Application of metabolomics in traditional chinese medicine differentiation of deficiency and excess syndromes in patients with diabetes mellitus

Evidence-based Complementary and Alternative Medicine

Volumn 2012, Issue , 2012, Pages

  Wu, Tao ^a   Yang, Ming ^a   Wei, Hua Feng ^a   He, Song Hua ^a   Wang, Shun Chun ^a   Ji, Guang ^a  

^a SHANGHAI UNIVERSITY OF TRADITIONAL CHINESE MEDICINE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARABINOSE; CARBOHYDRATE; GLUCOSE; INOSITOL; INOSITOL DERIVATIVE; MANNOSE; XYLOSE;

AGED; ARTICLE; CARBOHYDRATE DEFICIENCY SYNDROME; CARBOHYDRATE EXCESS SYNDROME; CHINESE MEDICINE; DIABETES MELLITUS; DIABETIC PATIENT; DISEASE MARKER; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MASS FRAGMENTOGRAPHY; METABOLIC DISORDER; METABOLOMICS; PRIORITY JOURNAL; URINALYSIS; URINE LEVEL;

EID: 84863672010     PISSN: 1741427X     EISSN: 17414288     Source Type: Journal    
DOI: 10.1155/2012/968083     Document Type: Article

References (67)

1. Wild S., Roglic G., Green A., Sicree R., King H., Global prevalence of diabetes: estimates for the year 2000 and projections for 2030 Diabetes Care 2004 27 5 1047 1053 (Pubitemid 38579764)
2. Yi L., He J., Liang Y., Yuan D., Gao H., Zhou H., Simultaneously quantitative measurement of comprehensive profiles of esterified and non-esterified fatty acid in plasma of type 2 diabetic patients Chemistry and Physics of Lipids 2007 150 2 204 216 (Pubitemid 47539367)
3. Castell C., Epidemiology and classification for diabetes mellitus Revista de Enfermera 2010 33 2 9 15
4. Ning G., Hong J., Bi Y., Gu W., Zhang Y., Zhang Z., Huang Y., Wang W., Li X., Progress in diabetes research in China Journal of Diabetes 2009 1 3 163 172
5. Wang L. M., Zhao X., Wu X. L., Diagnosis analysis of 4 TCM patterns in sub-optimal health status: a structural equation modeling approach Evidence-Based Complementary and Alternative Medicine 2012 2012 6
6. Nicholson J. K., Connelly J., Lindon J. C., Holmes E., Metabonomics: a platform for studying drug toxicity and gene function Nature Reviews Drug Discovery 2002 1 2 153 161 (Pubitemid 41646523)
7. Malandrino N., Smith R. J., Personalized medicine in diabetes Clinical Chemistry 2011 57 2 231 240
8. Griffin J. L., Vidal-Puig A., Current challenges in metabolomics for diabetes research: a vital functional genomic tool or just a ploy for gaining funding? Physiological Genomics 2008 34 1 1 5
9. van Doorn M., Vogels J., Tas A., van Hoogdalem E. J., Burggraaf J., Cohen A., van der Greef J., Evaluation of metabolite profiles as biomarkers for the pharmacological effects of thiazolidinediones in type 2 diabetes mellitus patients and healthy volunteers British Journal of Clinical Pharmacology 2007 63 5 562 574 (Pubitemid 46632578)
10. Shaham O., Wei R., Wang T. J., Ricciardi C., Lewis G. D., Vasan R. S., Carr S. A., Thadhani R., Gerszten R. E., Mootha V. K., Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity Molecular Systems Biology 2008 4, article 214
11. Wopereis S., Rubingh C. M., van Erk M. J., Verheij E. R., van Vliet T., Cnubben N. H., Smilde A. K., van der Greef J., van Ommen B., Hendriks H. F., Metabolic profiling of the response to an oral glucose tolerance test detects subtle metabolic changes PLoS ONE 2009 4 2
12. Zhao X., Peter A., Fritsche J., Elcnerova M., Fritsche A., Hring H. U., Schleicher E. D., Xu G., Lehmann R., Changes of the plasma metabolome during an oral glucose tolerance test: is there more than glucose to look at? American Journal of Physiology-Endocrinology and Metabolism 2009 296 2 E384 E393
13. Chen J., Zhao X., Fritsche J., Yin P., Schmitt-Kopplin P., Wang W., Lu X., Hring H. U., Schleicher E. D., Lehmann R., Xu G., Practical approach for the identification and isomer elucidation of biomarkers detected in a metabonomic study for the discovery of individuals at risk for diabetes by integrating the chromatographic and mass spectrometric information Analytical Chemistry 2008 80 4 1280 1289 (Pubitemid 351272366)
14. Plumb R. S., Johnson K. A., Rainville P., Shockcor J. P., Williams R., Granger J. H., Wilson I. D., The detection of phenotypic differences in the metabolic plasma profile of three strains of Zucker rats at 20 weeks of age using ultra-performance liquid chromatography/orthogonal acceleration time-of-flight mass spectrometry Rapid Communications in Mass Spectrometry 2006 20 19 2800 2806 (Pubitemid 44526615)
15. Shearer J., Duggan G., Weljie A., Hittel D. S., Wasserman D. H., Vogel H. J., Metabolomic profiling of dietary-induced insulin resistance in the high fat-fed C57BL/6J mouse Diabetes, Obesity and Metabolism 2008 10 10 950 958
16. Toye A. A., Dumas M. E., Blancher C., Rothwell A. R., Fearnside J. F., Wilder S. P., Bihoreau M. T., Cloarec O., Azzouzi I., Young S., Barton R. H., Holmes E., McCarthy M. I., Tatoud R., Nicholson J. K., Scott J., Gauguier D., Subtle metabolic and liver gene transcriptional changes underlie diet-induced fatty liver susceptibility in insulin-resistant mice Diabetologia 2007 50 9 1867 1879 (Pubitemid 47222857)
17. Williams R. E., Lenz E. M., Rantalainen M., Wilson I. D., The comparative metabonomics of age-related changes in the urinary composition of male Wistar-derived and Zucker (fa/fa) obese rats Molecular BioSystems 2006 2 3-4 193 202 (Pubitemid 43373978)
18. Williams R., Lenz E. M., Wilson A. J., Granger J., Wilson I. D., Major H., Stumpf C., Plumb R., A multi-analytical platform approach to the metabonomic analysis of plasma from normal and Zucker (fa/fa) obese rats Molecular BioSystems 2006 2 3-4 174 183 (Pubitemid 43373976)
19. Mkinen V. P., Soininen P., Forsblom C., Parkkonen M., Ingman P., Kaski K., Groop P. H., Ala-Korpela M., 1H NMR metabonomics approach to the disease continuum of diabetic complications and premature death Molecular Systems Biology 2008 4, article no. 167
20. Zhang S., Nagana Gowda G. A., Asiago V., Shanaiah N., Barbas C., Raftery D., Correlative and quantitative 1H NMR-based metabolomics reveals specific metabolic pathway disturbances in diabetic rats Analytical Biochemistry 2008 383 1 76 84
21. Gipson G. T., Tatsuoka K. S., Ball R. J., Sokhansanj B. A., Hansen M. K., Ryan T. E., Hodson M. P., Sweatman B. C., Connor S. C., Multi-platform investigation of the metabolome in a leptin receptor defective murine model of type 2 diabetes Molecular BioSystems 2008 4 10 1015 1023
22. Huo T., Cai S., Lu X., Sha Y., Yu M., Li F., Metabonomic study of biochemical changes in the serum of type 2 diabetes mellitus patients after the treatment of metformin hydrochloride Journal of Pharmaceutical and Biomedical Analysis 2009 49 4 976 982
23. Salek R. M., Maguire M. L., Bentley E., Rubtsov D. V., Hough T., Cheeseman M., Nunez D., Sweatman B. C., Haselden J. N., Cox R. D., Connor S. C., Griffin J. L., A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human Physiological Genomics 2007 29 2 99 108 (Pubitemid 46701991)
24. van Doorn M., Vogels J., Tas A., Van Hoogdalem E. J., Burggraaf J., Cohen A., van der Greef J., Evaluation of metabolite profiles as biomarkers for the pharmacological effects of thiazolidinediones in type 2 diabetes mellitus patients and healthy volunteers British Journal of Clinical Pharmacology 2007 63 5 562 574 (Pubitemid 46632578)
25. Zhang X., Wang Y., Hao F., Zhou X., Han X., Tang H., Ji L., Human serum metabonomic analysis reveals progression axes for glucose intolerance and insulin resistance statuses Journal of Proteome Research 2009 8 11 5188 5195
26. Bao Y., Zhao T., Wang X., Qiu Y., Su M., Jia W., Jia W., Metabonomic variations in the drug-treated type 2 diabetes mellitus patients and healthy volunteers Journal of Proteome Research 2009 8 4 1623 1630
27. Li H., Ni Y., Su M., Qiu Y., Zhou M., Qiu M., Zhao A., Zhao L., Jia W., Pharmacometabonomic phenotyping reveals different responses to xenobiotic intervention in rats Journal of Proteome Research 2007 6 4 1364 1370 (Pubitemid 46724033)
28. Bain J. R., Stevens R. D., Wenner B. R., Ilkayeva O., Muoio D. M., Newgard C. B., Metabolomics applied to diabetes research: moving from information to knowledge Diabetes 2009 58 11 2429 2443
29. Wang C., Kong H., Guan Y., Yang J., Gu J., Yang S., Xu G., 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 2005 77 13 4108 4116 (Pubitemid 40934277)
30. Yi L. Z., He J., Liang Y. Z., Yuan D. L., Chau F. T., Plasma fatty acid metabolic profiling and biomarkers of type 2 diabetes mellitus based on GC/MS and PLS-LDA FEBS Letters 2006 580 30 6837 6845 (Pubitemid 44909124)
31. Williams R., Lenz E. M., Wilson A. J., Granger J., Wilson I. D., Major H., Stumpf C., Plumb R., A multi-analytical platform approach to the metabonomic analysis of plasma from normal and Zucker (fa/fa) obese rats Molecular BioSystems 2006 2 3-4 174 183 (Pubitemid 43373976)
32. Goodacre R., Broadhurst D., Smilde A. K., Kristal B. S., Baker J. D., Beger R., Bessant C., Connor S., Capuani G., Craig A., Ebbels T., Kell D. B., Manetti C., Newton J., Paternostro G., Somorjai R., Sjstrm M., Trygg J., Wulfert F., Proposed minimum reporting standards for data analysis in metabolomics Metabolomics 2007 3 3 231 241 (Pubitemid 47470692)
33. Lin X., Wang Q., Yin P., Tang L., Tan Y., Li H., Yan K., Xu G., A method for handling metabonomics data from liquid chromatography/mass spectrometry: combinational use of support vector machine recursive feature elimination, genetic algorithm and random forest for feature selection Metabolomics 2011 7 549 558
34. Rantalainen M., Bylesj M., Cloarec O., Nicholson J. K., Holmes E., Trygg J., Kernel-based orthogonal projections to latent structures (K-OPLS) Journal of Chemometrics 2007 21 79 376 385
35. Bylesj M., Rantalainen M., Nicholson J. K., Holmes E., Trygg J., K-OPLS package: kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space BMC Bioinformatics 2008 9, article 106
36. Cao D. S., Liang Y. Z., Xu Q. S., Li H. D., Chen X., A new strategy of outlier detection for QSAR/QSPR Journal of Computational Chemistry 2010 31 3 592 602
37. Li H. D., Liang Y. Z., Xu Q. S., Cao D. S., Model population analysis for variable selection Journal of Chemometrics 2010 24 7-8 418 423
38. Li X., Xu Z., Lu X., Yang X., Yin P., Kong H., Yu Y., Xu G., Comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry for metabonomics: biomarker discovery for diabetes mellitus Analytica Chimica Acta 2009 633 2 257 262
39. World Health Organisation, Definition, diagnosis, and classification of diabetes mellitus and its complications Report of a WHO Consultation. Part 1: Diagnosis and Classification of Diabetes Mellitus 1999 Geneva, Switzerland World Health Organisation
40. Zheng Y. Y., Guiding Principle of Clinical Research on New Drugs of Traditional Chinese Medicine 2002 Beijing, China Chinese Medicine Science and Technology
41. Choo V., WHO reassesses appropriate body-mass index for Asian populations The Lancet 2002 360 9328, article 235
42. Yang M., Chen J. L., Shi X. F., Niu H. J., Rapid determination of aesculin, aesculetin and fraxetin in cortex fraxini extract solutions based on ultraviolet spectroscopy E-Journal of Chemistry 2011 8 supplement 1 S225 S236
43. Filzmoser P., Liebmann B., Varmuza K., Repeated double cross validation Journal of Chemometrics 2009 23 4 160 171
44. Li H. D., Zeng M. M., Tan B. B., Liang Y. Z., Xu Q. S., Cao D. S., Recipe for revealing informative metabolites based on model population analysis Metabolomics 2010 6 3 353 361
45. Xie J. H., Xie M. Y., Nie S. P., Shen M. Y., Wang Y. X., Li C., Isolation, chemical composition and antioxidant activities of a water-soluble polysaccharide from Cyclocarya paliurus (Batal.) Iljinskaja Food Chemistry 2010 119 4 1626 1632
46. Yuan K., Kong H., Guan Y., Yang J., Xu G., A GC-based metabonomics investigation of type 2 diabetes by organic acids metabolic profile Journal of Chromatography B 2007 850 1-2 236 240 (Pubitemid 46618171)
47. Ni Y., Wang Y., Kokot S., Multicomponent kinetic spectrophotometric determination of pefloxacin and norfloxacin in pharmaceutical preparations and human plasma samples with the aid of chemometrics Spectrochimica Acta A 2008 70 5 1049 1059
48. Girard J., Contribution of free fatty acids to impairment of insulin secretion and action. Mechanism of -cell lipotoxicity Medecine/Sciences 2005 21 19 25 (Pubitemid 43041945)
49. Zhao H. H., Chen J. X., Hou N., Discovery of diagnosis pattern of coronary heart disease with Qi Deficiency syndrome by the T-test-based adaboost algorithm Evidence-Based Complementary and Alternative Medicine 2011 2011 7
50. Sung J. J. Y., Leung W. K., Ching J. Y. L., Lao L., Zhang G., Wu J. C. Y., Liang S. M., Xie H., Ho Y. P., Chan L. S., Berman B., Chan F. K. L., Agreements among traditional Chinese medicine practitioners in the diagnosis and treatment of irritable bowel syndrome Alimentary Pharmacology and Therapeutics 2004 20 10 1205 1210 (Pubitemid 39657955)
51. Zhang G. G., Bausell B., Lao L., Lee W. L., Handwerger B., Berman B., The variability of TCM pattern diagnosis and herbal prescription on rheumatoid arthritis patients Alternative Therapies in Health and Medicine 2004 10 1 58 63 (Pubitemid 38031561)
52. Li S., Zhang Z. Q., Wu L. J., Zhang X. G., Li Y. D., Wang Y. Y., Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network IET Systems Biology 2007 1 1 51 60 (Pubitemid 46779218)
53. Kang G. L., Li S., Zhang J. F., Entropy-based model for interpreting life systems in traditional Chinese medicine Evidence-based Complementary and Alternative Medicine 2008 5 3 273 279
54. Chiu P. H., Hsieh H. Y., Wang S. C., Prescriptions of traditional chinese medicine are specific to cancer types and adjustable to temperature changes PLoS One 2012 7 2
55. Trygg J., Wold S., Orthogonal projections to latent structures (O-PLS) Journal of Chemometrics 2002 16 3 119 128
56. Xie W., Du L., Diabetes is an inflammatory disease: evidence from traditional Chinese medicines Diabetes, Obesity and Metabolism 2011 13 4 289 301
57. Coen M., Holmes E., Lindon J. C., Nicholson J. K., NMR-based metabolic profiling and metabonomic approaches to problems in molecular toxicology Chemical Research in Toxicology 2008 21 1 9 27 (Pubitemid 351219705)
58. Lindon J. C., Holmes E., Bollard M. E., Stanley E. G., Nicholson J. K., Metabonomics technologies and their applications in physiological monitoring, drug safety assessment and disease diagnosis Biomarkers 2004 9 1 1 31 (Pubitemid 38660013)
59. Nicholson J. K., Lindon J. C., Systems biology: metabonomics Nature 2008 455 7216 1054 1056
60. Schmid H., Henger A., Kretzler M., Molecular approaches to chronic kidney disease Current Opinion in Nephrology and Hypertension 2006 15 2 123 129
61. Qiu Y., Chen M., Su M., Xie G., Li X., Zhou M., Zhao A., Jiang J., Jia W., Metabolic profiling reveals therapeutic effects of Herba Cistanches in an animal model of hydrocortisone-induced kidney-deficiency syndrome Chinese Medicine 2008 3, article 3
62. Chen M., Zhao L., Jia W., Metabonomic study on the biochemical profiles of a hydrocortisone-induced animal model Journal of Proteome Research 2005 4 6 2391 2396 (Pubitemid 41814313)
63. Deberardinis R. J., Sayed N., Ditsworth D., Thompson C. B., Brick by brick: metabolism and tumor cell growth Current Opinion in Genetics and Development 2008 18 1 54 61 (Pubitemid 351694453)
64. Tong X., Zhao F., Thompson C. B., The molecular determinants of de novo nucleotide biosynthesis in cancer cells Current Opinion in Genetics and Development 2009 19 1 32 37
65. Hervouet E., Simonnet H., Godinot C., Mitochondria and reactive oxygen species in renal cancer Biochimie 2007 89 9 1080 1088 (Pubitemid 47248004)
66. Zhao L. D., Wo X. D., Li Y., Effects of warming and tonifying kidney, yang drugs on liver mitochondria proteome of rats with kidney yang deficiency Chinese Journal of TCM and Pharmacy 2007 22 2 102 107
67. Goodacre R., Metabolic profiling: pathways in discovery Drug Discovery Today 2004 9 6 260 261 (Pubitemid 38328511)