OBJECTIVES: The aims of this study were (1) to determine nuclear magnetic resonance spectroscopic characteristics and metabolite profiles of serum samples from patients with pancreatic cancer compared with noncancerous control samples and (2) to ascertain if the accuracy of metabolite identification by 1D spectra can be improved upon by confirmation of spin-system assignment using more sophisticated experiments. METHODS: Nuclear magnetic resonance spectra, including 1D, total correlation spectroscopy, and heteronuclear multiple/single quantum coherence, were obtained from serum samples from patients with pancreatic cancer and control subjects and used to determine serum levels of a range of metabolites. RESULTS: The data show that total choline (P = 0.03), taurine (P = 0.03), and glucose plus triglycerides (P = 0.01) are significantly higher in cancer versus control samples. Also detected were species that could not be individually identified and that were designated UCM (unresolved complex matter). Levels of UCM are significantly higher in subjects with cancer, being almost double those of control samples. CONCLUSIONS: Although metabolites such as lactate, taurine, glucose, choline, and triglycerides can be determined from 1D spectra, accuracy is improved by confirmation of spin-system assignment with total correlation spectroscopy and heteronuclear multiple/single quantum coherence spectral analysis. In addition, we introduce a new metric, UCM, which is at higher concentrations in cancer compared with control samples.
OBJECTIVES: The aims of this study were (1) to determine nuclear magnetic resonance spectroscopic characteristics and metabolite profiles of serum samples from patients with pancreatic cancer compared with noncancerous control samples and (2) to ascertain if the accuracy of metabolite identification by 1D spectra can be improved upon by confirmation of spin-system assignment using more sophisticated experiments. METHODS: Nuclear magnetic resonance spectra, including 1D, total correlation spectroscopy, and heteronuclear multiple/single quantum coherence, were obtained from serum samples from patients with pancreatic cancer and control subjects and used to determine serum levels of a range of metabolites. RESULTS: The data show that total choline (P = 0.03), taurine (P = 0.03), and glucose plus triglycerides (P = 0.01) are significantly higher in cancer versus control samples. Also detected were species that could not be individually identified and that were designated UCM (unresolved complex matter). Levels of UCM are significantly higher in subjects with cancer, being almost double those of control samples. CONCLUSIONS: Although metabolites such as lactate, taurine, glucose, choline, and triglycerides can be determined from 1D spectra, accuracy is improved by confirmation of spin-system assignment with total correlation spectroscopy and heteronuclear multiple/single quantum coherence spectral analysis. In addition, we introduce a new metric, UCM, which is at higher concentrations in cancer compared with control samples.
Authors: Jaroslav Tumas; Kotryna Kvederaviciute; Marius Petrulionis; Benediktas Kurlinkus; Arnas Rimkus; Greta Sakalauskaite; Jonas Cicenas; Audrius Sileikis Journal: Med Oncol Date: 2016-11-02 Impact factor: 3.064
Authors: Alexander Benedikt Leichtle; Uta Ceglarek; Peter Weinert; Christos T Nakas; Jean-Marc Nuoffer; Julia Kase; Tim Conrad; Helmut Witzigmann; Joachim Thiery; Georg Martin Fiedler Journal: Metabolomics Date: 2012-11-06 Impact factor: 4.290
Authors: Khyati Y Mehta; Hung-Jen Wu; Smrithi S Menon; Yassi Fallah; Xiaogang Zhong; Nasser Rizk; Keith Unger; Mark Mapstone; Massimo S Fiandaca; Howard J Federoff; Amrita K Cheema Journal: Oncotarget Date: 2017-08-18