2018
DOI: 10.1007/s00216-018-1396-9
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Balancing metabolome coverage and reproducibility for untargeted NMR-based metabolic profiling in tissue samples through mixture design methods

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Cited by 13 publications
(8 citation statements)
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“…Table S1 presents the overall list of assigned peaks (52 in total) and corresponding information regarding metabolite predominance in each type of tissue. In general, our results are consistent with previous reports of 1 H NMR spectra of kidney [44,45,46] and liver extracts [46,47,48,49], adding new information regarding the polar metabolome of mice kidney (namely, changes in the levels of inosine monophosphate (IMP), uridine monophosphate (UMP), allantoin, threonine, 3-hydroxyisobutyrate (3-HIBA), trimethylamine N -oxide (TMAO), uridine diphosphate-glucuronate (UDP-GlcA)), liver (asparagine, glycerophosphocholine (GPC), hypoxanthine, hippurate, IMP, threonine, 3-HIBA, TMAO, and UDP-GlcA), and breast tissue, for which, to our knowledge, no previous 1 H NMR metabolomics study has been reported. By visual inspection of the spectra in Figure 1, it becomes clear that alanine, lactate, and taurine predominate in all three tissue types, whereas specific characteristics are noted, as expected, for different tissues: (1) kidney comprises relatively high levels of betaine, m -inositol, and inosine, (2) liver shows high levels of acetone, glucose, glycogen, and glutathione (reduced form, GSH), and (3) breast tissue shows high levels of creatine, phosphocholine, and glycerol moieties arising from glycerolipids.…”
Section: Resultssupporting
confidence: 94%
“…Table S1 presents the overall list of assigned peaks (52 in total) and corresponding information regarding metabolite predominance in each type of tissue. In general, our results are consistent with previous reports of 1 H NMR spectra of kidney [44,45,46] and liver extracts [46,47,48,49], adding new information regarding the polar metabolome of mice kidney (namely, changes in the levels of inosine monophosphate (IMP), uridine monophosphate (UMP), allantoin, threonine, 3-hydroxyisobutyrate (3-HIBA), trimethylamine N -oxide (TMAO), uridine diphosphate-glucuronate (UDP-GlcA)), liver (asparagine, glycerophosphocholine (GPC), hypoxanthine, hippurate, IMP, threonine, 3-HIBA, TMAO, and UDP-GlcA), and breast tissue, for which, to our knowledge, no previous 1 H NMR metabolomics study has been reported. By visual inspection of the spectra in Figure 1, it becomes clear that alanine, lactate, and taurine predominate in all three tissue types, whereas specific characteristics are noted, as expected, for different tissues: (1) kidney comprises relatively high levels of betaine, m -inositol, and inosine, (2) liver shows high levels of acetone, glucose, glycogen, and glutathione (reduced form, GSH), and (3) breast tissue shows high levels of creatine, phosphocholine, and glycerol moieties arising from glycerolipids.…”
Section: Resultssupporting
confidence: 94%
“…Typical 1 H-NMR CPMG (600 MHz) spectra of different brain regions (midbrain, cortex, striatum, hippocampus, cerebellum, and hypothalamus, respectively), obtained from control, PD and LID rats are presented in Figure 2. Assignments were performed according to our previous studies (Zheng et al, 2017(Zheng et al, , 2018a using the Chenomx NMR suite 7.0 (Chenomx Inc., Edmonton, AB, Canada). A total of 20 metabolites were identified, which can be detected in all six brain regions (Figure 2).…”
Section: Nmr-based Metabolic Profiling Of Different Brain Regionsmentioning
confidence: 99%
“…Metabolite extraction from tissue samples was conducted using the reported method in our previous study. 23 Briefly, the frozen tissue was weighted into an centrifuge tube, and then, 4 mL/g of methanol and 0.85 mL/g of distilled water was added according to tissue weight and homogenized using a handheld homogenizer (Fluko F8, Essen, German). Subsequently, 2 mL/g of chloroform and 2 mL/g of distilled water were added and vortexed for 30 s. The mixture was kept on ice for 15 min and centrifuged at 10,000g for 15 min at 4 °C.…”
Section: Tissue Sample Collection and Preparationmentioning
confidence: 99%
“…Subsequently, we aligned all NMR spectra obtained from the same tissue sample by using the "icoshif t" procedure under MATLAB environment (R2012a, The Mathworks Inc., MA, USA). 24 NMR signals were assigned on the basis of the reported data 23 and the Human Metabolome Database. 25 To further confirm tentative identifications, a 13 C− 1 H heteronuclear single quantum coherence experiment was employed for the typical samples.…”
Section: H-nmr-based Metabolomics Analysismentioning
confidence: 99%