Metabolomics as a tool for diagnosis and monitoring in coeliac disease

Metabolomics

Volumn 11, Issue 4, 2015, Pages 980-990

  Ryan, Danielle ^a   Newnham, Evan D ^b   Prenzler, Paul D ^a   Gibson, Peter R ^b  

^a CHARLES STURT UNIVERSITY   (Australia)

^b MONASH UNIVERSITY   (Australia)

Author keywords

Coeliac disease; Diagnosis; Metabolomics; Monitoring

Indexed keywords

3 HYDROXYBUTYRIC ACID; ALANINE; ASCORBIC ACID; ASPARTIC ACID; BIOLOGICAL MARKER; CHOLINE; CREATININE; ENDOMYSIUM ANTIBODY; GLUCOSE; GLUTAMIC ACID; GLUTAMINE; GLUTATHIONE; GLYCEROPHOSPHORYLCHOLINE; GLYCINE; INDICAN; LACTIC ACID; LEUCINE; LONG CHAIN FATTY ACID; PHENYLALANINE; PHOSPHORYLCHOLINE; PROLINE; PYRUVIC ACID; RNA 16S; SHORT CHAIN FATTY ACID; TAURINE; THREONINE; TRIACYLGLYCEROL; TYROSINE; URIDINE; VALINE;

CELIAC DISEASE; COLORECTAL CANCER; DENATURING GRADIENT GEL ELECTROPHORESIS; DIAGNOSTIC ACCURACY; FECES ANALYSIS; GAS CHROMATOGRAPHY; HISTOPATHOLOGY; HUMAN; INFLAMMATORY BOWEL DISEASE; INTESTINE FLORA; LYMPHOCYTE; MASS SPECTROMETRY; METABOLOMICS; NON INVASIVE PROCEDURE; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PROTON NUCLEAR MAGNETIC RESONANCE; RANDOMIZED CONTROLLED TRIAL (TOPIC); REVIEW; SOLID PHASE MICROEXTRACTION; TANDEM MASS SPECTROMETRY; URINALYSIS;

EID: 84931572019     PISSN: 15733882     EISSN: 15733890     Source Type: Journal    
DOI: 10.1007/s11306-014-0752-9     Document Type: Review

References (58)

1. Anderson, R. P., Henry, M. J., Taylor, R., Duncan, E. L., Danoy, P., Costa, M. J., et al. (2013). A novel serogenetic approach determines the community prevalence of celiac disease and informs improved diagnostic pathways. BMC Medicine,11, 188–200. doi:10.1186/1741-7015-11-188.
2. Assfalg, M., Bertini, I., Colangiuli, D., Luchinat, C., Schafer, H., Schutz, B., et al. (2008). Evidence of different metabolic phenotypes in humans. Proceedings of the National Academy of Sciences of the United States of America,105(5), 1420–1424. doi:10.1073/pnas.0705685105.
3. Beckonert, O., Coen, M., Keun, H. C., Wang, Y. L., Ebbels, T. M. D., Holmes, E., et al. (2010). High-resolution magic-angle-spinning NMR spectroscopy for metabolic profiling of intact tissues. Nature Protocols,5(6), 1019–1032. doi:10.1038/nprot.2010.45.
4. Bernini, P., Bertini, I., Calabro, A., la Marca, G., Lami, G., Luchinat, C., et al. (2011a). Are patients with potential celiac disease really potential? The answer of metabonomics. Journal of Proteome Research,10(2), 714–721. doi:10.1021/pr100896s.
5. Bernini, P., Bertini, I., Luchinat, C., Nepi, S., Saccenti, E., Schaefer, H., et al. (2009). Individual human phenotypes in metabolic space and time. Journal of Proteome Research,8(9), 4264–4271. doi:10.1021/pr900344m.
6. Bernini, P., Bertini, I., Luchinat, C., Nincheri, P., Staderini, S., & Turano, P. (2011b). Standard operating procedures for pre-analytical handling of blood and urine for metabolomic studies and biobanks. Journal of Biomolecular NMR,49(3–4), 231–243. doi:10.1007/s10858-011-9489-1.
7. Bertini, I., Cacciatore, S., Jensen, B. V., Schou, J. V., Johansen, J. S., Kruhøffer, M., et al. (2012). Metabolomic NMR fingerprinting to identify and predict survival of patients with metastatic colorectal cancer. Cancer Research,72(1), 356–364. doi:10.1158/0008-5472.CAN-11-1543.
8. Bertini, I., Calalbro, A., De Carli, V., Luchinat, C., Nepi, S., Porfirio, B., et al. (2009). The metabonomic signature of celiac disease. Journal of Proteome Research,8(1), 170–177. doi:10.1021/pr800548z.
9. Bjerrum, J. T., Nielsen, O. H., Hao, F., Tang, H., Nicholson, J. K., Wang, Y., et al. (2010). Metabonomics in ulcerative colitis: Diagnostics, biomarker identification, and insight into the pathophysiology. Journal of Proteomics,9(2), 954–962. doi:10.1021/pr9008223.
10. Bouatra, S., Aziat, F., Mandal, R., Guo, A. C., Wilson, M. R., Knox, C., et al. (2013). The human urine metabolome. PLoS ONE,8(9), e73076. doi:10.1371/journal.pone.0073076.
11. Bustamante, S., Pickford, R., Shin, S., Luber, R., Campbell, B., Redmond, D., et al. (2010). Metabolomics in inflammatory bowel disease. Journal of Gastroenterology and Hepatology,25(Suppl. 3), A83–A83.
12. Calavia, R., Annanouch, F. E., Correig, X., & Yanes, O. (2012). Nanostructure initiator mass spectrometry for tissue imaging in metabolomics: Future prospects and perspectives. Journal of Proteomics,75(16), 5061–5068. doi:10.1016/j.jprot.2012.05.002.
13. Catassi, C., Kryszak, D., Bhatti, B., Sturgeon, C., Helzlsouer, K., Clipp, S. L., et al. (2010). Natural history of celiac disease autoimmunity in a USA cohort followed since 1974. Annals of Medicine,42(7), 530–538. doi:10.3109/07853890.2010.514285.
14. Collino, S., Martin, F. P. J., & Rezzi, S. (2013). Clinical metabolomics paves the way towards future healthcare strategies. British Journal of Clinical Pharmacology,75(3), 619–629. doi:10.1111/j.1365-2125.2012.04216.x.
15. de Vos, W. M., & de Vos, E. A. J. (2012). Role of the intestinal microbiome in health and disease: From correlation to causation. Nutrition Reviews,70, S45–S56. doi:10.1111/j.1753-4887.2012.00505.x.
16. Denoroy, L., Zimmer, L., Renaud, B., & Parrot, S. (2013). Ultra high performance liquid chromatography as a tool for the discovery and the analysis of biomarkers of diseases: A review. Journal of Chromatography B-Analytical Technologies in the Biomedical and Life Sciences,927, 37–53. doi:10.1016/j.jchromb.2012.12.005.
17. Di Cagno, R., De Angelis, M., De Pasquale, I., Ndagijimana, M., Vernocchi, P., Ricciuti, P., et al. (2011). Duodenal and faecal microbiota of celiac children: Molecular, phenotype and metabolome characterization. BMC Microbiology,11(1), 219. doi:10.1186/1471-2180-11-219.
18. Di Cagno, R., Rizzello, C. G., Gagliardi, F., Ricciuti, P., Ndagijimana, M., Francavilla, R., et al. (2009). Different fecal microbiotas and volatile organic compounds in treated and untreated children with celiac disease. Applied and Environmental Microbiology,75(12), 3963–3971. doi:10.1128/aem.02793-08.
19. Dube, C., Rostom, A., Sy, R., Cranney, A., Saloojee, N., Garritty, C., et al. (2005). The prevalence of celiac disease in average-risk and at-risk Western European populations: A systematic review. Gastroenterology,128(4), S57–S67. doi:10.1053/j.gastro.2005.02.014.
20. Emwas, A. H. M., Salek, R. M., Griffin, J. L., & Merzaban, J. (2013). NMR-based metabolomics in human disease diagnosis: Applications, limitations, and recommendations. Metabolomics,9(5), 1048–1072. doi:10.1007/s11306-013-0524-y.
21. Gibney, M. J., Walsh, M., Brennan, L., Roche, H. M., German, B., & van Ommen, B. (2005). Metabolomics in human nutrition: Opportunities and challenges. American Journal of Clinical Nutrition,82(3), 497–503.
22. Greving, M. P., Patti, G. J., & Siuzdak, G. (2011). Nanostructure-initiator mass spectrometry metabolite analysis and imaging. Analytical Chemistry,83(1), 2–7. doi:10.1021/ac101565f.
23. Hedrick, V. E., Dietrich, A. M., Estabrooks, P. A., Savla, J., Serrano, E., & Davy, B. M. (2012). Dietary biomarkers: Advances, limitations and future directions. Nutrition Journal,11(1), 109. doi:10.1186/1475-2891-11-109.
24. Herman, M. L., Rubio-Tapia, A., Lahr, B. D., Larson, J. J., Van Dyke, C. T., & Murray, J. A. (2012). Patients with celiac disease are not followed up adequately. Clinical Gastroenterology and Hepatology,10(8), 893. doi:10.1016/j.cgh.2012.05.007.
25. Hill, I. D. (2005). What are the sensitivity and specificity of serologic celiac disease? Do sensitivity and specificity vary in populations? Gastroenterology,128(4), S25–S32. doi:10.1053/j.gastro.2005.02.012.
26. Holmes, E., Li, J. V., Athanasiou, T., Ashrafian, H., & Nicholson, J. K. (2011). Understanding the role of gut microbiome-host metabolic signal disruption in health and disease. Trends in Microbiology,19(7), 349–359. doi:10.1016/j.tim.2011.05.006.
27. Holmes, E., Wilson, I. D., & Nicholson, J. K. (2008). Metabolic phenotyping in health and disease. Cell,134(5), 714–717. doi:10.1016/j.cell.2008.08.026.
28. 1H HR-MAS NMR spectroscopy of tumor-induced local metabolic “field-effects” enables colorectal cancer staging and prognostication. Journal of Proteome Research,12(2), 959–968. doi:10.1021/pr3010106.
29. Johnson, C. H., & Gonzalez, F. J. (2012). Challenges and opportunities of metabolomics. Journal of Cellular Physiology,227(8), 2975–2981. doi:10.1002/jcp.24002.
30. Koal, T., & Deigner, H. P. (2010). Challenges in mass spectrometry based targeted metabolomics. Current Molecular Medicine,10(2), 216–226.
31. König, S. (2011). Urine molecular profiling distinguishes health and disease: New methods in diagnostics? Focus on UPLC-MS. Expert Review of Molecular Diagnostics,11(4), 383–391. doi:10.1586/erm.11.13.
32. Koulman, A., Lane, G. A., Harrison, S. J., & Volmer, D. A. (2009). From differentiating metabolites to biomarkers. Analytical and Bioanalytical Chemistry,394(3), 663–670. doi:10.1007/s00216-009-2690-3.
33. Laurin, P., Falth-Magnusson, K., & Sundqvist, T. (2003). Increase in nitric oxide urinary products during gluten challenge in children with coeliac disease. Scandinavian Journal of Gastroenterology,38(1), 55–60.
34. Lindon, J. C., Beckonert, O. P., Holmes, E., & Nicholson, J. K. (2009). High-resolution magic angle spinning NMR spectroscopy: Application to biomedical studies. Progress in Nuclear Magnetic Resonance Spectroscopy,55(2), 79–100. doi:10.1016/j.pnmrs.2008.11.004.
35. Losowsky, M. S. (2008). A history of coeliac disease. Digestive Diseases,26(2), 112–120. doi:10.1159/000116768.
36. Ludvigsson, J. F., Leffler, D. A., Bai, J. C., Biagi, F., Fasano, A., Green, P. H. R., et al. (2013). The Oslo definitions for coeliac disease and related terms. Gut,62(1), 43–52. doi:10.1136/gutjnl-2011-301346.
37. Martin, F.-P. J., Collino, S., & Rezzi, S. (2011). 1H NMR-based metabonomic applications to decipher gut microbial metabolic influence on mammalian health. Magnetic Resonance in Chemistry,49, S47–S54. doi:10.1002/mrc.2810.
38. Martin, F. P. J., Dumas, M. E., Wang, Y. L., Legido-Quigley, C., Yap, I. K. S., Tang, H. R., et al. (2007). A top-down systems biology view of microbiome-mammalian metabolic interactions in a mouse model. Molecular Systems Biology,3, 112. doi:10.1038/msb4100153.
39. Martin, F. P. J., Montoliu, I., Kochhar, S., & Rezzi, S. (2010). Chemometric strategy for modeling metabolic biological space along the gastrointestinal tract and assessing microbial influences. Analytical Chemistry,82(23), 9803–9811. doi:10.1021/ac102015n.
40. Mooney, P. D., Hadjivassiliou, M., & Sanders, D. S. (2014). Coeliac disease. BMJ,348, 1–8. doi:10.1136/bmj.g1561.
41. Nicholson, J. K., Holmes, E., Kinross, J. M., Darzi, A. W., Takats, Z., & Lindon, J. C. (2012). Metabolic phenotyping in clinical and surgical environments. Nature,491(7424), 384–392. doi:10.1038/nature11708.
42. Primrose, S., Draper, J., Elsom, R., Kirkpatrick, V., Mathers, J. C., Seal, C., et al. (2011). Metabolomics and human nutrition. The British Journal of Nutrition,105(8), 1277–1283. doi:10.1017/s0007114510004812.
43. Reimund, J. M., Duclos, B., Koehl, C., Lehr, L., Ezenfis, J., & Baumann, R. (1999). Nitric oxide end products in patients hospitalized for diarrhoea. European Journal of Gastroenterology and Hepatology,11(9), 1013–1018. doi:10.1097/00042737-199909000-00011.
44. Ryan, D., & Robards, K. (2006). Metabolomics: The greatest omics of them all? Analytical Chemistry,78(23), 7954–7958. doi:10.1021/ac0614341.
45. Ryan, D., Robards, K., Prenzler, P. D., & Kendall, M. (2011). Recent and potential developments in the analysis of urine: A review. Analytica Chimica Acta,684(1–2), 17–29. doi:10.1016/j.aca.2010.10.035.
46. Sanchez, E., De Palma, G., Capilla, A., Nova, E., Pozo, T., Castillejo, G., et al. (2011). Influence of environmental and genetic factors linked to celiac disease risk on infant gut colonization by bacteroides species. Applied and Environmental Microbiology,77(15), 5316–5323. doi:10.1128/aem.00365-11.
47. Scalbert, A., Brennan, L., Fiehn, O., Hankemeier, T., Kristal, B. S., van Ommen, B., et al. (2009). Mass-spectrometry-based metabolomics: Limitations and recommendations for future progress with particular focus on nutrition research. Metabolomics,5(4), 435–458. doi:10.1007/s11306-009-0168-0.
48. Scalbert, A., Brennan, L., Manach, C., Andres-Lacueva, C., Dragsted, L. O., Draper, J., et al. (2014). The food metabolome: A window over dietary exposure. American Journal of Clinical Nutrition,99(6), 1286–1308. doi:10.3945/ajcn.113.076133.
49. Schippa, S., Iebba, V., Barbato, M., Di Nardo, G., Totino, V., Checchi, M. P., et al. (2010). A distinctive ‘microbial signature’ in celiac pediatric patients. BMC Microbiology,10, 175. doi:10.1186/1471-2180-10-175.
50. Sellitto, M., Bai, G. Y., Serena, G., Fricke, W. F., Sturgeon, C., Gajer, P., et al. (2012). Proof of concept of microbiome-metabolome analysis and delayed gluten exposure on celiac disease autoimmunity in genetically at-risk infants. PLoS One,7(3), e33387. doi:10.1371/journal.pone.0033387.
51. Sharkey, L. M., Corbett, G., Currie, E., Lee, J., Sweeney, N., & Woodward, J. M. (2013). Optimising delivery of care in coeliac disease—comparison of the benefits of repeat biopsy and serological follow-up. Alimentary Pharmacology & Therapeutics,38(10), 1278–1291. doi:10.1111/apt.12510.
52. van Ommen, B., Bouwman, J., Dragsted, L. O., Drevon, C. A., Elliott, R., de Groot, P., et al. (2010). Challenges of molecular nutrition research 6: The nutritional phenotype database to store, share and evaluate nutritional systems biology studies. Genes and Nutrition,5(3), 189–203. doi:10.1007/s12263-010-0167-9.
53. Wang, Y., Holmes, E., Comelli, E. M., Fotopoulos, G., Dorta, G., Tang, H., et al. (2007). Topographical variation in metabolic signatures of human gastrointestinal biopsies revealed by high-resolution magic-angle spinning H-1 NMR spectroscopy. Journal of Proteome Research,6(10), 3944–3951. doi:10.1021/pr0702565.
54. Wang, H. L., Tso, V. K., Slupsky, C. M., & Fedorak, R. N. (2010). Metabolomics and detection of colorectal cancer in humans: A systematic review. Future Oncology,6(9), 1395–1406. doi:10.2217/fon.10.107.
55. Wishart, D. S., Jewison, T., Guo, A. C., Wilson, M., Knox, C., Liu, Y., et al. (2013). HMDB 3.0-the human metabolome database in 2013. Nucleic Acids Research,41(D1), D801–D807. doi:10.1093/nar/gks1065.
56. Wishart, D. S., Querengesser, L. M. M., Lefebvre, B. A., Epstein, N. A., Greiner, R., & Newton, J. B. (2001). Magnetic resonance diagnostics: A new technology for high-throughput clinical diagnostics. Clinical Chemistry,47(10), 1918–1921.
57. Wishart, D. S., Tzur, D., Knox, C., Eisner, R., Guo, A. C., Young, N., et al. (2007). HMDB: The human metabolome database. Nucleic Acids Research,35, D521–D526. doi:10.1093/nar/gkl923.
58. Zhang, A. H., Sun, H., Wang, P., Han, Y., & Wang, X. J. (2012). Recent and potential developments of biofluid analyses in metabolomics. Journal of Proteomics,75(4), 1079–1088. doi:10.1016/j.jprot.2011.10.027.