Study of colorectal polyps using 1H Nuclear Magnetic Resonance spectroscopy

authors:

avatar sedigheh sadeghi , avatar ayda iravani , avatar mohammad arjmand , avatar farideh vahabi , avatar syedmahmood eshaghhoseini , avatar akbar oghalai , avatar fatemeh mirkhani , avatar Zahra Zamani , *

Koomesh: Vol.17, issue 4; 974-980
published online: September 28, 2016
article type: Research Article
received: June 01, 2014
accepted: January 01, 2016

how to cite: sadeghi S, iravani A, arjmand M, vahabi F, eshaghhoseini S, et al. Study of colorectal polyps using 1H Nuclear Magnetic Resonance spectroscopy. koomesh. 2016;17(4):e151192. 

Abstract

Introduction: The patients with polyps and ulcerative colitis diagnosis are more susceptible to colorectal cancer. So far, the diagnosis of colorectal diseases has been dependent on invasive procedures, such as sigmoidoscopy and colonoscopy. However, some recent research has been initiated for early diagnosis of colon cancer by using1H nuclear magnetic resonance (1H NMR) spectroscopy and chemometrics methods. In this study, spectrum results of patients and samples of normal subjects were compared. Materials and Methods: Participants who referred for colonoscopy (n=40) filled a consent form.They had received liquid diets for last 72 hours. Blood samples were collected in heparinized tubes. Samples were collected from patients who were diagnosed with polyps and also normal subjects. The separated plasma samples were sent for 1HNMR spectroscopy using CPMG Spin-echo methods. The samples were analyzed using ProMetab software, with performance of Principle Component Analysis.  The different metabolites were identified by their chemical shifts. Results: There were 1624 metabolites in each spectrum. Effective metabolites were detected using Human Metabolome Data Base and effective metabolic cycle were determined using metaboanalyst Data Base. Conclusion: These findings indicated that the metabolism of amino acid tRNA synthase, histidine, cyanoamine and thiamine are the main differentiating metabolic cycles involved in the production of colorectal polyp.

References

  • 1.

    Wong CK, Fedorak RN, Prosser CI, Stewart ME, van Zanten SV, Sadowski DC. The sensitivity and specificity of guaiac and immunochemical fecal occult blood tests for the detection of advanced colonic adenomas and cancer. Int J Colorectal Dis 2012; 27: 1657-1664.

  • 2.

    Gorey KM, Luginaah IN, Bartfay E, Fung KY, Holowaty EJ, Wright FC, et al. Effects of socioeconomic .status on colon cancer treatment accessibility and survival in Toronto, Ontario, and San Francisco, California 1996-2006. Am J Public Health 2011; 101: 112-119.

  • 3.

    Weljie AM, Newton J, Mercier P, Carlson E, Slupsky CM. Targeted profiling: quantitative analysis of 1H NMR metabolomics data. Anal Chem 2006; 78: 4430-4442.##.

  • 4.

    Wishart DS. Quantitative metabolomics using NMR. TrAC Trends Analy Chem 2008; 27: 228-237.

  • 5.

    Bollard ME, Stanley EG, Lindon JC, Nicholson JK, Holmes E. NMR-based metabonomic approaches for evaluating physiological influences on biofluid composition. NMR Biomed 2005; 18: 143-162.

  • 6.

    Spratlin JL, Serkova NJ, Eckhardt SG. Clinical applications of metabolomics in oncology: a review. Clin Cancer Res 2009; 15: 431-440.

  • 7.

    Madsen R, Lundstedt T, Trygg J. Chemometrics in metabolomics--a review in human disease diagnosis. Anal Chim Acta 2010; 659: 23-33.

  • 8.

    Qiu Y, Cai G, Su M, Chen T, Liu Y, Xu Y, et al. Urinary metabonomic study on colorectal cancer. J Proteome Res 2010; 9: 1627-1634.

  • 9.

    Cheng Y, Xie G, Chen T, Qiu Y, Zou X, Zheng M, et al. Distinct urinary metabolic profile of human colorectal cancer. J Proteome Res 2012; 11: 1354-1363.

  • 10.

    Viant MR. Improved methods for the acquisition and interpretation of NMR metabolomic data. Biochem Biophys Res Commun 2003; 310: 943-948.

  • 11.

    Wishart DS, Jewison T, Guo AC, Wilson M, Knox C, Liu Y, et al. HMDB 3.0--The human metabolome database in 2013. Nucleic Acids Res 2013; 41: D801-807.

  • 12.

    Zamani Z, Arjmand M, Vahabi F, Eshaq Hosseini SM, Fazeli SM, Iravani A, et al. A metabolic study on colon cancer using (1)h nuclear magnetic resonance spectroscopy. Biochem Res Int 2014; 2014: 348712.

  • 13.

    Xia J, Mandal R, Sinelnikov IV, Broadhurst D, Wishart DS. MetaboAnalyst 2.0--a comprehensive server for metabolomic data analysis. Nucleic Acids Res 2012; 40: W127-133.

  • 14.

    Mahdavinia M, Bishehsari F, Ansari R, Norouzbeigi N, Khaleghinejad A, Hormazdi M, et al. Family history of colorectal cancer in Iran. BMC Cancer 2005; 5: 112.

  • 15.

    Monleon D, Morales JM, Barrasa A, Lopez JA, Vazquez C, Celda B. Metabolite profiling of fecal water extracts from human colorectal cancer. NMR Biomed 2009; 22: 342-348.

  • 16.

    Yang XD, Ai W, Asfaha S, Bhagat G, Friedman RA, Jin G, et al. Histamine deficiency promotes inflammation-associated carcinogenesis through reduced myeloid maturation and accumulation of CD11b+Ly6G+ immature myeloid cells. Nat Med 2011; 17: 87-95.

  • 17.

    Garcia-Caballero M, Neugebauer E, Campos R, Nunez de Castro I, Vara-Thorbeck C. Increased histidine decarboxylase (HDC) activity in human colorectal cancer: results of a study on ten patients. Agents Actions 1988; 23: 357-360.

  • 18.

    Guo M, Yang XL, Schimmel P. New functions of aminoacyl-tRNA synthetases beyond translation. Nat Rev Mol Cell Biol 2010; 11: 668-674.

  • 19.

    Kim S, You S, Hwang D. Aminoacyl-tRNA synthetases and tumorigenesis: more than housekeeping. Nat Rev Cancer 2011; 11: 708-718.

  • 20.

    Reidling JC, Said HM. Adaptive regulation of intestinal thiamin uptake: molecular mechanism using wild-type and transgenic mice carrying hTHTR-1 and -2 promoters. Am J Physiol Gastrointest Liver Physiol 2005; 288: G1127-1134.

  • 21.

    Zastre JA, Sweet RL, Hanberry BS, Ye S. Linking vitamin B1 with cancer cell metabolism. Cancer Metab 2013; 1: 16.