Reviews, 19, 329-332.
25. Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society B, 36, 111-147.
26. Wade, J. B., Dougherty, L. M., Hart, R. P., Rafii, A., & Price, D. D. (1992). A canonical correlation analysis of the influence of neuroticism and extroversion on chronic pain, suffering, and pain behavior. Pain, 51, 67-73.
27. Wang, C., Kong, H. W., Guan, Y. F., Yang, J., Gu, J. R., Yang, S. L., et al. (2005). Plasma phospholipid metabolic profiling and biomarkers of type 2 diabetes mellitus based on high-performance liquid chromatography/electrospray mass spectrometry and multivariate statistical analysis. Analytical Chemistry, 7, 4108-4116.
28. Webb, G. C., Akbar, M. S., Zhao, C. J., & Steiner, D. F. (2000). Expression profiling of pancreatic b-cells: glucose regulation of secretory and metabolic pathway genes. Proceedings of the National Academy of Sciences USA, 97, 5773-5778.
29. Winder, C. L., Dunn, W. B., Schuler, S., Broadhurst, D., Jarvis, R., Stephens, G. M., et al. (2008). Global metabolic profiling of Escherichia coli cultures: An evaluation of methods for quenching and extraction of intracellular metabolites. Analytical Chemistry, 80, 2939-2948.
30. Wold, S., Esbensen, K., & Geladi, P. (1987). Principal component analysis. Chemometrics and Intelligent Laboratory Systems, 2, 37-52.
31. Wold, S., Sjostrom, M., & Eriksson, L. (2001). PLS-regression: A basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems, 58, 109-130.
32. Xu, Q. S., & Liang, Y. Z. (2001). Monte Carlo cross validation. Chemometrics and Intelligent Laboratory Systems, 56, 1-11.
33. Zeng, M. M., Che, Z. H., Liang, Y. Z., Wang, B., Chen, X., Li, H. D., et al. (2009). GC-MS based plasma metabolic profiling of type 2 diabetes mellitus. Chromatographia, 69, 941-948.